Input-to-state stability of switched nonlinear systems

Size: px
Start display at page:

Download "Input-to-state stability of switched nonlinear systems"

Transcription

1 Scece Cha Seres F: Iforao Sceces 28 SCIENCE IN CHINA PRESS Sprer fo.sccha.co Ipu-o-sae saby of swched oear syses FENG We,2 & ZHANG JFe 2 Coee of Iforao Sceces ad Eeer, Shado Arcuura Uversy, Ta a 278, Cha; 2 Acadey of aheacs ad Syses Scece, Chese Acadey of Sceces, Be 8, Cha The pu-o-sae saby (ISS probe s suded for swched syses wh fe subsyses. By us upe Lyapuov fuco ehod, a suffce ISS codo s ve based o a quaave reao of he coro ad he vaues of he Lyapuov fucos of he subsyses before ad afer he swch sas. I ers of he averae dwe-e of he swch aws, soe suffce ISS codos are obaed for swched oear syses ad swched ear syses, respecvey. swched syse, pu-o-sae saby, Lyapuov fuco, dwe-e Iroduco Sce he perforace of a rea coro syse s affeced ore or ess by uceraes, such as uodeed dyacs, paraeer perurbaos, exoeous dsurbaces, easuree errors, ec., he research o robusess of coro syses do aways have a va saus he deveope of coro heory ad echooy. A a robusess aayss of oear coro syses, Soa, Wa ad L [ ] deveoped a ew ehod fro he po of vew of pu-o-sae saby (ISS, pu-o-oupu saby (IOS ad era pu-o-sae saby (ISS, ad obaed a seres of fudaea resus by uz ISS-, IOS-Lyapuov fucos. Recey, aca- Auar ad García [2] apped he dea o sudy he robusess of swched oear syses of he for x ( = f ( x(, u( ( Λ, where Λ s he dex se. For swched syses, ahouh os of resus have bee preseed, hey ay focus o he probes of saby, coroaby, observaby ad sabzao coro [3 2]. For he robusess sudy of such syses, he reeva eraure s o rch, ad ref. [2] sees he oy oe o he ISS of swched oear syses, o our kowede. Receved Jauary 22, 27; acceped Auus 5, 28; pubshed oe Ocober, 28 do:.7/s Correspod auhor (ea: fwsakefa@26.co Suppored by he Naoa Naura Scece Foudao of Cha (Gra No Sc Cha Ser F-If Sc Dec. 28 vo. 5 o

2 I hs paper, we vesae he ISS of eera swched oear syses (cud he case where here s o coo Lyapuov fuco. Uke he exs resus, whch ay focus o esabsh ISS coverse heores for oear syses [ ], by ope ou he characersc of swched oear (SNL syses, we a a prese soe suffce ISS codos for SNL syses, cud for sace, he reao of he ISS ad he averae dwe-e of he swch aw. Precsey, we w vesae SNL e-vary syses, whch ay vove fe subsyses. I hs case, swch ao dffere subsyses ay ead o dscouy of he syse fuco, ad dssasfes he couy assupo requred by refs. [ ]. Thus, he resus refs. [ ] cao be eerazed o eera SNL syses drecy. I soe speca cases, for sace, where here exss a coo ISS-Lyapuov fuco (CISSLF, a suffce ad ecessary ISS codo of SNL syses wh arbrary swch aws s ve [2] uder he assupo ha f ( xu, s ufory (wh respec o ocay Lpschz couous o x, u. Here, by us he ehods of upe Lyapuov fuco ad averae dwe-e, soe suffce ISS codos are ve for eera SNL syses, whch ay have o CISSLF. The ISS-Lyapuov fucos of he subsyses are aowed o be dffere fro each oher raher ha spy assu he exsece of a CISSLF. Besdes, he ufory assupo o he oca Lpschz couy of f ( xu, wh respec o s o requred. Thus, our fraework s ore eera ha ha ref. [2]. The reader of hs paper s orazed as foows. Seco 2 descrbes he probe o be vesaed ad roduces soe oaos ad defos. I seco 3, by us he upe Lyapuov fuco ehod, a suffce ISS codo s ve for eera swched oear syses. I seco 4, by us he averae dwe-e ehod, soe suffce ISS codos are preseed for SNL syses ad swched ear syses, respecvey. I seco 5, soe cocud rearks are ve. 2 Noaos ad probe foruao Cosder he foow swched oear syse x ( = f (, x(, u(, x( = x, ( (, x ( where x( R ad u( R are he syse sae ad pu, respecvey; ad (, : [, R I ( I s he dex se, aybe fe s he swch aw ad s rh-had couous ad pecewse cosa o ; for ay I, fuco f ( xu,, : [, R R s couous wh respec o xu,,, ufory ocay Lpschz couous wh respec o x, u, ad sasfes f (,,. Here, be dffere fro ref. [2], f ( xu,, s e vary, ad he ufory of he oca Lpschz couy of f ( xu,, s wh respec o raher ha. Throuhou he paper, R deoes he rea uber se [, ; for a fuco γ ( : R R, γ K eas ha γ s couous ad srcy creas, ad sasfes γ ( = ; γ K eas ha γ K ad γ are ubouded; for a fuco β ( s, : R R R, β KL FENG We e a. Sc Cha Ser F-If Sc Dec. 28 vo. 5 o

3 eas ha for ay fxed s, β ( s, K, ad for ay fxed, β ( s, s couous ad decreases o zero as s ; deoes he Eucdea or R ad he correspod duced arx or, ad for a oepy subse hods x {} = x whe = {} ; R, x f η xη (obvousy, L deoes he se of a he easurabe ad ocay esseay bouded pu u( R o [, uder he foow or, u = sup{ u(, } < ; (2 for wo fucos ϕ( ad χ(, sybo ϕ χ( deoes he copose fuco ϕ( χ( ; s he rade operaor. For ay ve swch aw (,, a codo x R, u( L, x( x (;, x, u deoes he sae raecory of syse ( wh he axa exs erva [, T, where he cosa T T(, x, u. Defo. Cosder he foow eera oear syse ω( = (, ω(, v(, ω( = ω, (3 where fuco (,, : [, R R sasfes (,,. For ay ω R, L v, f he raecory ω( ω(;, ω, v of (3 s defed we o [,, he he syse s caed forward copee. For a cosed se, L R, f syse (3 s forward copee for ay ω v, ad ω(,, he s caed a cosed vara se of syse (3. Reark. By Defo, f syse ( s forward copee for ay ( x,, he a of he subsyses are forward copee. Reark 2. Obvousy, f s a cosed vara se of a subsyses of syse (, he s aso a cosed vara se of syse (. Defo 2 []. For he forward copee syse (3 ad s cosed vara se R, he syse (3 s caed (obay pu-o-sae sabe (ISS wh respec o, f here exs wo fucos β KL ad γ K such ha for ay ω R \ ad L v, ω( ;, ω, v β( ω, γ( v,. (4 Defo 3 [3]. For he forward copee syse (3 ad s cosed vara se R, a sooh fuco V ( ξ, : R [, R s caed a ISS-Lyapuov fuco of he syse (3 wh respec o ξ R \, R, f here exs fucos αα, K, αχ, K such ha for ay μ R ad, α( ξ V ( ξ, α( ξ, (5 ξ χ ( μ V ( ξ, V ( ξ, (, ξ, μ α ( ξ. (6 For shor, hey w be deoed as ( V ; α, α, α, χ he seque. 994 FENG We e a. Sc Cha Ser F-If Sc Dec. 28 vo. 5 o

4 3 ISS codos based o upe Lyapuov fucos I hs seco, by us he upe Lyapuov fuco ehod, suffce ISS codos are expored for swched oear syses. To hs ed, we eed he foow eas. Lea [3]. For he forward copee syse (3, assue R s s cosed vara se. If syse (3 has a ISS-Lyapuov fuco ( V ; α, α, α, χ such ha (5 ad (6 hod for ay ξ R \, μ R ad, he here exss (, ω, v sasfy such ha he souo ω( ω(;, ω, v of syse (3 has he foow propery: ( ω(, S for ay, ad ( ω(, S for ay <. Here, S = {( ξ, : V ( ξ, α χ( v }. Lea 2 [6]. For ay κ K, here exss a C fuco ρ K such ha ρ( r κ( r ρ(, r r. Lea 3. For he forward copee syse (3 ad s cosed vara se R, f syse (3 has a ISS-Lyapuov fuco ( V ; α, α, α, χ such ha (5 ad (6 hod for ay ξ R \, μ R ad, he here exss a C fuco ρ K deped oy o α ad α such ha W( ξ, χ( μ W( ξ, W( ξ, (, ξ, μ W( ξ,, where W ( ξ, = ρ V ( ξ, ad χ( = ρ α χ( K. Proof. For κ( α α ( K, by Lea 2, α ad α K ca deere a C fuco ρ K such ha ρ( r κ( r ρ(, r r. The, by esfy drecy for W ( ξ, = ρ V ( ξ,, oe ca oba he cocuso. Lea 4. For he forward copee syse (, suppose ha R s a cosed vara se of syse (, ad he swch sas of swch aw ( x, are < 2 < < k <. If for ay ve I, subsyse f ( xu,, has a ISS-Lyapuov fuco ( V ; α, α, α, χ such ha α( sup I α ( ad K ax{ V ( x(,, α χ( u } V ( x(,, (7 x x (, ( (, ( he for se S = {( ξ, : V ( ξ, α χ( v } ( I, here exss a coo e-sa ( x u( such ha,, ( x(, S, [,, (8 (, x ( (, x ( ( x (, S, [,. (9 Proof. For =,, 2,, e (, x( =. The, by Lea, for he subsyse f (, xu, o he erva [,, here exss FENG We e a. Sc Cha Ser F-If Sc Dec. 28 vo. 5 o

5 (, x(, u, ( such ha for ay, he sae raecory x( x(;, x, u = x(;, x(, u sasfes ( x(, S (ha s, V ( x(, α χ( u ; ad for ay If < for ay,, 2,, case, se = he ( (, x(, S. <, ( x S ( =,,2, for ay. I hs =. Oherwse, here exss a oeave eer such ha. Le { } = :, =. The, by Lea, we have (8, ad ( x(, S S, ha s, Ths pes ha α for [,. Parcuary, ( x (, V ( x(, χ( u. Thus, fro (7, foows ha V ( x(, ax { V ( x(,, α χ( u } α χ( u. (, x(, u. Therefore, V ( x(, α χ( u, [,. 2 Repea he above process for = 2, 3,, oe ca oba (9. Based o he ehod of upe Lyapuov fuco, we have he foow heore. Theore. Cosder he forward copee syse (. Suppose ha R s s cosed vara se, ad he swch sas of he swch aw ( x, are < < k <. If here exss ISS-Lyapuov fuco ( V ; α, α, α, χ of subsyse f ( xu(,, I such ha ( αα, K, αχ, K, where α( f α (, α( sup α (, α( f α ( χ( sup I χ ( ; ( (7 hods a each swch sa ( =,, 2,, he syse ( s pu-o-sae sabe. Proof. Frs, by Defo 3 ad (, for ay ξ R \, I I I ad α( ξ V ( ξ, α( ξ,, μ R ad I, we have ξ χ( μ V( ξ, V( ξ, f(, ξ, μ α( ξ, ; ( ad by Lea 2, we kow ha here exss a α such ha ρ( r κ( r ρ(, r r, where ad χ( = ρ α χ(. The, by Lea 3 we have C fuco ρ K deped oy o α ad κ( α α (. Le W ( ξ, = ρ V ( ξ, ρ α( ξ W ( ξ, ρ α( ξ,, (2 I W( ξ, χ( μ W( ξ, W( ξ, f(, ξ, μ W( ξ,, I. (3 By Lea 4, here exss such ha (8 ad (9 hod. Le be he ares eer such ha. The, fro (8 ad (9 ad he defo of W ( ξ,, foows ha (, x( ( (, χ(, [, W x > u or [,, =,,,, (4 996 FENG We e a. Sc Cha Ser F-If Sc Dec. 28 vo. 5 o

6 (, x( χ W ( x(, ( u, [, or [,, =, (5 Ths oeher wh (3 ad (4 ves d W (, ( ( (, (, ( ( (,, [, x x < W x x or [,, =,,,. (6 d Hece, we have ( W(, ( ( (, (, ( ( (,, [,, x x W x x e (7 ( W,,,. (, ( ( (, (, ( ( (,, x x W x x e = Fro (7 ad (8, he defo of W ( ξ,, (4, ad (3 s easy o see The, for ay W ( x(, W ( x(,, =,,,. (8 (, x( (, x( [, or [,, =,,,, by (7 ad (8 we have W ( x(, W ( x(, e (, x( (, x( ( ( ( (, ( (, ( W x e W x e Ths oeher wh (2 ad (5 eads o ( ρ α( x ( ax{ ρ α( x e, χ( u }. Le ad s β(, s = α ρ ( ρ( α( r e ad ( (, ( (,. 2 x 2 x γ( r = α α χ( r. The, β ( s, KL, γ K x( = x ( ;, x, u β( x, γ( u,. Thus, syse ( s pu-o-sae sabe. Reark 3. Codo ( of Theore says ha he eery of he syse shoud o be creas a swch sas. Ths s because ha he ISS s a oba propery hod for a wh respec o x( = x ad u (, raher ha a -sup propery. Oherwse, for sace, f sup x( s cosdered, he he codo ca be reaxed o ha (7 hods afer fe swch sas. Reark 4. Fro he proof of Theore, we see ha β ( s, KL ad γ K are depede of he cocree choce of (,. I oher words, he swched oear syse ( s ISS for a (, sasfy (7. Reark 5. I Theore, sead of codo (, f we assue ha here exss a eer such ha (, (,, x u ad W(, ( ( (, (, ( ( (,,,,,, x x W x x = (9 W (, ( ( (, (,, 2,, x x α χ u = he syse ( s pu-o-sae sabe. I he seque, we w provde soe suffce ISS codos fro aoher po of vew by epoy he cocep of dwe-e of a swch aw. Defo 4. For a swch aw ( x,, suppose s swch sas are < < < k <. The, τ = f k ( k k s caed s dwe-e. FENG We e a. Sc Cha Ser F-If Sc Dec. 28 vo. 5 o

7 Coroary. For he forward copee syse (, suppose ha R s s cosed vara se, ad he swch sas of swch aw ( x, are < < < k <. Uder he codos ad oaos of Theore, sead of codo (, f we assue ha here exss a eer such ha τ ad (9 hods, he syse ( s pu-o-sae sabe. Here, s ve by (. Proof. By Defo 4, we see τ. Hece, (, (,. x u Ths oeher wh Reark 5 eads o he cocuso. Coroary 2. For he forward copee syse (, suppose ha R s s cosed vara se, ad he swch sas of ( x, are < < < k <, ad he dex se I s fe ad deoed wh {,2,, N}( N <. If here exs ISS-Lyapuov fuco ( V ; α, α, α, χ ( I such ha ax{ V ( x(,, α χ( u,, α χ( u } V ( x(,, (, x( N (, x( for =,,, he syse ( s pu-o-sae sabe. Is proof s easy ad oed. 4 ISS codos based o he averae dwe-e I hs seco, we w use he cocep of averae dwe-e o oba soe suffce ISS codos for boh SNL syses ad swched ear syses. Defo 5 [7]. For ay ve cosas τ > ad N, e N ( s, deoe he swch uber of ( x, [,, s > s, ad e [, ] (,: (, s S τ N = N s N, > s. τ The, τ s caed he averae dwe-e of S [, τ N], ad s τ sup sup > s N (, s N s caed he averae dwe-e of ( x,. 4. ISS aayss of swched oear syses Theore 2. For he forward copee syse (, suppose ha R s s cosed vara se, ad swch sas of swch aw ( x, are < < < k <. If here are ISS-Lyapuov fucos ( V; α, α, α, χ ( I ad cosas c >, η, such ha for ay ξ R \, μ R ad I, α( ξ V ( ξ, α( ξ,, (2 ξ χ( μ ( ξ, ( ξ, (, ξ, μ ( ξ,,, V V f cv (2 ax{ η V ( x(,, α χ( u } V ( x(,, =,,, (22 (, x( (, x( 998 FENG We e a. Sc Cha Ser F-If Sc Dec. 28 vo. 5 o

8 η he syse ( s pu-o-sae sabe for ay (, S, N, c where S η η, N = (, [ τ, N]: τ >. c S c Proof. For a ve e sa, assue ha syse ( has swch sas [,, ad deoe he as < 2 < <. Le (, x( = ( =,,, ad ( =,, be he e sa defed accord o (. If f <, he V ( x( s, s > α χ( u for ay s [, Ths oeher wh (2 ves o [,, he by Lea, V ( x(, α χ( u ; (23, ad hece, by (2 we have x( s > χ( u, s [,. (24 Thus, whe d V ( x ( s, s cv ( x ( s, s, s [,. (25 ds <, we have cs ( V ( x( s, s V ( x(, e, s [,. (26 Now, e us cosder he erva [, ( =,2,,. Whe whe whe eads o <, we have, we have V ( x(, α χ( u ; (27 V ( x( s, s > α χ( u, s [,, whch oeher wh (2 x( s ( u, s [,. > χ (28 The, by (2 we have d V ( x ( s, s cv ( x ( s, s, [,. s (29 ds Ths pes ha I parcuar, cs ( V x s s V x e s (3 ( (, ( (,, [,. c ( V x V x e (3 ( (, ( (,. Le π = α χ( u. The, by (23, (26, (27, ad (3, we have c ( { } V ( x(, ax V ( x(, e, π, (32 c ( { π} V ( x(, ax V ( x(, e,, =,2,,. (33 Reca (22 ad subsu (33 o (32 sequeay, we oba { c ( c ( c ( V x V x e e e ( (, ax η ( (,, c ( c ( c ( c ( e e e,, e,. 2 η π π π } FENG We e a. Sc Cha Ser F-If Sc Dec. 28 vo. 5 o

9 Noce ha N (, = ( =,,2,,. The, we have η = e. Thus, { } N (, η N (, η c( N (, η c( V x x e e ( (, ax α( (, π, N (, η c( c(, πe, πe, π. η η Le a = c. The, a >. By Defo 5, for ay ve (, S, N, τ c we s have N (, s N, > s. Ths resus N (, s η c( s Nη τ a ( s. Therefore, by (2 we have N { η a ( N η } α( x ( V ( x (, ax α( x ( e, α χ( u e. Nηas Nη Le β α α γ α α χ (, rs = ( ( re, ( r = ( ( re, r, s. The β KL, γ K ad x( = x ( ;, x, u β( x, γ( u,. Thus, syse ( s pu-o-sae sabe. Reark 6. By η, he codo (22 Theore 2 s obvousy weaker ha he codo (7 Theore. Ths cudes he case where he eery of he subsyse afer a swch sa s reaer ha ha of he subsyse before he swch sa. 4.2 ISS aayss of swched ear syses I hs subseco, we w vesae swched ear u-varabe syses of he for x ( = A x( B u(, x( = x, (34 (, x ( (, x ( where A R, B R are cosa arces for ay I, respecvey. I he seque, for ay arx A, J A deoes he Jordaa ora for of A, η ( A s he ares rea par of he eevaues of A, ad Δ ( A ad Δ ( A are he ares ad saes suar vaues of arx A, respecvey. For a ve arx se A R, A deoes he se of a sabe arces of A, ad A 2 deoes A\ A. Noc ha η ( A depeds couousy upo he paraeer of A, whe A s copac, we have ax A A η( A < ad ax A A η( A = (. A A η A I parcuar, whe he uber of a sabe arces A s fe ad reaer ha zero, we have ax η( A A. A < Lea 5. For ay ve arx se A R, f A ad A are copac, ad A s oepy, he for ay (, A η( A, here exss a cosa ( > such ha where A A a ( A e λ ( A e, A A,, (35 λ ( A ax λ ( A <, (36 A A ( PA ( a( A = η( A, λ( A ( Δ >, ad P( A s osuar a- Δ ( PA ( 2 FENG We e a. Sc Cha Ser F-If Sc Dec. 28 vo. 5 o

10 rx sasfy A= P( A J P( A. A Proof. For ay ve A A, assue ha has p Jorda bocks wh desos of 2 p, ad he rea pars of he correspod eevaues are τ, τ 2,, τ p, respecvey. The, 2 p = ad η( A ax pτ. Noc ha Furher, s easy o see ha J A A e = P( A e P( A, we have = A J ( ( A Δ PA JA e = P( A e P( A e, >. Δ ( PA ( J /2 A e = ( Σ (, where Σ ( = e ( ( 2 e ( ( 2 Sce for we have 4 2( 4 2τ 2 2τ (2! ((! (2! 2( 2( 2 4 p 2 p 2 τ ( ( 2 2 e p p p. 2 2 (( 2! (2! (( p! (, A η( A, A 4 2( ( p Σ 2 2 ( p ( 2 p e, 2 a ( A 2 2 e (2! (( p! Σ( Σ( =, ad hece, ( sup a A [, <, ad 2 a ( A 2 ( e e A JA e Δ( PA ( e Δ( PA ( Σ a ( A a ( A 2 a ( A ( PA ( ( PA ( ( = e Δ e Δ e 2 λ ( A,.e., (35 hods. Furher, by he copacess of A, osuary of P( A o A, ad he couy of Δ ( P ( A ad Δ ( P ( A o A, λ ( A s couous o he copac se A wh respec o A. Thus, (36 hods. Now, we sudy he ISS propery of he swched ear syse (34. For syse (34, e A= { A : I} R ad B= { B : I } R, assue ha A ad B are copac, ad he subse A coss of a he sabe arces of A s oepy ad copac. For ay ve ad se A (, A η( A, defe a ( A ad λ ( A as Lea 5, A a ( A = A a( A, a ( A = ax{,ax A A a( A}, (37 ( N λ ( b ( B = ax B, = e. (38 B B For a ve swch aw ( x, ad a e erva [ s,, e T ( s, A ad T ( s, he oa e of syse (34 ru o sabe subsyses ad usabe subsyses [ s,, respecvey; ad for ay a (, ( A ] ad τ >, defe a be FENG We e a. Sc Cha Ser F-If Sc Dec. 28 vo. 5 o

11 T (, s a ( A a S[ a, τ; A] = (, S[ τ, N ]:sup > s, τ, > τ T (, s a ( A a where he averae dwe-e τ of ( x, s ve by Defo 5. I he seque, for spcy of expresso, we w drop he arues of λ ( A, a ( A, λ a ( A ad b ( B ad deoe he by, a, a ad b, respecvey. Theore 3. For swched ear syse (34, assue ha A ad B are copac, ad he subse A coss of a he sabe arces of A s oepy ad copac. The for ay ve (, A A η( A, ad a (, a ], here exss τ λ such ha a ( for ay (, S[ a, τ; A ], syse (34 s forward copee, ad ( syse (34 s ISS f ad oy f he coro-free syse x ( = A (, x ( x( s asypocay sabe. Proof. Par ( ad he ecessy of par ( are obvous. Thus, beow we eed oy o show he suffcecy. For ay ve e sa, assue ha he e erva [,, syse (34 has swch sas: < 2 < <. Le (, x( = ( =,,,. The, he souo of syse (34 ca be expressed as x( = x (;, x, u =Φ (, x Φ (, sb usds ( Φ(, sb usds (,(39 where (, x( (, x( A ( A ( A ( s Φ = (, ( (, ( (, ( (, x x x s e e e, s [,. We frs show ha for ay ve cosa a (, a ], τ λ, ad swch aw a (, S[ a, τ; A ], here are a > ad > such ha Noc ha we have λ N [ N ( s, ] λ e a ( s Φ( s, e, s. (4, s, =,,2,, ; (, s =, s, = for s [, ; ad [ N ( s, ] λ λ e,. I parcuar, N (, = ad λ = e. Thus, = for s [, ( =,, [ N (, ] λ a ( A(, ( ( ( (, ( ( ( (, ( ( x a A x a A x s Φ( s, λ e e e e [ N ( s, ] λ at ( s, at ( s, e By he defo of S[ a, τ; A ], for ay ve (, S [ a, τ; A ], we have at ( s, s at (, s a( s. Ths oeher wh N (, s N ad. τ τ > τ λ a 22 FENG We e a. Sc Cha Ser F-If Sc Dec. 28 vo. 5 o

12 pes ha a a λ. > The, by soe srahforward cacuaos, we have τ a ( s Φ( s, e, s [, [,, =,,,, ( N λ where = e. Thus, (4 s rue, whch oeher wh (39 ves a ( a ( s a ( s ( ;,, x x u e x e b u ds e b u ds a ( a ( s a ( b e x e b u ds e x u. a as Le β ( rs, = e r ad b γ ( r = r. The, β KL, γ K ad a x ( ;, x, u ( x, ( u, β γ.e., syse (34 s pu-o-sae sabe. Reark 7. Copar Theore 3 wh Theore 2, oe ca see ha for swched ear syse case, soe of he subsyses of syse (34 are aowed o be usabe. However, for swched oear syses, a of s subsyses are requred o be sabe, sce he deree of saby of oear syses s hard o be characerzed. Reark 8. By Theore 3, he ISS of swched ear syse (34 s depede of he cocree choce of (, S[ a, τ; A ]. 5 Cocuso I hs paper, he ISS of swched oear syse ad swched ear syse are vesaed, respecvey. The a resus ca rouhy be dvded o wo casses. Oe s based o upe Lyapuov fuco ehod, ad he oher s based o (averae dwe-e ehod. Frsy, by us he ehod of upe Lyapuov fuco, a suffce ISS codo s ve for eera SNL syses based o a quaave reao of he coro ad he vaues of he Lyapuov fucos of he subsyses before ad afer he swch sas. Here, he ISS-Lyapuov fucos of he subsyses are aowed o be dffere fro each oher raher ha spy assu he exsece of a CISSLF. Thus, he codo s suffce o oy for he swched syses possess a CISSLF, bu aso suffce for he swched syses whou ay CISSLF. Secody, by epoy he ehod of he averae dwe-e, soe ISS suffce codos are ve for swched oear syses ad swched ear syses, respecvey. Ao ohers, he codo o swched oear syses s characerzed by he sze of he dwe-e, ad ha o swched ear syses s characerzed by he averae dwe-e ad he rao of he oa e ha he syse rus o usabe subsyses o he oa e ha he syse rus o sabe subsyses. Soa E D. Sooh sabzao pes copre facorzao. IEEE Tras Auo Coro, 989, 34(4: [DOI] 2 L Y, Soa E D, Wa Y, e a. Ipu o sae sabzaby for paraeerzed faes of syses. I J Robus Noear Cor, 995, 5(3: [DOI] 3 Soa E D, Wa Y. O characerzao of he pu-o-sae saby propery. Sys Cor Le, 995, 24(5: [DOI] 4 L Y, Soa E D, Wa Y. A sooh coverse Lyapuov heore for robus saby. SIA J Coro Op, 996, 34(: FENG We e a. Sc Cha Ser F-If Sc Dec. 28 vo. 5 o

13 24 6 [DOI] 5 Soa E D, Wa Y. New characerzaos of pu o sae saby. IEEE Tras Auo Coro, 996, 4(9: [DOI] 6 Pray L, Wa Y. Sabzao spe of ached uodeed dyacs ad a equvae defo of pu-o-sae saby. ah Coro Sa Sys, 996, 9(: 33 [DOI] 7 Soa E D, Wa Y. A oo of pu o oupu saby. I: Proc of Europea Coro Coferece, Brusses, Ae D, Soa E D, Wa Y. A Lyapuov characerzao of era pu-o-sae saby. IEEE Tras Auo Coro, 2, 45(6: [DOI] 9 Soa E D, Wa Y. Lyapuov characerzaos of pu o oupu saby. SIA J Coro Op, 2, 39(: [DOI] Lberzo D, orse A S, Soa E D. Oupu-pu saby ad u-phase oear syses. IEEE Tras Auo Cor, 22, 47(3: [DOI] Ae D, Soa E D, Wa Y. Ipu-o-sae saby wh respec o pus ad her dervaves. I J Robus Noear Coro, 23, 3(: [DOI] 2 aca-auar J L, García R A. O coverse Lyapuov heores for ISS ad ISS swched oear syses. Sys Cor Le, 2, 42(: [DOI] 3 aro. Jup Lear Syses Auoac Coro. New York: arce Dekker, 99 4 Lberzo D, orse A S. Basc probe saby ad des of swched syses. IEEE Cor Sys, 999, 9(5: 59 7 [DOI] 5 Bracky S. upe Lyapuov fucos ad oher aayss oos for swched ad hybrd syses. IEEE Tras Auo Coro, 998, 43(4: [DOI] 6 Xe G, Wa L. Coroaby ad sabzaby of swched ear syses. Sys Cor Le, 23, 48(2: [DOI] 7 Hespaha J P, orse A S. Saby of swched syses wh averae dwe-e. I: Proc. 38h IEEE Cof. Decso Coro, Zha G, Hu B, Yasuda K, e a. Saby aayss of swched syses wh sabe ad usabe subsyses: a averae dwe e approach. I J Sys Sc, 2, 32(8: Su Z, Ge S S, Lee T H. Coroaby ad reachaby crera for swched ear syses. Auoaca, 22, 38(5: [DOI] 2 Gua A, Seazu C, Va Der ee C. Opa coro of swched auooous ear syses. I: Proc. 4h IEEE Cof. Decso ad Coro, J Y, Chzeck H J. Coroaby, sabzaby ad couous-e arkova up ear quadrac coro. IEEE Tras Auo Coro, 99, 35(7: [DOI] 24 FENG We e a. Sc Cha Ser F-If Sc Dec. 28 vo. 5 o

Asymptotic Behavior of Solutions of Nonlinear Delay Differential Equations With Impulse

Asymptotic Behavior of Solutions of Nonlinear Delay Differential Equations With Impulse P a g e Vol Issue7Ver,oveber Global Joural of Scece Froer Research Asypoc Behavor of Soluos of olear Delay Dffereal Equaos Wh Ipulse Zhag xog GJSFR Classfcao - F FOR 3 Absrac Ths paper sudes he asypoc

More information

Solution of Impulsive Differential Equations with Boundary Conditions in Terms of Integral Equations

Solution of Impulsive Differential Equations with Boundary Conditions in Terms of Integral Equations Joural of aheacs ad copuer Scece (4 39-38 Soluo of Ipulsve Dffereal Equaos wh Boudary Codos Ters of Iegral Equaos Arcle hsory: Receved Ocober 3 Acceped February 4 Avalable ole July 4 ohse Rabba Depare

More information

Cyclically Interval Total Colorings of Cycles and Middle Graphs of Cycles

Cyclically Interval Total Colorings of Cycles and Middle Graphs of Cycles Ope Joural of Dsree Mahemas 2017 7 200-217 hp://wwwsrporg/joural/ojdm ISSN Ole: 2161-7643 ISSN Pr: 2161-7635 Cylally Ierval Toal Colorgs of Cyles Mddle Graphs of Cyles Yogqag Zhao 1 Shju Su 2 1 Shool of

More information

Chapter 1 - Free Vibration of Multi-Degree-of-Freedom Systems - I

Chapter 1 - Free Vibration of Multi-Degree-of-Freedom Systems - I CEE49b Chaper - Free Vbrao of M-Degree-of-Freedo Syses - I Free Udaped Vbrao The basc ype of respose of -degree-of-freedo syses s free daped vbrao Aaogos o sge degree of freedo syses he aayss of free vbrao

More information

March 23, TiCC TR Generalized Residue Codes. Bulgarian Academy of Sciences, Bulgaria and. TiCC, Tilburg University

March 23, TiCC TR Generalized Residue Codes. Bulgarian Academy of Sciences, Bulgaria and. TiCC, Tilburg University Tburg cere for Creave Copug P.O. Bo 90 Tburg Uversy 000 LE Tburg, The Neherads hp://www.uv./cc Ea: cc@uv. Copyrgh S.M. Doduekov, A. Bojov ad A.J. va Zae 00. March, 00 TCC TR 00-00 Geerazed Resdue Codes

More information

The algebraic immunity of a class of correlation immune H Boolean functions

The algebraic immunity of a class of correlation immune H Boolean functions Ieraoal Coferece o Advaced Elecroc Scece ad Techology (AEST 06) The algebrac mmuy of a class of correlao mmue H Boolea fucos a Jgla Huag ad Zhuo Wag School of Elecrcal Egeerg Norhwes Uversy for Naoales

More information

Random Generalized Bi-linear Mixed Variational-like Inequality for Random Fuzzy Mappings Hongxia Dai

Random Generalized Bi-linear Mixed Variational-like Inequality for Random Fuzzy Mappings Hongxia Dai Ro Geeralzed B-lear Mxed Varaoal-lke Iequaly for Ro Fuzzy Mappgs Hogxa Da Depare of Ecooc Maheacs Souhweser Uversy of Face Ecoocs Chegdu 674 P.R.Cha Absrac I h paper we roduce sudy a ew class of ro geeralzed

More information

The Properties of Probability of Normal Chain

The Properties of Probability of Normal Chain I. J. Coep. Mah. Sceces Vol. 8 23 o. 9 433-439 HIKARI Ld www.-hkar.co The Properes of Proaly of Noral Cha L Che School of Maheacs ad Sascs Zheghou Noral Uversy Zheghou Cy Hea Provce 4544 Cha cluu6697@sa.co

More information

Optimality of Distributed Control for n n Hyperbolic Systems with an Infinite Number of Variables

Optimality of Distributed Control for n n Hyperbolic Systems with an Infinite Number of Variables Advaces Pure Mahemacs 3 3 598-68 hp://dxdoorg/436/apm33677 Pubshed Oe Sepember 3 (hp://wwwscrporg/joura/apm) Opmay of Dsrbued Coro for Hyperboc Sysems wh a Ife Number of Varabes Aham Hasa amo Deparme of

More information

14. Poisson Processes

14. Poisson Processes 4. Posso Processes I Lecure 4 we roduced Posso arrvals as he lmg behavor of Bomal radom varables. Refer o Posso approxmao of Bomal radom varables. From he dscusso here see 4-6-4-8 Lecure 4 " arrvals occur

More information

Delay-Dependent Robust Asymptotically Stable for Linear Time Variant Systems

Delay-Dependent Robust Asymptotically Stable for Linear Time Variant Systems Delay-Depede Robus Asypocally Sable for Lear e Vara Syses D. Behard, Y. Ordoha, S. Sedagha ABSRAC I hs paper, he proble of delay depede robus asypocally sable for ucera lear e-vara syse wh ulple delays

More information

Solution to Some Open Problems on E-super Vertex Magic Total Labeling of Graphs

Solution to Some Open Problems on E-super Vertex Magic Total Labeling of Graphs Aalable a hp://paed/aa Appl Appl Mah ISS: 9-9466 Vol 0 Isse (Deceber 0) pp 04- Applcaos ad Appled Maheacs: A Ieraoal Joral (AAM) Solo o Soe Ope Probles o E-sper Verex Magc Toal Labelg o Graphs G Marh MS

More information

Continuous Indexed Variable Systems

Continuous Indexed Variable Systems Ieraoal Joural o Compuaoal cece ad Mahemacs. IN 0974-389 Volume 3, Number 4 (20), pp. 40-409 Ieraoal Research Publcao House hp://www.rphouse.com Couous Idexed Varable ysems. Pouhassa ad F. Mohammad ghjeh

More information

8. Queueing systems lect08.ppt S Introduction to Teletraffic Theory - Fall

8. Queueing systems lect08.ppt S Introduction to Teletraffic Theory - Fall 8. Queueg sysems lec8. S-38.45 - Iroduco o Teleraffc Theory - Fall 8. Queueg sysems Coes Refresher: Smle eleraffc model M/M/ server wag laces M/M/ servers wag laces 8. Queueg sysems Smle eleraffc model

More information

Stabilization of LTI Switched Systems with Input Time Delay. Engineering Letters, 14:2, EL_14_2_14 (Advance online publication: 16 May 2007) Lin Lin

Stabilization of LTI Switched Systems with Input Time Delay. Engineering Letters, 14:2, EL_14_2_14 (Advance online publication: 16 May 2007) Lin Lin Egeerg Leers, 4:2, EL_4_2_4 (Advace ole publcao: 6 May 27) Sablzao of LTI Swched Sysems wh Ipu Tme Delay L L Absrac Ths paper deals wh sablzao of LTI swched sysems wh pu me delay. A descrpo of sysems sablzao

More information

Sherzod M. Mirakhmedov,

Sherzod M. Mirakhmedov, Approxao by ora dsrbuo for a sape su sapg whou repacee fro a fe popuao Ibrah B Mohaed Uversy of Maaya Maaysa ohaed@ueduy Sherzod M Mrahedov Isue of Maheacs Tashe shrahedov@yahooco Absrac A su of observaos

More information

Optimal Control and Hamiltonian System

Optimal Control and Hamiltonian System Pure ad Appled Maheacs Joural 206; 5(3: 77-8 hp://www.scecepublshggroup.co//pa do: 0.648/.pa.2060503.3 ISSN: 2326-9790 (Pr; ISSN: 2326-982 (Ole Opal Corol ad Haloa Syse Esoh Shedrack Massawe Depare of

More information

Distributed Subgradient Algorithm for Multi-Agent Convex Optimization with Global Inequality and Equality Constraints

Distributed Subgradient Algorithm for Multi-Agent Convex Optimization with Global Inequality and Equality Constraints Apped ad Copuaoa Maeacs 6; 5(5): 3-9 p://www.scecepubsggroup.co/j/ac do:.648/j.ac.655.5 ISS: 38-565 (Pr); ISS: 38-563 (Oe) Dsrbued Subgrade Agor for Mu-Age Cove Opzao w Goba Iequay ad Equay Cosras L ao,

More information

The Poisson Process Properties of the Poisson Process

The Poisson Process Properties of the Poisson Process Posso Processes Summary The Posso Process Properes of he Posso Process Ierarrval mes Memoryless propery ad he resdual lfeme paradox Superposo of Posso processes Radom seleco of Posso Pos Bulk Arrvals ad

More information

Key words: Fractional difference equation, oscillatory solutions,

Key words: Fractional difference equation, oscillatory solutions, OSCILLATION PROPERTIES OF SOLUTIONS OF FRACTIONAL DIFFERENCE EQUATIONS Musafa BAYRAM * ad Ayd SECER * Deparme of Compuer Egeerg, Isabul Gelsm Uversy Deparme of Mahemacal Egeerg, Yldz Techcal Uversy * Correspodg

More information

ClassificationofNonOscillatorySolutionsofNonlinearNeutralDelayImpulsiveDifferentialEquations

ClassificationofNonOscillatorySolutionsofNonlinearNeutralDelayImpulsiveDifferentialEquations Global Joural of Scece Froer Research: F Maheacs ad Decso Sceces Volue 8 Issue Verso. Year 8 Type: Double Bld Peer Revewed Ieraoal Research Joural Publsher: Global Jourals Ole ISSN: 49-466 & Pr ISSN: 975-5896

More information

Midterm Exam. Tuesday, September hour, 15 minutes

Midterm Exam. Tuesday, September hour, 15 minutes Ecoomcs of Growh, ECON560 Sa Fracsco Sae Uvers Mchael Bar Fall 203 Mderm Exam Tuesda, Sepember 24 hour, 5 mues Name: Isrucos. Ths s closed boo, closed oes exam. 2. No calculaors of a d are allowed. 3.

More information

A Remark on Generalized Free Subgroups. of Generalized HNN Groups

A Remark on Generalized Free Subgroups. of Generalized HNN Groups Ieraoal Mahemacal Forum 5 200 o 503-509 A Remar o Geeralzed Free Subroup o Geeralzed HNN Group R M S Mahmood Al Ho Uvery Abu Dhab POBo 526 UAE raheedmm@yahoocom Abrac A roup ermed eeralzed ree roup a ree

More information

The MacWilliams Identity of the Linear Codes over the Ring F p +uf p +vf p +uvf p

The MacWilliams Identity of the Linear Codes over the Ring F p +uf p +vf p +uvf p Reearch Joural of Aled Scece Eeer ad Techoloy (6): 28-282 22 ISSN: 2-6 Maxwell Scefc Orazao 22 Submed: March 26 22 Acceed: Arl 22 Publhed: Auu 5 22 The MacWllam Idey of he Lear ode over he R F +uf +vf

More information

The Signal, Variable System, and Transformation: A Personal Perspective

The Signal, Variable System, and Transformation: A Personal Perspective The Sgal Varable Syem ad Traformao: A Peroal Perpecve Sherv Erfa 35 Eex Hall Faculy of Egeerg Oule Of he Talk Iroduco Mahemacal Repreeao of yem Operaor Calculu Traformao Obervao O Laplace Traform SSB A

More information

Multi-Period Portfolio Selection with No-Shorting Constraints: Duality Analysis

Multi-Period Portfolio Selection with No-Shorting Constraints: Duality Analysis Joura of Maheaca Face 7 7 75-768 hp://wwwscrporg/oura/f ISSN Oe: 6-44 ISSN Pr: 6-434 Mu-Perod Porfoo Seeco wh No-Shorg Cosras: Duay Aayss Ju Q La Y Maagee Schoo Ja Uversy Guagzhou Cha How o ce hs paper:

More information

QR factorization. Let P 1, P 2, P n-1, be matrices such that Pn 1Pn 2... PPA

QR factorization. Let P 1, P 2, P n-1, be matrices such that Pn 1Pn 2... PPA QR facorzao Ay x real marx ca be wre as AQR, where Q s orhogoal ad R s upper ragular. To oba Q ad R, we use he Householder rasformao as follows: Le P, P, P -, be marces such ha P P... PPA ( R s upper ragular.

More information

CHARACTERIZATIONS OF THE NON-UNIFORM IN TIME ISS PROPERTY AND APPLICATIONS

CHARACTERIZATIONS OF THE NON-UNIFORM IN TIME ISS PROPERTY AND APPLICATIONS CHARACTERIZATIONS OF THE NON-UNIFORM IN TIME ISS PROPERTY AND APPLICATIONS I. Karafyllis ad J. Tsiias Depare of Maheaics, Naioal Techical Uiversiy of Ahes, Zografou Capus 578, Ahes, Greece Eail: jsi@ceral.ua.gr.

More information

Analysis of a Stochastic Lotka-Volterra Competitive System with Distributed Delays

Analysis of a Stochastic Lotka-Volterra Competitive System with Distributed Delays Ieraoal Coferece o Appled Maheac Sulao ad Modellg (AMSM 6) Aaly of a Sochac Loa-Volerra Copeve Sye wh Drbued Delay Xagu Da ad Xaou L School of Maheacal Scece of Togre Uvery Togre 5543 PR Cha Correpodg

More information

National Conference on Recent Trends in Synthesis and Characterization of Futuristic Material in Science for the Development of Society

National Conference on Recent Trends in Synthesis and Characterization of Futuristic Material in Science for the Development of Society ABSTRACT Naoa Coferece o Rece Tred Syhe ad Characerzao of Fuurc Maera Scece for he Deveome of Socey (NCRDAMDS-208) I aocao wh Ieraoa Joura of Scefc Reearch Scece ad Techoogy Some New Iegra Reao of I- Fuco

More information

Upper Bound For Matrix Operators On Some Sequence Spaces

Upper Bound For Matrix Operators On Some Sequence Spaces Suama Uer Bou formar Oeraors Uer Bou For Mar Oeraors O Some Sequece Saces Suama Dearme of Mahemacs Gaah Maa Uersy Yogyaara 558 INDONESIA Emal: suama@ugmac masomo@yahoocom Isar D alam aer aa susa masalah

More information

Analog of the Method of Boundary Layer Function for the Solution of the Lighthill s Model Equation with the Regular Singular Point

Analog of the Method of Boundary Layer Function for the Solution of the Lighthill s Model Equation with the Regular Singular Point Aerca Joura of Maheacs a Sascs 3, 3(): 53-6 DOI: 593/as338 Aaog of he Meho of Bouary Layer Fuco for he Souo of he Lghh s Moe Equao wh he Reguar Sguar Po Kebay Ayuov Depare of Agebra a Geoery, Osh Sae Uversy,

More information

(1) Cov(, ) E[( E( ))( E( ))]

(1) Cov(, ) E[( E( ))( E( ))] Impac of Auocorrelao o OLS Esmaes ECON 3033/Evas Cosder a smple bvarae me-seres model of he form: y 0 x The four key assumpos abou ε hs model are ) E(ε ) = E[ε x ]=0 ) Var(ε ) =Var(ε x ) = ) Cov(ε, ε )

More information

FORCED VIBRATION of MDOF SYSTEMS

FORCED VIBRATION of MDOF SYSTEMS FORCED VIBRAION of DOF SSES he respose of a N DOF sysem s govered by he marx equao of moo: ] u C] u K] u 1 h al codos u u0 ad u u 0. hs marx equao of moo represes a sysem of N smulaeous equaos u ad s me

More information

Delay-dependent robust stabilization of uncertain neutral systems with saturating actuators

Delay-dependent robust stabilization of uncertain neutral systems with saturating actuators Delay-depede robus sablzao of ucera eural syses wh saura acuaors Aar Haura a * Haah H Mchalska b Beo Boule c * Correpod auhor Phoe +54-98-8 Fax +54-98-748 Eal aar@ccllca abc McGll Cere for Ielle Maches

More information

Novel Bounds for Solutions of Nonlinear Differential Equations

Novel Bounds for Solutions of Nonlinear Differential Equations Appe Mahemacs, 5, 6, 8-94 Pubshe Oe Jauary 5 ScRes. hp://www.scrp.org/joura/am hp://.o.org/.436/am.5.68 Nove Bous for Souos of Noear Dfferea Equaos A. A. Maryyu S.P. Tmosheo Isue of Mechacs of NAS of Urae,

More information

Some Probability Inequalities for Quadratic Forms of Negatively Dependent Subgaussian Random Variables

Some Probability Inequalities for Quadratic Forms of Negatively Dependent Subgaussian Random Variables Joural of Sceces Islamc epublc of Ira 6(: 63-67 (005 Uvers of ehra ISSN 06-04 hp://scecesuacr Some Probabl Iequales for Quadrac Forms of Negavel Depede Subgaussa adom Varables M Am A ozorga ad H Zare 3

More information

Asymptotic Regional Boundary Observer in Distributed Parameter Systems via Sensors Structures

Asymptotic Regional Boundary Observer in Distributed Parameter Systems via Sensors Structures Sesors,, 37-5 sesors ISSN 44-8 by MDPI hp://www.mdp.e/sesors Asympoc Regoal Boudary Observer Dsrbued Parameer Sysems va Sesors Srucures Raheam Al-Saphory Sysems Theory Laboraory, Uversy of Perpga, 5, aveue

More information

Continuous Time Markov Chains

Continuous Time Markov Chains Couous me Markov chas have seay sae probably soluos f a oly f hey are ergoc, us lke scree me Markov chas. Fg he seay sae probably vecor for a couous me Markov cha s o more ffcul ha s he scree me case,

More information

A note on Turán number Tk ( 1, kn, )

A note on Turán number Tk ( 1, kn, ) A oe o Turá umber T (,, ) L A-Pg Beg 00085, P.R. Cha apl000@sa.com Absrac: Turá umber s oe of prmary opcs he combaorcs of fe ses, hs paper, we wll prese a ew upper boud for Turá umber T (,, ). . Iroduco

More information

A L A BA M A L A W R E V IE W

A L A BA M A L A W R E V IE W A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N

More information

International Journal of Scientific & Engineering Research, Volume 3, Issue 10, October ISSN

International Journal of Scientific & Engineering Research, Volume 3, Issue 10, October ISSN Ieraoal Joural of cefc & Egeerg Research, Volue, Issue 0, Ocober-0 The eady-ae oluo Of eral hael Wh Feedback Ad Reegg oeced Wh o-eral Queug Processes Wh Reegg Ad Balkg ayabr gh* ad Dr a gh** *Assoc Prof

More information

EXISTENCE THEORY OF RANDOM DIFFERENTIAL EQUATIONS D. S. Palimkar

EXISTENCE THEORY OF RANDOM DIFFERENTIAL EQUATIONS D. S. Palimkar Ieraioal Joural of Scieific ad Research Publicaios, Volue 2, Issue 7, July 22 ISSN 225-353 EXISTENCE THEORY OF RANDOM DIFFERENTIAL EQUATIONS D S Palikar Depare of Maheaics, Vasarao Naik College, Naded

More information

Algorithmic verification of feasibility for generalized median voter schemes on compact ranges Korgin N.*

Algorithmic verification of feasibility for generalized median voter schemes on compact ranges Korgin N.* Preprs of he 8h IFAC orld Cogress Mlao (Ialy) Augus 8 - Sepeber 0 Algorhc verfcao of feasbly for geeralzed eda voer schees o copac rages Korg N* *Isue of Corol Sceces of Russa Acadey of Sceces Mosco Russa

More information

Complementary Tree Paired Domination in Graphs

Complementary Tree Paired Domination in Graphs IOSR Joural of Mahemacs (IOSR-JM) e-issn: 2278-5728, p-issn: 239-765X Volume 2, Issue 6 Ver II (Nov - Dec206), PP 26-3 wwwosrjouralsorg Complemeary Tree Pared Domao Graphs A Meeaksh, J Baskar Babujee 2

More information

ELEC 6041 LECTURE NOTES WEEK 3 Dr. Amir G. Aghdam Concordia University

ELEC 6041 LECTURE NOTES WEEK 3 Dr. Amir G. Aghdam Concordia University ecre Noe Prepared b r G. ghda EE 64 ETUE NTE WEE r. r G. ghda ocorda Uer eceraled orol e - Whe corol heor appled o a e ha co of geographcall eparaed copoe or a e cog of a large ber of p-op ao ofe dered

More information

Reliability Equivalence of a Parallel System with Non-Identical Components

Reliability Equivalence of a Parallel System with Non-Identical Components Ieraoa Mahemaca Forum 3 8 o. 34 693-7 Reaby Equvaece of a Parae Syem wh No-Ideca ompoe M. Moaer ad mmar M. Sarha Deparme of Sac & O.R. oege of Scece Kg Saud Uvery P.O.ox 455 Ryadh 45 Saud raba aarha@yahoo.com

More information

ONE APPROACH FOR THE OPTIMIZATION OF ESTIMATES CALCULATING ALGORITHMS A.A. Dokukin

ONE APPROACH FOR THE OPTIMIZATION OF ESTIMATES CALCULATING ALGORITHMS A.A. Dokukin Iero Jor "Iforo Theore & co" Vo 463 ONE PPROH FOR THE OPTIIZTION OF ETITE UTING GORITH Do rc: I h rce he ew roch for ozo of eo ccg gorh ggeed I c e ed for fdg he correc gorh of coexy he coex of gerc roch

More information

Determination of Antoine Equation Parameters. December 4, 2012 PreFEED Corporation Yoshio Kumagae. Introduction

Determination of Antoine Equation Parameters. December 4, 2012 PreFEED Corporation Yoshio Kumagae. Introduction refeed Soluos for R&D o Desg Deermao of oe Equao arameers Soluos for R&D o Desg December 4, 0 refeed orporao Yosho Kumagae refeed Iroduco hyscal propery daa s exremely mpora for performg process desg ad

More information

AML710 CAD LECTURE 12 CUBIC SPLINE CURVES. Cubic Splines Matrix formulation Normalised cubic splines Alternate end conditions Parabolic blending

AML710 CAD LECTURE 12 CUBIC SPLINE CURVES. Cubic Splines Matrix formulation Normalised cubic splines Alternate end conditions Parabolic blending CUIC SLINE CURVES Cubc Sples Marx formulao Normalsed cubc sples Alerae ed codos arabolc bledg AML7 CAD LECTURE CUIC SLINE The ame sple comes from he physcal srume sple drafsme use o produce curves A geeral

More information

Solution. The straightforward approach is surprisingly difficult because one has to be careful about the limits.

Solution. The straightforward approach is surprisingly difficult because one has to be careful about the limits. ose ad Varably Homewor # (8), aswers Q: Power spera of some smple oses A Posso ose A Posso ose () s a sequee of dela-fuo pulses, eah ourrg depedely, a some rae r (More formally, s a sum of pulses of wdh

More information

Some probability inequalities for multivariate gamma and normal distributions. Abstract

Some probability inequalities for multivariate gamma and normal distributions. Abstract -- Soe probably equales for ulvarae gaa ad oral dsrbuos Thoas oye Uversy of appled sceces Bge, Berlsrasse 9, D-554 Bge, Geray, e-al: hoas.roye@-ole.de Absrac The Gaussa correlao equaly for ulvarae zero-ea

More information

Existence of Nonoscillatory Solutions for a Class of N-order Neutral Differential Systems

Existence of Nonoscillatory Solutions for a Class of N-order Neutral Differential Systems Vo 3 No Mod Appd Scc Exsc of Nooscaoy Souos fo a Cass of N-od Nua Dffa Sysms Zhb Ch & Apg Zhag Dpam of Ifomao Egg Hua Uvsy of Tchoogy Hua 4 Cha E-ma: chzhbb@63com Th sach s facd by Hua Povc aua sccs fud

More information

Brownian Motion and Stochastic Calculus. Brownian Motion and Stochastic Calculus

Brownian Motion and Stochastic Calculus. Brownian Motion and Stochastic Calculus Browa Moo Sochasc Calculus Xogzh Che Uversy of Hawa a Maoa earme of Mahemacs Seember, 8 Absrac Ths oe s abou oob decomoso he bascs of Suare egrable margales Coes oob-meyer ecomoso Suare Iegrable Margales

More information

A Second Kind Chebyshev Polynomial Approach for the Wave Equation Subject to an Integral Conservation Condition

A Second Kind Chebyshev Polynomial Approach for the Wave Equation Subject to an Integral Conservation Condition SSN 76-7659 Eglad K Joural of forao ad Copug Scece Vol 7 No 3 pp 63-7 A Secod Kd Chebyshev olyoal Approach for he Wave Equao Subec o a egral Coservao Codo Soayeh Nea ad Yadollah rdokha Depare of aheacs

More information

Available online Journal of Scientific and Engineering Research, 2014, 1(1): Research Article

Available online  Journal of Scientific and Engineering Research, 2014, 1(1): Research Article Avalable ole wwwjsaercom Joural o Scec ad Egeerg Research, 0, ():0-9 Research Arcle ISSN: 39-630 CODEN(USA): JSERBR NEW INFORMATION INEUALITIES ON DIFFERENCE OF GENERALIZED DIVERGENCES AND ITS APPLICATION

More information

Abstract. 1. Introduction

Abstract. 1. Introduction Joura of Mathematca Sceces: Advaces ad Appcatos Voume 4 umber 2 2 Pages 33-34 COVERGECE OF HE PROJECO YPE SHKAWA ERAO PROCESS WH ERRORS FOR A FE FAMY OF OSEF -ASYMPOCAY QUAS-OEXPASVE MAPPGS HUA QU ad S-SHEG

More information

A Parametric Kernel Function Yielding the Best Known Iteration Bound of Interior-Point Methods for Semidefinite Optimization

A Parametric Kernel Function Yielding the Best Known Iteration Bound of Interior-Point Methods for Semidefinite Optimization Aerca Joural of Appled Maheacs 6; 4(6): 36-33 hp://wwwscecepublshggroupco/j/aja do: 648/jaja6468 ISSN: 33-43 (Pr); ISSN: 33-6X (Ole) A Paraerc Kerel Fuco Yeldg he Bes Kow Ierao Boud of Ieror-Po Mehods

More information

Cyclone. Anti-cyclone

Cyclone. Anti-cyclone Adveco Cycloe A-cycloe Lorez (963) Low dmesoal aracors. Uclear f hey are a good aalogy o he rue clmae sysem, bu hey have some appealg characerscs. Dscusso Is he al codo balaced? Is here a al adjusme

More information

Quantum Mechanics II Lecture 11 Time-dependent perturbation theory. Time-dependent perturbation theory (degenerate or non-degenerate starting state)

Quantum Mechanics II Lecture 11 Time-dependent perturbation theory. Time-dependent perturbation theory (degenerate or non-degenerate starting state) Pro. O. B. Wrgh, Auum Quaum Mechacs II Lecure Tme-depede perurbao heory Tme-depede perurbao heory (degeerae or o-degeerae sarg sae) Cosder a sgle parcle whch, s uperurbed codo wh Hamloa H, ca exs a superposo

More information

The textbook expresses the stock price as the present discounted value of the dividend paid and the price of the stock next period.

The textbook expresses the stock price as the present discounted value of the dividend paid and the price of the stock next period. ublc Affars 974 Meze D. Ch Fall Socal Sceces 748 Uversy of Wscos-Madso Sock rces, News ad he Effce Markes Hypohess (rev d //) The rese Value Model Approach o Asse rcg The exbook expresses he sock prce

More information

Exact Solutions of Axially Symmetric Bianchi Type-I Cosmological Model in Lyra Geometry

Exact Solutions of Axially Symmetric Bianchi Type-I Cosmological Model in Lyra Geometry IOSR Joura of ed Physcs (IOSR-JP) e-issn: 78-86. Voume 5, Issue 6 (Ja. ), PP -5 ac Souos of ay Symmerc ach Tye-I Cosmooca Mode Lyra Geomery. sar, M. sar earme of Mahemacs, Norh-aser H Uversy, Permae Camus,

More information

Available online at ScienceDirect. Procedia CIRP 63 (2017 ) The 50th CIRP Conference on Manufacturing Systems

Available online at   ScienceDirect. Procedia CIRP 63 (2017 ) The 50th CIRP Conference on Manufacturing Systems Avaabe oe a www.scecedrec.com SceceDrec Proceda CIRP 63 (27 ) 242 247 The 5h CIRP Coferece o aufacur Sysems Reaby easureme for usae aufacur Sysems wh Faure Ieraco Lyu Xu a, *, Yahao Che a, Fore Brad a,

More information

Bianchi Type II Stiff Fluid Tilted Cosmological Model in General Relativity

Bianchi Type II Stiff Fluid Tilted Cosmological Model in General Relativity Ieraoal Joural of Mahemacs esearch. IN 0976-50 Volume 6, Number (0), pp. 6-7 Ieraoal esearch Publcao House hp://www.rphouse.com Bach ype II ff Flud led Cosmologcal Model Geeral elay B. L. Meea Deparme

More information

The Linear Regression Of Weighted Segments

The Linear Regression Of Weighted Segments The Lear Regresso Of Weghed Segmes George Dael Maeescu Absrac. We proposed a regresso model where he depede varable s made o up of pos bu segmes. Ths suao correspods o he markes hroughou he da are observed

More information

Strong Convergence Rates of Wavelet Estimators in Semiparametric Regression Models with Censored Data*

Strong Convergence Rates of Wavelet Estimators in Semiparametric Regression Models with Censored Data* 8 The Ope ppled Maheacs Joural 008 8-3 Srog Covergece Raes of Wavele Esaors Separaerc Regresso Models wh Cesored Daa Hogchag Hu School of Maheacs ad Sascs Hube Noral Uversy Huagsh 43500 Cha bsrac: The

More information

Reliability and Sensitivity Analysis of a System with Warm Standbys and a Repairable Service Station

Reliability and Sensitivity Analysis of a System with Warm Standbys and a Repairable Service Station Ieraoa Joura of Operaos Research Vo. 1, No. 1, 61 7 (4) Reaby ad Sesvy Aayss of a Sysem wh Warm Sadbys ad a Reparabe Servce Sao Kuo-Hsug Wag, u-ju a, ad Jyh-B Ke Deparme of Apped Mahemacs, Naoa Chug-Hsg

More information

Explicit Representation of Green s Function for Linear Fractional. Differential Operator with Variable Coefficients

Explicit Representation of Green s Function for Linear Fractional. Differential Operator with Variable Coefficients KSU-MH--E-R-: Verso 3 Epc Represeo of Gree s uco for er rco ffere Operor w Vrbe Coeffces Mog-H K d Hog-Co O cu of Mecs K Sug Uvers Pogg P R Kore Correspodg uor e-: oogco@ooco bsrc We provde epc represeos

More information

Chapter 5. Long Waves

Chapter 5. Long Waves ape 5. Lo Waes Wae e s o compaed ae dep: < < L π Fom ea ae eo o s s ; amos ozoa moo z p s ; dosac pesse Dep-aeaed coseao o mass

More information

The ray paths and travel times for multiple layers can be computed using ray-tracing, as demonstrated in Lab 3.

The ray paths and travel times for multiple layers can be computed using ray-tracing, as demonstrated in Lab 3. C. Trael me cures for mulple reflecors The ray pahs ad rael mes for mulple layers ca be compued usg ray-racg, as demosraed Lab. MATLAB scrp reflec_layers_.m performs smple ray racg. (m) ref(ms) ref(ms)

More information

Real-Time Systems. Example: scheduling using EDF. Feasibility analysis for EDF. Example: scheduling using EDF

Real-Time Systems. Example: scheduling using EDF. Feasibility analysis for EDF. Example: scheduling using EDF EDA/DIT6 Real-Tme Sysems, Chalmers/GU, 0/0 ecure # Updaed February, 0 Real-Tme Sysems Specfcao Problem: Assume a sysem wh asks accordg o he fgure below The mg properes of he asks are gve he able Ivesgae

More information

General Complex Fuzzy Transformation Semigroups in Automata

General Complex Fuzzy Transformation Semigroups in Automata Joural of Advaces Compuer Research Quarerly pissn: 345-606x eissn: 345-6078 Sar Brach Islamc Azad Uversy Sar IRIra Vol 7 No May 06 Pages: 7-37 wwwacrausaracr Geeral Complex uzzy Trasformao Semgroups Auomaa

More information

THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A, OF THE ROMANIAN ACADEMY Volume 10, Number 2/2009, pp

THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A, OF THE ROMANIAN ACADEMY Volume 10, Number 2/2009, pp THE PUBLIHING HOUE PROCEEDING OF THE ROMANIAN ACADEMY, eres A, OF THE ROMANIAN ACADEMY Volume 0, Number /009,. 000-000 ON ZALMAI EMIPARAMETRIC DUALITY MODEL FOR MULTIOBJECTIVE FRACTIONAL PROGRAMMING WITH

More information

AC 2-3 AC 1-1 AC 1-2 CO2 AC 1-3 T CO2 CO2 F ES S I O N RY WO M No.

AC 2-3 AC 1-1 AC 1-2 CO2 AC 1-3 T CO2 CO2 F ES S I O N RY WO M No. SHEE OES. OVE PCE HOSS SSOCE PPUCES. VE EW CORO WR. S SE EEVO S EXS. 2. EW SSORS CCOS. S SE EEVO S HOSS. C 2-3 C - C -2 C 2- C -3 C 4- C 2-2 P SUB pproved Filename: :\\2669 RP Performing rts Center HVC\6-C\s\2669-3.dwg

More information

CONTROLLABILITY OF A CLASS OF SINGULAR SYSTEMS

CONTROLLABILITY OF A CLASS OF SINGULAR SYSTEMS 44 Asa Joural o Corol Vol 8 No 4 pp 44-43 December 6 -re Paper- CONTROLLAILITY OF A CLASS OF SINGULAR SYSTEMS Guagmg Xe ad Log Wag ASTRACT I hs paper several dere coceps o corollably are vesgaed or a class

More information

Parameters Estimation in a General Failure Rate Semi-Markov Reliability Model

Parameters Estimation in a General Failure Rate Semi-Markov Reliability Model Joura of Saca Theory ad Appcao Vo. No. (Sepember ) - Parameer Emao a Geera Faure Rae Sem-Marov Reaby Mode M. Fahzadeh ad K. Khorhda Deparme of Sac Facuy of Mahemaca Scece Va-e-Ar Uvery of Rafaja Rafaja

More information

The textbook expresses the stock price as the present discounted value of the dividend paid and the price of the stock next period.

The textbook expresses the stock price as the present discounted value of the dividend paid and the price of the stock next period. coomcs 435 Meze. Ch Fall 07 Socal Sceces 748 Uversy of Wscos-Madso Sock rces, News ad he ffce Markes Hypohess The rese Value Model Approach o Asse rcg The exbook expresses he sock prce as he prese dscoued

More information

Fully Fuzzy Linear Systems Solving Using MOLP

Fully Fuzzy Linear Systems Solving Using MOLP World Appled Sceces Joural 12 (12): 2268-2273, 2011 ISSN 1818-4952 IDOSI Publcaos, 2011 Fully Fuzzy Lear Sysems Solvg Usg MOLP Tofgh Allahvraloo ad Nasser Mkaelvad Deparme of Mahemacs, Islamc Azad Uversy,

More information

Efficient Estimators for Population Variance using Auxiliary Information

Efficient Estimators for Population Variance using Auxiliary Information Global Joural of Mahemacal cece: Theor ad Praccal. IN 97-3 Volume 3, Number (), pp. 39-37 Ieraoal Reearch Publcao Houe hp://www.rphoue.com Effce Emaor for Populao Varace ug Aular Iformao ubhah Kumar Yadav

More information

Domination in Controlled and Observed Distributed Parameter Systems

Domination in Controlled and Observed Distributed Parameter Systems Iellge Cool ad Auoao 3 4 7-6 h://dxdoorg/436/ca346 Publshed Ole May 3 (h://wwwscrorg/joural/ca) Doao Coolled ad Observed Dsbued Paraeer yses L Aff M Joud E M Magr A El Ja Deare of Maheacs ad Couer cece

More information

1 Notes on Little s Law (l = λw)

1 Notes on Little s Law (l = λw) Copyrigh c 26 by Karl Sigma Noes o Lile s Law (l λw) We cosider here a famous ad very useful law i queueig heory called Lile s Law, also kow as l λw, which assers ha he ime average umber of cusomers i

More information

4. THE DENSITY MATRIX

4. THE DENSITY MATRIX 4. THE DENSTY MATRX The desy marx or desy operaor s a alerae represeao of he sae of a quaum sysem for whch we have prevously used he wavefuco. Alhough descrbg a quaum sysem wh he desy marx s equvale o

More information

Mixed Integral Equation of Contact Problem in Position and Time

Mixed Integral Equation of Contact Problem in Position and Time Ieraoal Joural of Basc & Appled Sceces IJBAS-IJENS Vol: No: 3 ed Iegral Equao of Coac Problem Poso ad me. A. Abdou S. J. oaquel Deparme of ahemacs Faculy of Educao Aleadra Uversy Egyp Deparme of ahemacs

More information

FALL HOMEWORK NO. 6 - SOLUTION Problem 1.: Use the Storage-Indication Method to route the Input hydrograph tabulated below.

FALL HOMEWORK NO. 6 - SOLUTION Problem 1.: Use the Storage-Indication Method to route the Input hydrograph tabulated below. Jorge A. Ramírez HOMEWORK NO. 6 - SOLUTION Problem 1.: Use he Sorage-Idcao Mehod o roue he Ipu hydrograph abulaed below. Tme (h) Ipu Hydrograph (m 3 /s) Tme (h) Ipu Hydrograph (m 3 /s) 0 0 90 450 6 50

More information

Interval Estimation. Consider a random variable X with a mean of X. Let X be distributed as X X

Interval Estimation. Consider a random variable X with a mean of X. Let X be distributed as X X ECON 37: Ecoomercs Hypohess Tesg Iervl Esmo Wh we hve doe so fr s o udersd how we c ob esmors of ecoomcs reloshp we wsh o sudy. The queso s how comforble re we wh our esmors? We frs exme how o produce

More information

VARIATIONAL ITERATION METHOD FOR DELAY DIFFERENTIAL-ALGEBRAIC EQUATIONS. Hunan , China,

VARIATIONAL ITERATION METHOD FOR DELAY DIFFERENTIAL-ALGEBRAIC EQUATIONS. Hunan , China, Mahemacal ad Compuaoal Applcaos Vol. 5 No. 5 pp. 834-839. Assocao for Scefc Research VARIATIONAL ITERATION METHOD FOR DELAY DIFFERENTIAL-ALGEBRAIC EQUATIONS Hoglag Lu Aguo Xao Yogxag Zhao School of Mahemacs

More information

Orbital Euclidean stability of the solutions of impulsive equations on the impulsive moments

Orbital Euclidean stability of the solutions of impulsive equations on the impulsive moments Pure ad Appled Mahemacs Joural 25 4(: -8 Publshed ole Jauary 23 25 (hp://wwwscecepublshggroupcom/j/pamj do: 648/jpamj254 ISSN: 2326-979 (Pr ISSN: 2326-982 (Ole Orbal ucldea sably of he soluos of mpulsve

More information

-HYBRID LAPLACE TRANSFORM AND APPLICATIONS TO MULTIDIMENSIONAL HYBRID SYSTEMS. PART II: DETERMINING THE ORIGINAL

-HYBRID LAPLACE TRANSFORM AND APPLICATIONS TO MULTIDIMENSIONAL HYBRID SYSTEMS. PART II: DETERMINING THE ORIGINAL UPB Sc B See A Vo 72 I 3 2 ISSN 223-727 MUTIPE -HYBRID APACE TRANSORM AND APPICATIONS TO MUTIDIMENSIONA HYBRID SYSTEMS PART II: DETERMININ THE ORIINA Ve PREPEIŢĂ Te VASIACHE 2 Ace co copeeă oă - pce he

More information

Integral Form of Popoviciu Inequality for Convex Function

Integral Form of Popoviciu Inequality for Convex Function Procees of e Paksa Acaey of Sceces: A. Pyscal a ozaoal Sceces 53 3: 339 348 206 oyr Paksa Acaey of Sceces ISSN: 258-4245 r 258-4253 ole Paksa Acaey of Sceces Researc Arcle Ieral For of Pooc Ieqaly for

More information

Integral Φ0-Stability of Impulsive Differential Equations

Integral Φ0-Stability of Impulsive Differential Equations Ope Joural of Appled Sceces, 5, 5, 65-66 Publsed Ole Ocober 5 ScRes p://wwwscrporg/joural/ojapps p://ddoorg/46/ojapps5564 Iegral Φ-Sably of Impulsve Dffereal Equaos Aju Sood, Sajay K Srvasava Appled Sceces

More information

Internet Appendix to: Idea Sharing and the Performance of Mutual Funds

Internet Appendix to: Idea Sharing and the Performance of Mutual Funds Coes Iere Appedx o: Idea harg ad he Perforace of Muual Fuds Jule Cujea IA. Proof of Lea A....................................... IA. Proof of Lea A.3...................................... IA.3 Proof of

More information

Partial Molar Properties of solutions

Partial Molar Properties of solutions Paral Molar Properes of soluos A soluo s a homogeeous mxure; ha s, a soluo s a oephase sysem wh more ha oe compoe. A homogeeous mxures of wo or more compoes he gas, lqud or sold phase The properes of a

More information

Sensors and Regional Gradient Observability of Hyperbolic Systems

Sensors and Regional Gradient Observability of Hyperbolic Systems Iellge Corol ad Auoao 3 78-89 hp://dxdoorg/436/ca3 Publshed Ole February (hp://wwwscrporg/oural/ca) Sesors ad Regoal Grade Observably of Hyperbolc Syses Sar Behadd Soraya Reab El Hassae Zerr Maheacs Depare

More information

For the plane motion of a rigid body, an additional equation is needed to specify the state of rotation of the body.

For the plane motion of a rigid body, an additional equation is needed to specify the state of rotation of the body. The kecs of rgd bodes reas he relaoshps bewee he exeral forces acg o a body ad he correspodg raslaoal ad roaoal moos of he body. he kecs of he parcle, we foud ha wo force equaos of moo were requred o defe

More information

Instruction Sheet COOL SERIES DUCT COOL LISTED H NK O. PR D C FE - Re ove r fro e c sed rea. I Page 1 Rev A

Instruction Sheet COOL SERIES DUCT COOL LISTED H NK O. PR D C FE - Re ove r fro e c sed rea. I Page 1 Rev A Instruction Sheet COOL SERIES DUCT COOL C UL R US LISTED H NK O you or urc s g t e D C t oroug y e ore s g / as e OL P ea e rea g product PR D C FE RES - Re ove r fro e c sed rea t m a o se e x o duct

More information

Spectral Simulation of Turbulence. and Tracking of Small Particles

Spectral Simulation of Turbulence. and Tracking of Small Particles Specra Siuaio of Turbuece ad Trackig of Sa Parices Hoogeeous Turbuece Saisica ie average properies RMS veociy fucuaios dissipaio rae are idepede of posiio. Hoogeeous urbuece ca be odeed wih radoy sirred

More information

Technical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005.

Technical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005. Techc Appedx fo Iveoy geme fo Assemy Sysem wh Poduc o Compoe eus ecox d Zp geme Scece 2005 Lemm µ µ s c Poof If J d µ > µ he ˆ 0 µ µ µ µ µ µ µ µ Sm gumes essh he esu f µ ˆ > µ > µ > µ o K ˆ If J he so

More information

A Consecutive Quasilinearization Method for the Optimal Boundary Control of Semilinear Parabolic Equations

A Consecutive Quasilinearization Method for the Optimal Boundary Control of Semilinear Parabolic Equations Appled Maheacs 4 5 69-76 Publshed Ole March 4 ScRes hp://wwwscrporg/joural/a hp://dxdoorg/436/a45467 A Cosecuve Quaslearzao Mehod for he Opal Boudar Corol of Selear Parabolc Equaos Mohaad Dehgha aer *

More information

Solving fuzzy linear programming problems with piecewise linear membership functions by the determination of a crisp maximizing decision

Solving fuzzy linear programming problems with piecewise linear membership functions by the determination of a crisp maximizing decision Frs Jo Cogress o Fuzzy ad Iellge Sysems Ferdows Uversy of Mashhad Ira 9-3 Aug 7 Iellge Sysems Scefc Socey of Ira Solvg fuzzy lear programmg problems wh pecewse lear membershp fucos by he deermao of a crsp

More information

Laplace Transform. Definition of Laplace Transform: f(t) that satisfies The Laplace transform of f(t) is defined as.

Laplace Transform. Definition of Laplace Transform: f(t) that satisfies The Laplace transform of f(t) is defined as. Lplce Trfor The Lplce Trfor oe of he hecl ool for olvg ordry ler dfferel equo. - The hoogeeou equo d he prculr Iegrl re olved oe opero. - The Lplce rfor cover he ODE o lgerc eq. σ j ple do. I he pole o

More information