On-line Parameter Estimation in Sliding-mode Control of Pioneer 3-DX Wheeled Mobile Robot

Size: px
Start display at page:

Download "On-line Parameter Estimation in Sliding-mode Control of Pioneer 3-DX Wheeled Mobile Robot"

Transcription

1 roceedngs of the 7th WSES Internatonal Conference on Systems Theory and Scentfc Computaton, thens, Greece, ugust -, 7 7 On-lne arameter Estmaton n Sldng-mode Control of oneer 3-DX Wheeled Moble Robot. FILIESCU, L. STNCU, S.FILIESCU, G.STMTESCU Department of utomaton and Industral Informatcs Unversty Dunarea de Jos of Galat Domneasca, 7, Galat, 88 Faculty of utomaton and Computers olytechnc Unversty of Bucharest Splaul Independente, 33, Bucharest, ROMNI dran.flpescu@ugal.ro bstract: - arameter dentfcaton scheme and dscrete-tme adaptve sldng-mode controller appled to oneer 3-DX wheeled moble robot (WMR are presented n ths paper. The dynamcal model for moble robot wth one par of actve wheels, tme varyng mass and moment of nerta have been used n sldngmode control. Two sldng-mode controllers correspondng to angular and poston moton have been desgned. Two closed-loop, on-lne parameter estmators have been used n order to acheve robustness aganst parameter uncertantes (robot mass and moment of nerta. Closed-loop crcular trajectory trackng oneer 3- DX control results are presented. Key-Words: - Dscrete-tme oneer 3-DX model, sldng-mode control, on-lne parameter estmaton. Introducton Dfferent approaches have been proposed n the lterature for output trackng of one par of actve wheels moble robots (WMR, [ and [3. The control problem of non-holoc systems when there are model uncertantes has been wdely addressed. Relatvely few results have been presented about the robustness of WMR control concernng model uncertantes and eternal dsturbances. The structural (parameter and/or unstructural uncertantes n the model of the MIMO non-lnear systems and the dffcultes n parameter dentfcaton make necessary the desgn of the controller such that the closed loop robustness s acheved. It s well known that the robustness to structural, un-structural uncertantes and eternal dsturbances of the WMR closed loop can be acheved wth a varable structure controller, [, [ and [. Mantanng the system on a sldng surface weakens the nfluence of the uncertantes n the closed loop and quckly leads to an equlbrum pont. The man advantage of the dscrete-tme sldng mode control s wth the drect and easy realtme mplementaton. Snce the sldng mode control s orgnal from contnuous tme, t s more dffcult to choose a synthess n dscrete-tme. The dscretetme sldng mode control, [, s qute dfferent of performng the control desgn n the contnuous-tme doman. Dscrete-tme sldng-mode controller desgn s usually based on an appromate sldngmode system evoluton due to the non unque attractveness condton and appromate evoluton on sldng surface, [, [. The robust trajectory trackng problem has been addressed n [3 usng a contnuous tme sldng-mode control. The performng control desgn, usng the knematcal model of the vehcle does not eplctly take nto account parameters varaton (robot mass and moment of nerta and eternal dsturbances (frctons and vscous forces, [. The controller desgn usng the WMR dynamcal model, where uncertantes n the robot physcal parameters can be eplctly taken nto account, tends to nterest actual researches on ths feld. In ths paper, the trajectory trackng problem for oneer 3-DX one par of actve wheels type WMR, n the presence of uncertantes (tme-varyng mass and moment of nerta, has been solved by dscrete-tme sldngmode controllers based on the dscrete-tme WMR dynamcal model. Two closed loop, on-lne parameter estmators have been used aganst parameter uncertantes. The paper s organzed as follows. In Secton the dynamcal model of one par of actve wheels oneer 3-DX moble robot s presented. lso, the dscrete-tme state space model, ts uncertantes, non-holoc constrant and the output trackng errors of oneer 3-DX are presented. Secton 3 descrbes on-lne parameter

2 roceedngs of the 7th WSES Internatonal Conference on Systems Theory and Scentfc Computaton, thens, Greece, ugust -, 7 73 estmators correspondng to angular and poston moton. The sldng adaptve controllers, assocated to angular and poston moton, are desgned n Secton and. oneer 3-DX sldng-mode closed loop smulaton results are presented n Secton and conclusons remarks n Secton 7. Contnuous and dscrete-tme oneer 3-DX dynamc model ssumpton: The WMR moton s supposed to be pure rollng, wthout of any slppng. Fgures and show oneer 3-DX wth oneer - DOF manpulator and the schema of a WMR, respectvely. X Y s a moble frame attached to the uncycle and XY defnes an nertal erence system. The vehcle dynamcs s fully descrbed by a three dmensonal vector of generalzed coordnates q ( t consttuted by the coordnates (( ( t, y( t of the mdpont between the two drvng wheels, and by the orentaton angle Φ ( t. The velocty constrant (non-holoc constrant of vehcle moton s & sn Φ y& cos Φ. Defne by τ r and τ l the torques provded by DC motors to the rght and left wheel, respectvely. The vehcle s descrbed by the followng dynamcal model as n τ r + τ l m && my& Φ & + cos Φ r τ r + τ l my && m& Φ & + sn Φ r IΦ && D r ( τ τ r l ( where mkg, I, Dcmm, r9.cmm are the robot mass, moment of nerta, dstance between wheels and wheels radus, respectvely. The real mass of the WMR s supposed to be tme-varyng wth bounded uncertanty wth known nal mass. Due to the tme-varyng mass, the moment of nerta becomes tme-dependng wth bounded uncertanty. ssumpton: Even f the moment of nerta s consdered tme-varyng, the robotc mass s supposed to be unformly dstrbuted all the tme. Let defne two parameters correspondng to the angular and poston moton, such as: ( t D ( I( t r, π ( t ( m( t r. The real values of the parameters are tme-varyng wth upper bounded uncertantes π real real ( t ( t ; ( t π π ( t ; ma π π ma ( Fg.. oneer 3-DX wth -DOF rm Fg.. WMR confguraton varables for angular and poston moton. Let R be the state vector, whose elements are, y, 3 Φ (3 & & Φ&, y, Defne the control nput correspondng to angular, u τ r τ l and poston moton, u τ r + τ l, respectvely. The state space representaton of WMR and the nonholoc constrant wll be dscretzed wth the samplng perod T, replacng the dervatve by a fnte dfference and usng a zero-order-hold for the control nputs k + k + T k ( ( ( ( k + ( k + T ( k T ( k + T + Tπ cos( 3 u ( k + + T + Tπ sn( 3 u ( k + + T u 3 ( sn( 3 cos( 3 ( k (

3 roceedngs of the 7th WSES Internatonal Conference on Systems Theory and Scentfc Computaton, thens, Greece, ugust -, 7 7 k beng the k th tme nterval where the correspondng varable s evaluated ( t kt. Let e R be, the vector of output errors: e where ;, L, tracked., s the trajectory to be 3 ngular and poston moton on-lne parameter estmaton The closed loop structure, shown n fgure, s proposed. For each robot moton, angular and poston, respectvely, an on-lne parameter estmator and a sldng controller have been ntroduced. Due to the tme-varyng of the oneer 3-DX mass, the control nput parameters ( t and π ( t are on-lne updated n order to be used n the correspondng sldng mode control nput. The robustness aganst mass uncertanty wll be assured. The mamum bounds of control nput parameters correspondng to angular and lnear moton wll be used n the attractveness condton of approprate sldng surface. s wll be shown n the net sectons, the attractveness condton of the correspondng sldng surface only on certan nterval s satsfed. Outsde of t, on-lne parameter estmates wll be used to compute the control nput. Moreover, n dscrete-tme, the sldng condton wth some appromaton s satsfed. When the system s nsde of the sldng sector or n the neghborhood of sldng surface, the parameter updatng law can provde convergent estmates. Let S and S be two sldng surfaces correspondng to the control nput for angular and poston moton, respectvely. s parameter updatng law, the recursve least squares method s used. The control nput for angular moton has two terms: the frst one, denoted compensaton part u comp (k, has to compensate the rotatonal dynamcs; the second one, denoted sldng mode u k, corresponds to system evoluton nsde part, ( of sldng surface neghborhood. The whole control nput for angular moton s comp u u u + ( The calculus and the steps for gettng both components of the angular moton control nput are gven n Secton. Epressng the estmated value for angular moton control nput parameter, ˆ ˆ, the net sequence, correspondng to recursve least squares method, [8 and [9, can be used to provde an estmaton of the uncertanty scalar term ( k u ( k L + [ u ( k ( k ( k L u ( k ( k ˆ ˆ ( k ˆ ( k u ( k + ( ( + L u k S k T at the k th step (7 (8 (9 Remark: Snce for each robot moton just one parameter s estmated, the gan L and the covarance are scalars. k, has The control nput for poston moton, u ( only sldng-mode part, u u correspondng parameter, ˆ π π ˆ π. For the, smlar updatng law s used π ( k u ( k L π ( + u k k [ ( π ( π ( k L π uπ ( k π ( k ˆ π ˆ π ( k T ˆ π ( k u ( k + L π ( k + π u ( k + S S ( k where L π, π prevously and wll be defned later. π ( S ( have the same meanng as Remark: For both parameter updatng laws, (9 and (, the epresson n brackets s vald when the system evolutes n the neghborhood of the correspondng sldng surface. ngular moton sldng-mode control nput synthess The followng stable sldng surface has been chosen, n order to desgn the control nput for angular moton S ( k ( k + µ ( k (3 where ( ( ( ( k δ e k k 3 k arctg ( ( ( k δe k wth: µ (, δ, δ. arameter µ T and the poston errors, e, e establsh the dynamcs of sldng surface. The nterval set of δ and δ assures the stablty of poston errors. If

4 roceedngs of the 7th WSES Internatonal Conference on Systems Theory and Scentfc Computaton, thens, Greece, ugust -, 7 7 the non-holoc constrant correspondng to the erence trajectory ( 3 arctg ( s taken nto account, then the angular error e 3 vansh when e, e tend to zero. 3 Remark: The sldng surface defned n (3 has been chosen such as whenever a sldng mode s acheved on t and e, e vansh, the orentaton angle Φ tends to ts erence value. For computng the control nput, the followng attractveness condton, as n [7 and [, has been used: S ( k ( k + < ( k + ( where ( k + S ( k + S (7 n appromate sldng-mode evoluton can be assured on the surface (3. If for the compensaton part of the control nput the epresson ( ( k + δ e k + comp arctg u ( T ( ( ( ( ( k + δe k k + T k µ k + (8 s chosen, then, after replacng (, (3 and ( n (7, one obtans + ( u ( k + T comp u S ( k Wth (9, ( becomes T [ u + T + T [ comp [ u u comp [ u k [ S < [ ( (9 ( Introducng the upper bound of the angular moton parameter uncertanty, the above second degree nequalty can be wrtten n the compact form ma ( u T + ma comp u [ S < If u ma comp > and S T u ( >, then the sldng-mode part of the control nput can be epressed as u ma comp ma < S T u ( ( u <, the nequalty ( s satsfed for When ma comp T u S u > (3 ma 3 Remark: Both epressons of the sldng-mode part, ( and (3, can be wrtten compactly S ma comp ρ u ( k T u ( ma ρ. where ( ma comp When S T u, the attractveness condton ( can not be satsfed. The sldng mode part of the control nput stll can be computed by usng estmates of parameter. The recursve least square method used to compute ˆ, gven by (7, (8 and (9, s convergent only when the system evolves n the neghborhood of sldng surface. Theore, an appromate sldng S k + T. mode condton s satsfed ( [ ˆ comp u + ˆ u ( Ths appromate s used n order to compute the control nput for angular moton comp u ˆ u ( ˆ ( Remark: Usng (, the updatng law (9 can be rewrtten as ˆ k ˆ k + L ( ( [ ˆ ( k u ( ( ( ( k comp + ˆ k u k S k T ( oston moton sldng-mode control nput synthess The followng sldng surface s proposed S ([ + [ [ e ( k + [ δ e ( k δ (7 Startng wth the thrd equaton of model (, usng a trgoetrc equalty and the non-holoc constrant (, the followng equalty holds tg ( T ( k + ( k + + ( k + ( k + (8 Moreover, ntroducng the epressons of the state varables, from state model (, and usng the constrant (, the above equalty becomes

5 roceedngs of the 7th WSES Internatonal Conference on Systems Theory and Scentfc Computaton, thens, Greece, ugust -, 7 7 tg ( + Tπ u ( T [ [ T ( [ + [ Let defne S k cos T ( [ ( ([ + [ [ ( ( k + e k + [ ( k + δ e (9 δ (3 The sldng moton on the surface (7 concerns the reduced order system of the robotc model, wthout of 3 rd and th equaton. The same attractveness condton, as n [, for computng the poston moton control nput has been consdered S ( k + < ( k + (3 ( k + S ( k + S (3 n appromate sldng mode evoluton on the surface (7 can be assured. Consequently of sldng-mode evoluton on (3, the angular state ( T δ e ( k 3 tends to hold the followng epressons 3 ( [ δ e ( k + [ δ e ( k cos ( T3 ( δe ( k [ δe ( k + [ δ e ( k sn (33 (3 Usng (8, the followng epresson can be obtaned [ ( k + + [ ( k + [ ( T cos ([ ( [ ( ( ( ( k + k T π π k u k (3 Wth (3 and (9, ( and (3 become S k + S k T cos T k π π k u k ( ( ( ( ( T cos ( k + S S ( T π π ( u ( ( (3 (37 Usng (3, (37 and upper bound of poston moton uncertanty, from (, the second degree nequalty can be wrtten ma ( π π cos ( T T u + S [ S < (38 If u > and S S >, then the sldng control nput for poston moton s S S u ρ (39 ma T[ cos( T ( π π S k S k, the where ρ (. When ( ( attractveness condton (3 can not be satsfed. The control nput stll can be computed usng onlne estmates for π. Remark: The recursve least square method used to compute ˆ π, gven by (, ( and (, s convergent only when the system evolves n the neghborhood of sldng surface. Theore, the appromate sldng mode condton s satsfed, S ( k +,.e. T[ cos( T ( π ˆ π u + S ( From above, the control nput can be epressed as u S T[ cos( T ( π ˆ π ( Remark: s result of (, ( can be rewrtten as ˆ π ( k ˆ π ( k T[ cos( T ( [ ( ( ( ( ( + k π ˆ π k L π k u k + S k S k ( When the system evolves n sldng-mode on the surface (7, can epress the followngs e ( k k k e k ( ( ( δ (3 δ ( Theore, output trackng error dynamcs assocated to the reduced order system can be epressed as: e k + e k δ Te k ( ( ( ( ( k + e Te ( k e δ ( For δ, δ stable., the above dynamcs errors are T oneer 3-DX sldng-mode closed loop control For testng the proposed dscrete-tme sldng-mode adaptve controller oneer 3-DX wth on board C and wreless adapter has been used n crcular trajectory trackng. The rugged 3-DX s cm 38cm cm alumnum body wth.cm da drve wheels. The two motors use 38.3: gear ratos and contan -tck encoders. Ths dfferental drve platform s hghly holoc and can rotate n place

6 roceedngs of the 7th WSES Internatonal Conference on Systems Theory and Scentfc Computaton, thens, Greece, ugust -, 7 77 movng both wheels, or t can swng around a statonery wheel n a crcle of 3cm radus. rear caster balances the robot. The followng parameters of model (3 were used: mkg, Dcm, I, kgm, T.3s. The moment of nerta has been computed assumng the mass unformly dstrbuted. lnear-tme varyng mass addtonally to the nal one has been consdered. More precsely, the robotc tme-varyng mass has been ncreased lnearly from kg to kg. The crcle trajectory trackng, shown n fgures 3, was obtaned for ma., π ma. 33. The followng values have been chosen for the constants: µ., ρ ρ. 99, δ δ 3. 33, ( π (. y(t 3 poston trajectory - 3 (t 8 erence robot angular trajectory erence robot 8 t [sec - control nput - 8 t [sec trackng error angular poston poston angular - 8 t [sec Fg. 3. WMR closed loop response for crcular erence and ntal condtons (33; (33; 3( π /7; (-.; (.; (.. Concluson Dscrete-tme, sldng-mode adaptve controllers and parameter estmators for trajectory trackng appled to control angular and poston moton of oneer 3- DX one par of actve wheels moble robot, have presented n ths paper. The tme-varyng mass and moment of nerta dynamcal state space model have been undertaken n order to desgn the controllers. Even f as parameter uncertantes, only the robotc mass and moment of nerta have been consdered, the proposed controllers assure closed loop robustness to a wde typology of parameter and model uncertantes and eternal dsturbances. Two sldng-mode adaptve controllers have been desgned, for angular and poston moton, respectvely. The robustness s guaranteed by sldng-mode controllers and by on-lne parameter estmators. Controllers parameters, on-lne updated, assure an appromate sldng-mode evoluton even f the attractveness condton s not satsfed and contrbute to an ncreased robustness. References: [ L. E. ghlar., T.Hamel, and. Soueres, Robust path-followng control for wheeled robots va sldng mode technques. roceedngs of the 997 IEEE/RSJ Internatonal Conference on Intellgent Robots and Systems, Vol. 3, 997, pp [ C. Canudas de Wt, and O. J.Sordalen,. Eponental stablsaton of moble robots wth nonholoc constrants. IEEE Transactons on utomatc Control, 37, 99, pp [3 C. Canudas de Wt, B. Sclano, and K.. Valavans, Trends n moble robot and vehcle control, n Control roblems n Robotca, Lecture Notes n Control and Informaton Scence, Sprnger- Verlag, vol.3, 998, pp.-7. [ R. Ferro, and F.L. Lews, Robust practcal pont stablzaton of a nonholoc robot usng neural network, Journal of ntellgent and Robotc Systems,. 997, pp [. Flpescu, U. Nunes, S. Stamatescu, Dscretetme, sldng-mode wmr control based on parameter dentfcaton. reprnts of the th IFC World Congress, July, rague, Czech Republc. [ K. Furuta, Sldng mode control of a dscrete system. System & Control Letters, vol., 99, pp.-. [7 T. Leo, and G. Orlando,. Dscrete-tme sldng mode control of a nonholoc moble robot. roceedngs of the Nonlnear Control Systems desgn Symposum, NOLCOS, 998, pp.7-8. [8 L. Ljung, System Identfcaton ( nd edton. rentce Upper Saddle Rver, 999, NJ. [9. Stoca, and. hgren, Eact ntalsaton of the recursve least squares algorthm. Internatonal Journal of daptve Control and Sgnal rocessng, vol.,,, pp [ V. I. Utkn, Sldng mode n control optmzaton, Berln, Sprnger Verlag, 99. [ J. M. Yang and J. H. Km, Sldng mode control for trajectory trackng of nonholoc wheeled moble robots, IEEE transacton on Robotcs and utomaton, vol., no. 3, 999, pp [ X. Yu, and J. X. Xu, Varable Structures Systems: Towards st Century, Sprnger_Verlag Berln Hedelberg,.

An experiment on using the Pioneer3-DX robot in a multichannel measurement system

An experiment on using the Pioneer3-DX robot in a multichannel measurement system 8th WSEAS Internatonal Conference on SYSTEMS THEORY and SCIENTIFIC COMUTATION (ISTASC 8 Rhodes, Greece, August -, 8 An experment on usng the oneer3-dx robot n a multchannel measurement system G. VASILIU

More information

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle

More information

Chapter 11 Angular Momentum

Chapter 11 Angular Momentum Chapter 11 Angular Momentum Analyss Model: Nonsolated System (Angular Momentum) Angular Momentum of a Rotatng Rgd Object Analyss Model: Isolated System (Angular Momentum) Angular Momentum of a Partcle

More information

(Online First)A Lattice Boltzmann Scheme for Diffusion Equation in Spherical Coordinate

(Online First)A Lattice Boltzmann Scheme for Diffusion Equation in Spherical Coordinate Internatonal Journal of Mathematcs and Systems Scence (018) Volume 1 do:10.494/jmss.v1.815 (Onlne Frst)A Lattce Boltzmann Scheme for Dffuson Equaton n Sphercal Coordnate Debabrata Datta 1 *, T K Pal 1

More information

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE Analytcal soluton s usually not possble when exctaton vares arbtrarly wth tme or f the system s nonlnear. Such problems can be solved by numercal tmesteppng

More information

Moments of Inertia. and reminds us of the analogous equation for linear momentum p= mv, which is of the form. The kinetic energy of the body is.

Moments of Inertia. and reminds us of the analogous equation for linear momentum p= mv, which is of the form. The kinetic energy of the body is. Moments of Inerta Suppose a body s movng on a crcular path wth constant speed Let s consder two quanttes: the body s angular momentum L about the center of the crcle, and ts knetc energy T How are these

More information

The equation of motion of a dynamical system is given by a set of differential equations. That is (1)

The equation of motion of a dynamical system is given by a set of differential equations. That is (1) Dynamcal Systems Many engneerng and natural systems are dynamcal systems. For example a pendulum s a dynamcal system. State l The state of the dynamcal system specfes t condtons. For a pendulum n the absence

More information

The Study of Teaching-learning-based Optimization Algorithm

The Study of Teaching-learning-based Optimization Algorithm Advanced Scence and Technology Letters Vol. (AST 06), pp.05- http://dx.do.org/0.57/astl.06. The Study of Teachng-learnng-based Optmzaton Algorthm u Sun, Yan fu, Lele Kong, Haolang Q,, Helongang Insttute

More information

A new Approach for Solving Linear Ordinary Differential Equations

A new Approach for Solving Linear Ordinary Differential Equations , ISSN 974-57X (Onlne), ISSN 974-5718 (Prnt), Vol. ; Issue No. 1; Year 14, Copyrght 13-14 by CESER PUBLICATIONS A new Approach for Solvng Lnear Ordnary Dfferental Equatons Fawz Abdelwahd Department of

More information

Physics 5153 Classical Mechanics. Principle of Virtual Work-1

Physics 5153 Classical Mechanics. Principle of Virtual Work-1 P. Guterrez 1 Introducton Physcs 5153 Classcal Mechancs Prncple of Vrtual Work The frst varatonal prncple we encounter n mechancs s the prncple of vrtual work. It establshes the equlbrum condton of a mechancal

More information

DO NOT DO HOMEWORK UNTIL IT IS ASSIGNED. THE ASSIGNMENTS MAY CHANGE UNTIL ANNOUNCED.

DO NOT DO HOMEWORK UNTIL IT IS ASSIGNED. THE ASSIGNMENTS MAY CHANGE UNTIL ANNOUNCED. EE 539 Homeworks Sprng 08 Updated: Tuesday, Aprl 7, 08 DO NOT DO HOMEWORK UNTIL IT IS ASSIGNED. THE ASSIGNMENTS MAY CHANGE UNTIL ANNOUNCED. For full credt, show all work. Some problems requre hand calculatons.

More information

829. An adaptive method for inertia force identification in cantilever under moving mass

829. An adaptive method for inertia force identification in cantilever under moving mass 89. An adaptve method for nerta force dentfcaton n cantlever under movng mass Qang Chen 1, Mnzhuo Wang, Hao Yan 3, Haonan Ye 4, Guola Yang 5 1,, 3, 4 Department of Control and System Engneerng, Nanng Unversty,

More information

Convexity preserving interpolation by splines of arbitrary degree

Convexity preserving interpolation by splines of arbitrary degree Computer Scence Journal of Moldova, vol.18, no.1(52), 2010 Convexty preservng nterpolaton by splnes of arbtrary degree Igor Verlan Abstract In the present paper an algorthm of C 2 nterpolaton of dscrete

More information

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:

More information

Spin-rotation coupling of the angularly accelerated rigid body

Spin-rotation coupling of the angularly accelerated rigid body Spn-rotaton couplng of the angularly accelerated rgd body Loua Hassan Elzen Basher Khartoum, Sudan. Postal code:11123 E-mal: louaelzen@gmal.com November 1, 2017 All Rghts Reserved. Abstract Ths paper s

More information

Rigid body simulation

Rigid body simulation Rgd bod smulaton Rgd bod smulaton Once we consder an object wth spacal etent, partcle sstem smulaton s no longer suffcent Problems Problems Unconstraned sstem rotatonal moton torques and angular momentum

More information

The Chaotic Robot Prediction by Neuro Fuzzy Algorithm (2) = θ (3) = ω. Asin. A v. Mana Tarjoman, Shaghayegh Zarei

The Chaotic Robot Prediction by Neuro Fuzzy Algorithm (2) = θ (3) = ω. Asin. A v. Mana Tarjoman, Shaghayegh Zarei The Chaotc Robot Predcton by Neuro Fuzzy Algorthm Mana Tarjoman, Shaghayegh Zare Abstract In ths paper an applcaton of the adaptve neurofuzzy nference system has been ntroduced to predct the behavor of

More information

High resolution entropy stable scheme for shallow water equations

High resolution entropy stable scheme for shallow water equations Internatonal Symposum on Computers & Informatcs (ISCI 05) Hgh resoluton entropy stable scheme for shallow water equatons Xaohan Cheng,a, Yufeng Ne,b, Department of Appled Mathematcs, Northwestern Polytechncal

More information

Identification of Linear Partial Difference Equations with Constant Coefficients

Identification of Linear Partial Difference Equations with Constant Coefficients J. Basc. Appl. Sc. Res., 3(1)6-66, 213 213, TextRoad Publcaton ISSN 29-434 Journal of Basc and Appled Scentfc Research www.textroad.com Identfcaton of Lnear Partal Dfference Equatons wth Constant Coeffcents

More information

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1 P. Guterrez Physcs 5153 Classcal Mechancs D Alembert s Prncple and The Lagrangan 1 Introducton The prncple of vrtual work provdes a method of solvng problems of statc equlbrum wthout havng to consder the

More information

Time-Varying Systems and Computations Lecture 6

Time-Varying Systems and Computations Lecture 6 Tme-Varyng Systems and Computatons Lecture 6 Klaus Depold 14. Januar 2014 The Kalman Flter The Kalman estmaton flter attempts to estmate the actual state of an unknown dscrete dynamcal system, gven nosy

More information

Controller Design of High Order Nonholonomic System with Nonlinear Drifts

Controller Design of High Order Nonholonomic System with Nonlinear Drifts Internatonal Journal of Automaton and Computng 6(3, August 9, 4-44 DOI:.7/s633-9-4- Controller Desgn of Hgh Order Nonholonomc System wth Nonlnear Drfts Xu-Yun Zheng Yu-Qang Wu Research Insttute of Automaton,

More information

Iterative General Dynamic Model for Serial-Link Manipulators

Iterative General Dynamic Model for Serial-Link Manipulators EEL6667: Knematcs, Dynamcs and Control of Robot Manpulators 1. Introducton Iteratve General Dynamc Model for Seral-Lnk Manpulators In ths set of notes, we are gong to develop a method for computng a general

More information

Modeling of Dynamic Systems

Modeling of Dynamic Systems Modelng of Dynamc Systems Ref: Control System Engneerng Norman Nse : Chapters & 3 Chapter objectves : Revew the Laplace transform Learn how to fnd a mathematcal model, called a transfer functon Learn how

More information

Week 11: Chapter 11. The Vector Product. The Vector Product Defined. The Vector Product and Torque. More About the Vector Product

Week 11: Chapter 11. The Vector Product. The Vector Product Defined. The Vector Product and Torque. More About the Vector Product The Vector Product Week 11: Chapter 11 Angular Momentum There are nstances where the product of two vectors s another vector Earler we saw where the product of two vectors was a scalar Ths was called the

More information

12. The Hamilton-Jacobi Equation Michael Fowler

12. The Hamilton-Jacobi Equation Michael Fowler 1. The Hamlton-Jacob Equaton Mchael Fowler Back to Confguraton Space We ve establshed that the acton, regarded as a functon of ts coordnate endponts and tme, satsfes ( ) ( ) S q, t / t+ H qpt,, = 0, and

More information

Week 9 Chapter 10 Section 1-5

Week 9 Chapter 10 Section 1-5 Week 9 Chapter 10 Secton 1-5 Rotaton Rgd Object A rgd object s one that s nondeformable The relatve locatons of all partcles makng up the object reman constant All real objects are deformable to some extent,

More information

So far: simple (planar) geometries

So far: simple (planar) geometries Physcs 06 ecture 5 Torque and Angular Momentum as Vectors SJ 7thEd.: Chap. to 3 Rotatonal quanttes as vectors Cross product Torque epressed as a vector Angular momentum defned Angular momentum as a vector

More information

CHAPTER 6. LAGRANGE S EQUATIONS (Analytical Mechanics)

CHAPTER 6. LAGRANGE S EQUATIONS (Analytical Mechanics) CHAPTER 6 LAGRANGE S EQUATIONS (Analytcal Mechancs) 1 Ex. 1: Consder a partcle movng on a fxed horzontal surface. r P Let, be the poston and F be the total force on the partcle. The FBD s: -mgk F 1 x O

More information

The Quadratic Trigonometric Bézier Curve with Single Shape Parameter

The Quadratic Trigonometric Bézier Curve with Single Shape Parameter J. Basc. Appl. Sc. Res., (3541-546, 01 01, TextRoad Publcaton ISSN 090-4304 Journal of Basc and Appled Scentfc Research www.textroad.com The Quadratc Trgonometrc Bézer Curve wth Sngle Shape Parameter Uzma

More information

Study on Active Micro-vibration Isolation System with Linear Motor Actuator. Gong-yu PAN, Wen-yan GU and Dong LI

Study on Active Micro-vibration Isolation System with Linear Motor Actuator. Gong-yu PAN, Wen-yan GU and Dong LI 2017 2nd Internatonal Conference on Electrcal and Electroncs: echnques and Applcatons (EEA 2017) ISBN: 978-1-60595-416-5 Study on Actve Mcro-vbraton Isolaton System wth Lnear Motor Actuator Gong-yu PAN,

More information

ANSWERS. Problem 1. and the moment generating function (mgf) by. defined for any real t. Use this to show that E( U) var( U)

ANSWERS. Problem 1. and the moment generating function (mgf) by. defined for any real t. Use this to show that E( U) var( U) Econ 413 Exam 13 H ANSWERS Settet er nndelt 9 deloppgaver, A,B,C, som alle anbefales å telle lkt for å gøre det ltt lettere å stå. Svar er gtt . Unfortunately, there s a prntng error n the hnt of

More information

χ x B E (c) Figure 2.1.1: (a) a material particle in a body, (b) a place in space, (c) a configuration of the body

χ x B E (c) Figure 2.1.1: (a) a material particle in a body, (b) a place in space, (c) a configuration of the body Secton.. Moton.. The Materal Body and Moton hyscal materals n the real world are modeled usng an abstract mathematcal entty called a body. Ths body conssts of an nfnte number of materal partcles. Shown

More information

2.29 Numerical Fluid Mechanics

2.29 Numerical Fluid Mechanics REVIEW Lecture 10: Sprng 2015 Lecture 11 Classfcaton of Partal Dfferental Equatons PDEs) and eamples wth fnte dfference dscretzatons Parabolc PDEs Ellptc PDEs Hyperbolc PDEs Error Types and Dscretzaton

More information

A revised adaptive fuzzy sliding mode controller for robotic manipulators

A revised adaptive fuzzy sliding mode controller for robotic manipulators A revsed adaptve fuzzy sldng mode controller for robotc manpulators Xaosong Lu* Department of Systems and Computer Engneerng, Carleton Unversty, 5 Colonel By Drve, Ottawa, Ontaro, Canada E-mal: luxaos@sce.carleton.ca

More information

Design and Analysis of Landing Gear Mechanic Structure for the Mine Rescue Carrier Robot

Design and Analysis of Landing Gear Mechanic Structure for the Mine Rescue Carrier Robot Sensors & Transducers 214 by IFSA Publshng, S. L. http://www.sensorsportal.com Desgn and Analyss of Landng Gear Mechanc Structure for the Mne Rescue Carrer Robot We Juan, Wu Ja-Long X an Unversty of Scence

More information

Inductance Calculation for Conductors of Arbitrary Shape

Inductance Calculation for Conductors of Arbitrary Shape CRYO/02/028 Aprl 5, 2002 Inductance Calculaton for Conductors of Arbtrary Shape L. Bottura Dstrbuton: Internal Summary In ths note we descrbe a method for the numercal calculaton of nductances among conductors

More information

Appendix B. The Finite Difference Scheme

Appendix B. The Finite Difference Scheme 140 APPENDIXES Appendx B. The Fnte Dfference Scheme In ths appendx we present numercal technques whch are used to approxmate solutons of system 3.1 3.3. A comprehensve treatment of theoretcal and mplementaton

More information

Rotational Dynamics. Physics 1425 Lecture 19. Michael Fowler, UVa

Rotational Dynamics. Physics 1425 Lecture 19. Michael Fowler, UVa Rotatonal Dynamcs Physcs 1425 Lecture 19 Mchael Fowler, UVa Rotatonal Dynamcs Newton s Frst Law: a rotatng body wll contnue to rotate at constant angular velocty as long as there s no torque actng on t.

More information

PHYS 705: Classical Mechanics. Newtonian Mechanics

PHYS 705: Classical Mechanics. Newtonian Mechanics 1 PHYS 705: Classcal Mechancs Newtonan Mechancs Quck Revew of Newtonan Mechancs Basc Descrpton: -An dealzed pont partcle or a system of pont partcles n an nertal reference frame [Rgd bodes (ch. 5 later)]

More information

Irregular vibrations in multi-mass discrete-continuous systems torsionally deformed

Irregular vibrations in multi-mass discrete-continuous systems torsionally deformed (2) 4 48 Irregular vbratons n mult-mass dscrete-contnuous systems torsonally deformed Abstract In the paper rregular vbratons of dscrete-contnuous systems consstng of an arbtrary number rgd bodes connected

More information

An Algorithm to Solve the Inverse Kinematics Problem of a Robotic Manipulator Based on Rotation Vectors

An Algorithm to Solve the Inverse Kinematics Problem of a Robotic Manipulator Based on Rotation Vectors An Algorthm to Solve the Inverse Knematcs Problem of a Robotc Manpulator Based on Rotaton Vectors Mohamad Z. Al-az*, Mazn Z. Othman**, and Baker B. Al-Bahr* *AL-Nahran Unversty, Computer Eng. Dep., Baghdad,

More information

Tracking with Kalman Filter

Tracking with Kalman Filter Trackng wth Kalman Flter Scott T. Acton Vrgna Image and Vdeo Analyss (VIVA), Charles L. Brown Department of Electrcal and Computer Engneerng Department of Bomedcal Engneerng Unversty of Vrgna, Charlottesvlle,

More information

A Fuzzy-Neural Adaptive Iterative Learning Control for Freeway Traffic Flow Systems

A Fuzzy-Neural Adaptive Iterative Learning Control for Freeway Traffic Flow Systems Proceedngs of the Internatonal MultConference of Engneers and Computer Scentsts 016 Vol I, IMECS 016, March 16-18, 016, Hong Kong A Fuzzy-Neural Adaptve Iteratve Learnng Control for Freeway Traffc Flow

More information

Spring 2002 Lecture #13

Spring 2002 Lecture #13 44-50 Sprng 00 ecture # Dr. Jaehoon Yu. Rotatonal Energy. Computaton of oments of nerta. Parallel-as Theorem 4. Torque & Angular Acceleraton 5. Work, Power, & Energy of Rotatonal otons Remember the md-term

More information

Physics 181. Particle Systems

Physics 181. Particle Systems Physcs 181 Partcle Systems Overvew In these notes we dscuss the varables approprate to the descrpton of systems of partcles, ther defntons, ther relatons, and ther conservatons laws. We consder a system

More information

Research on the Fuzzy Control for Vehicle Semi-active Suspension. Xiaoming Hu 1, a, Wanli Li 1,b

Research on the Fuzzy Control for Vehicle Semi-active Suspension. Xiaoming Hu 1, a, Wanli Li 1,b Advanced Materals Research Onlne: 0-0- ISSN: -9, Vol., pp -9 do:0.0/www.scentfc.net/amr.. 0 Trans Tech Publcatons, Swterland Research on the Fuy Control for Vehcle Sem-actve Suspenson Xaomng Hu, a, Wanl

More information

Part C Dynamics and Statics of Rigid Body. Chapter 5 Rotation of a Rigid Body About a Fixed Axis

Part C Dynamics and Statics of Rigid Body. Chapter 5 Rotation of a Rigid Body About a Fixed Axis Part C Dynamcs and Statcs of Rgd Body Chapter 5 Rotaton of a Rgd Body About a Fxed Axs 5.. Rotatonal Varables 5.. Rotaton wth Constant Angular Acceleraton 5.3. Knetc Energy of Rotaton, Rotatonal Inerta

More information

Using T.O.M to Estimate Parameter of distributions that have not Single Exponential Family

Using T.O.M to Estimate Parameter of distributions that have not Single Exponential Family IOSR Journal of Mathematcs IOSR-JM) ISSN: 2278-5728. Volume 3, Issue 3 Sep-Oct. 202), PP 44-48 www.osrjournals.org Usng T.O.M to Estmate Parameter of dstrbutons that have not Sngle Exponental Famly Jubran

More information

The classical spin-rotation coupling

The classical spin-rotation coupling LOUAI H. ELZEIN 2018 All Rghts Reserved The classcal spn-rotaton couplng Loua Hassan Elzen Basher Khartoum, Sudan. Postal code:11123 louaelzen@gmal.com Abstract Ths paper s prepared to show that a rgd

More information

NMT EE 589 & UNM ME 482/582 ROBOT ENGINEERING. Dr. Stephen Bruder NMT EE 589 & UNM ME 482/582

NMT EE 589 & UNM ME 482/582 ROBOT ENGINEERING. Dr. Stephen Bruder NMT EE 589 & UNM ME 482/582 NMT EE 589 & UNM ME 48/58 ROBOT ENGINEERING Dr. Stephen Bruder NMT EE 589 & UNM ME 48/58 7. Robot Dynamcs 7.5 The Equatons of Moton Gven that we wsh to fnd the path q(t (n jont space) whch mnmzes the energy

More information

Multivariate Ratio Estimator of the Population Total under Stratified Random Sampling

Multivariate Ratio Estimator of the Population Total under Stratified Random Sampling Open Journal of Statstcs, 0,, 300-304 ttp://dx.do.org/0.436/ojs.0.3036 Publsed Onlne July 0 (ttp://www.scrp.org/journal/ojs) Multvarate Rato Estmator of te Populaton Total under Stratfed Random Samplng

More information

Distributed Exponential Formation Control of Multiple Wheeled Mobile Robots

Distributed Exponential Formation Control of Multiple Wheeled Mobile Robots Proceedngs of the Internatonal Conference of Control, Dynamc Systems, and Robotcs Ottawa, Ontaro, Canada, May 15-16 214 Paper No. 46 Dstrbuted Exponental Formaton Control of Multple Wheeled Moble Robots

More information

Chapter 8. Potential Energy and Conservation of Energy

Chapter 8. Potential Energy and Conservation of Energy Chapter 8 Potental Energy and Conservaton of Energy In ths chapter we wll ntroduce the followng concepts: Potental Energy Conservatve and non-conservatve forces Mechancal Energy Conservaton of Mechancal

More information

6.3.4 Modified Euler s method of integration

6.3.4 Modified Euler s method of integration 6.3.4 Modfed Euler s method of ntegraton Before dscussng the applcaton of Euler s method for solvng the swng equatons, let us frst revew the basc Euler s method of numercal ntegraton. Let the general from

More information

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng

More information

Modeling and Simulation of a Hexapod Machine Tool for the Dynamic Stability Analysis of Milling Processes. C. Henninger, P.

Modeling and Simulation of a Hexapod Machine Tool for the Dynamic Stability Analysis of Milling Processes. C. Henninger, P. Smpack User Meetng 27 Modelng and Smulaton of a Heapod Machne Tool for the Dynamc Stablty Analyss of Mllng Processes C. Hennnger, P. Eberhard Insttute of Engneerng project funded by the DFG wthn the framework

More information

Harmonic Detection Algorithm based on DQ Axis with Fourier Analysis for Hybrid Power Filters

Harmonic Detection Algorithm based on DQ Axis with Fourier Analysis for Hybrid Power Filters Harmonc Detecton Algorthm based on DQ Axs wth Fourer Analyss for Hybrd Power Flters K-L. AREERAK Power Qualty Research Unt, School of Electrcal Engneerng Insttute of Engneerng, Suranaree Unversty of Technology

More information

Simulated Power of the Discrete Cramér-von Mises Goodness-of-Fit Tests

Simulated Power of the Discrete Cramér-von Mises Goodness-of-Fit Tests Smulated of the Cramér-von Mses Goodness-of-Ft Tests Steele, M., Chaselng, J. and 3 Hurst, C. School of Mathematcal and Physcal Scences, James Cook Unversty, Australan School of Envronmental Studes, Grffth

More information

ADVANCED MACHINE LEARNING ADVANCED MACHINE LEARNING

ADVANCED MACHINE LEARNING ADVANCED MACHINE LEARNING 1 ADVANCED ACHINE LEARNING ADVANCED ACHINE LEARNING Non-lnear regresson technques 2 ADVANCED ACHINE LEARNING Regresson: Prncple N ap N-dm. nput x to a contnuous output y. Learn a functon of the type: N

More information

coordinates. Then, the position vectors are described by

coordinates. Then, the position vectors are described by Revewng, what we have dscussed so far: Generalzed coordnates Any number of varables (say, n) suffcent to specfy the confguraton of the system at each nstant to tme (need not be the mnmum number). In general,

More information

CSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography

CSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography CSc 6974 and ECSE 6966 Math. Tech. for Vson, Graphcs and Robotcs Lecture 21, Aprl 17, 2006 Estmatng A Plane Homography Overvew We contnue wth a dscusson of the major ssues, usng estmaton of plane projectve

More information

Off-policy Reinforcement Learning for Robust Control of Discrete-time Uncertain Linear Systems

Off-policy Reinforcement Learning for Robust Control of Discrete-time Uncertain Linear Systems Off-polcy Renforcement Learnng for Robust Control of Dscrete-tme Uncertan Lnear Systems Yonglang Yang 1 Zhshan Guo 2 Donald Wunsch 3 Yxn Yn 1 1 School of Automatc and Electrcal Engneerng Unversty of Scence

More information

Mathematical Preparations

Mathematical Preparations 1 Introducton Mathematcal Preparatons The theory of relatvty was developed to explan experments whch studed the propagaton of electromagnetc radaton n movng coordnate systems. Wthn expermental error the

More information

Unknown input extended Kalman filter-based fault diagnosis for satellite actuator

Unknown input extended Kalman filter-based fault diagnosis for satellite actuator Internatonal Conference on Computer and Automaton Engneerng (ICCAE ) IPCSI vol 44 () () IACSI Press, Sngapore DOI: 776/IPCSIV44 Unnown nput extended Kalman flter-based fault dagnoss for satellte actuator

More information

Sampling Theory MODULE V LECTURE - 17 RATIO AND PRODUCT METHODS OF ESTIMATION

Sampling Theory MODULE V LECTURE - 17 RATIO AND PRODUCT METHODS OF ESTIMATION Samplng Theory MODULE V LECTURE - 7 RATIO AND PRODUCT METHODS OF ESTIMATION DR. SHALABH DEPARTMENT OF MATHEMATICS AND STATISTICS INDIAN INSTITUTE OF TECHNOLOG KANPUR Propertes of separate rato estmator:

More information

Neuro-Adaptive Design - I:

Neuro-Adaptive Design - I: Lecture 36 Neuro-Adaptve Desgn - I: A Robustfyng ool for Dynamc Inverson Desgn Dr. Radhakant Padh Asst. Professor Dept. of Aerospace Engneerng Indan Insttute of Scence - Bangalore Motvaton Perfect system

More information

Optimal Pursuit Time in Differential Game for an Infinite System of Differential Equations

Optimal Pursuit Time in Differential Game for an Infinite System of Differential Equations Malaysan Journal of Mathematcal Scences 1(S) August: 267 277 (216) Specal Issue: The 7 th Internatonal Conference on Research and Educaton n Mathematcs (ICREM7) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES

More information

Parameter Estimation for Dynamic System using Unscented Kalman filter

Parameter Estimation for Dynamic System using Unscented Kalman filter Parameter Estmaton for Dynamc System usng Unscented Kalman flter Jhoon Seung 1,a, Amr Atya F. 2,b, Alexander G.Parlos 3,c, and Klto Chong 1,4,d* 1 Dvson of Electroncs Engneerng, Chonbuk Natonal Unversty,

More information

MEASUREMENT OF MOMENT OF INERTIA

MEASUREMENT OF MOMENT OF INERTIA 1. measurement MESUREMENT OF MOMENT OF INERTI The am of ths measurement s to determne the moment of nerta of the rotor of an electrc motor. 1. General relatons Rotatng moton and moment of nerta Let us

More information

6.3.7 Example with Runga Kutta 4 th order method

6.3.7 Example with Runga Kutta 4 th order method 6.3.7 Example wth Runga Kutta 4 th order method Agan, as an example, 3 machne, 9 bus system shown n Fg. 6.4 s agan consdered. Intally, the dampng of the generators are neglected (.e. d = 0 for = 1, 2,

More information

An Interactive Optimisation Tool for Allocation Problems

An Interactive Optimisation Tool for Allocation Problems An Interactve Optmsaton ool for Allocaton Problems Fredr Bonäs, Joam Westerlund and apo Westerlund Process Desgn Laboratory, Faculty of echnology, Åbo Aadem Unversty, uru 20500, Fnland hs paper presents

More information

ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM

ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM An elastc wave s a deformaton of the body that travels throughout the body n all drectons. We can examne the deformaton over a perod of tme by fxng our look

More information

PHYS 705: Classical Mechanics. Calculus of Variations II

PHYS 705: Classical Mechanics. Calculus of Variations II 1 PHYS 705: Classcal Mechancs Calculus of Varatons II 2 Calculus of Varatons: Generalzaton (no constrant yet) Suppose now that F depends on several dependent varables : We need to fnd such that has a statonary

More information

Uncertainty as the Overlap of Alternate Conditional Distributions

Uncertainty as the Overlap of Alternate Conditional Distributions Uncertanty as the Overlap of Alternate Condtonal Dstrbutons Olena Babak and Clayton V. Deutsch Centre for Computatonal Geostatstcs Department of Cvl & Envronmental Engneerng Unversty of Alberta An mportant

More information

Asymptotics of the Solution of a Boundary Value. Problem for One-Characteristic Differential. Equation Degenerating into a Parabolic Equation

Asymptotics of the Solution of a Boundary Value. Problem for One-Characteristic Differential. Equation Degenerating into a Parabolic Equation Nonl. Analyss and Dfferental Equatons, ol., 4, no., 5 - HIKARI Ltd, www.m-har.com http://dx.do.org/.988/nade.4.456 Asymptotcs of the Soluton of a Boundary alue Problem for One-Characterstc Dfferental Equaton

More information

Amplification and Relaxation of Electron Spin Polarization in Semiconductor Devices

Amplification and Relaxation of Electron Spin Polarization in Semiconductor Devices Amplfcaton and Relaxaton of Electron Spn Polarzaton n Semconductor Devces Yury V. Pershn and Vladmr Prvman Center for Quantum Devce Technology, Clarkson Unversty, Potsdam, New York 13699-570, USA Spn Relaxaton

More information

Supporting Information

Supporting Information Supportng Informaton The neural network f n Eq. 1 s gven by: f x l = ReLU W atom x l + b atom, 2 where ReLU s the element-wse rectfed lnear unt, 21.e., ReLUx = max0, x, W atom R d d s the weght matrx to

More information

10/23/2003 PHY Lecture 14R 1

10/23/2003 PHY Lecture 14R 1 Announcements. Remember -- Tuesday, Oct. 8 th, 9:30 AM Second exam (coverng Chapters 9-4 of HRW) Brng the followng: a) equaton sheet b) Calculator c) Pencl d) Clear head e) Note: If you have kept up wth

More information

Convergence of random processes

Convergence of random processes DS-GA 12 Lecture notes 6 Fall 216 Convergence of random processes 1 Introducton In these notes we study convergence of dscrete random processes. Ths allows to characterze phenomena such as the law of large

More information

Chapter 11: Simple Linear Regression and Correlation

Chapter 11: Simple Linear Regression and Correlation Chapter 11: Smple Lnear Regresson and Correlaton 11-1 Emprcal Models 11-2 Smple Lnear Regresson 11-3 Propertes of the Least Squares Estmators 11-4 Hypothess Test n Smple Lnear Regresson 11-4.1 Use of t-tests

More information

Adaptive sliding mode reliable excitation control design for power systems

Adaptive sliding mode reliable excitation control design for power systems Acta Technca 6, No. 3B/17, 593 6 c 17 Insttute of Thermomechancs CAS, v.v.. Adaptve sldng mode relable exctaton control desgn for power systems Xuetng Lu 1, 3, Yanchao Yan Abstract. In ths paper, the problem

More information

2 Finite difference basics

2 Finite difference basics Numersche Methoden 1, WS 11/12 B.J.P. Kaus 2 Fnte dfference bascs Consder the one- The bascs of the fnte dfference method are best understood wth an example. dmensonal transent heat conducton equaton T

More information

DETERMINATION OF TEMPERATURE DISTRIBUTION FOR ANNULAR FINS WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY BY HPM

DETERMINATION OF TEMPERATURE DISTRIBUTION FOR ANNULAR FINS WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY BY HPM Ganj, Z. Z., et al.: Determnaton of Temperature Dstrbuton for S111 DETERMINATION OF TEMPERATURE DISTRIBUTION FOR ANNULAR FINS WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY BY HPM by Davood Domr GANJI

More information

Solving Fractional Nonlinear Fredholm Integro-differential Equations via Hybrid of Rationalized Haar Functions

Solving Fractional Nonlinear Fredholm Integro-differential Equations via Hybrid of Rationalized Haar Functions ISSN 746-7659 England UK Journal of Informaton and Computng Scence Vol. 9 No. 3 4 pp. 69-8 Solvng Fractonal Nonlnear Fredholm Integro-dfferental Equatons va Hybrd of Ratonalzed Haar Functons Yadollah Ordokhan

More information

Grid Generation around a Cylinder by Complex Potential Functions

Grid Generation around a Cylinder by Complex Potential Functions Research Journal of Appled Scences, Engneerng and Technolog 4(): 53-535, 0 ISSN: 040-7467 Mawell Scentfc Organzaton, 0 Submtted: December 0, 0 Accepted: Januar, 0 Publshed: June 0, 0 Grd Generaton around

More information

Elshaboury SM et al.; Sch. J. Phys. Math. Stat., 2015; Vol-2; Issue-2B (Mar-May); pp

Elshaboury SM et al.; Sch. J. Phys. Math. Stat., 2015; Vol-2; Issue-2B (Mar-May); pp Elshabour SM et al.; Sch. J. Phs. Math. Stat. 5; Vol-; Issue-B (Mar-Ma); pp-69-75 Scholars Journal of Phscs Mathematcs Statstcs Sch. J. Phs. Math. Stat. 5; (B):69-75 Scholars Academc Scentfc Publshers

More information

An Improved multiple fractal algorithm

An Improved multiple fractal algorithm Advanced Scence and Technology Letters Vol.31 (MulGraB 213), pp.184-188 http://dx.do.org/1.1427/astl.213.31.41 An Improved multple fractal algorthm Yun Ln, Xaochu Xu, Jnfeng Pang College of Informaton

More information

Lecture Note 3. Eshelby s Inclusion II

Lecture Note 3. Eshelby s Inclusion II ME340B Elastcty of Mcroscopc Structures Stanford Unversty Wnter 004 Lecture Note 3. Eshelby s Incluson II Chrs Wenberger and We Ca c All rghts reserved January 6, 004 Contents 1 Incluson energy n an nfnte

More information

Canonical transformations

Canonical transformations Canoncal transformatons November 23, 2014 Recall that we have defned a symplectc transformaton to be any lnear transformaton M A B leavng the symplectc form nvarant, Ω AB M A CM B DΩ CD Coordnate transformatons,

More information

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X Statstcs 1: Probablty Theory II 37 3 EPECTATION OF SEVERAL RANDOM VARIABLES As n Probablty Theory I, the nterest n most stuatons les not on the actual dstrbuton of a random vector, but rather on a number

More information

Celestial Mechanics. Basic Orbits. Why circles? Tycho Brahe. PHY celestial-mechanics - J. Hedberg

Celestial Mechanics. Basic Orbits. Why circles? Tycho Brahe. PHY celestial-mechanics - J. Hedberg PHY 454 - celestal-mechancs - J. Hedberg - 207 Celestal Mechancs. Basc Orbts. Why crcles? 2. Tycho Brahe 3. Kepler 4. 3 laws of orbtng bodes 2. Newtonan Mechancs 3. Newton's Laws. Law of Gravtaton 2. The

More information

Suppose that there s a measured wndow of data fff k () ; :::; ff k g of a sze w, measured dscretely wth varable dscretzaton step. It s convenent to pl

Suppose that there s a measured wndow of data fff k () ; :::; ff k g of a sze w, measured dscretely wth varable dscretzaton step. It s convenent to pl RECURSIVE SPLINE INTERPOLATION METHOD FOR REAL TIME ENGINE CONTROL APPLICATIONS A. Stotsky Volvo Car Corporaton Engne Desgn and Development Dept. 97542, HA1N, SE- 405 31 Gothenburg Sweden. Emal: astotsky@volvocars.com

More information

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems Numercal Analyss by Dr. Anta Pal Assstant Professor Department of Mathematcs Natonal Insttute of Technology Durgapur Durgapur-713209 emal: anta.bue@gmal.com 1 . Chapter 5 Soluton of System of Lnear Equatons

More information

MATH 5630: Discrete Time-Space Model Hung Phan, UMass Lowell March 1, 2018

MATH 5630: Discrete Time-Space Model Hung Phan, UMass Lowell March 1, 2018 MATH 5630: Dscrete Tme-Space Model Hung Phan, UMass Lowell March, 08 Newton s Law of Coolng Consder the coolng of a well strred coffee so that the temperature does not depend on space Newton s law of collng

More information

Lecture 12: Discrete Laplacian

Lecture 12: Discrete Laplacian Lecture 12: Dscrete Laplacan Scrbe: Tanye Lu Our goal s to come up wth a dscrete verson of Laplacan operator for trangulated surfaces, so that we can use t n practce to solve related problems We are mostly

More information

Numerical Heat and Mass Transfer

Numerical Heat and Mass Transfer Master degree n Mechancal Engneerng Numercal Heat and Mass Transfer 06-Fnte-Dfference Method (One-dmensonal, steady state heat conducton) Fausto Arpno f.arpno@uncas.t Introducton Why we use models and

More information

Solution for singularly perturbed problems via cubic spline in tension

Solution for singularly perturbed problems via cubic spline in tension ISSN 76-769 England UK Journal of Informaton and Computng Scence Vol. No. 06 pp.6-69 Soluton for sngularly perturbed problems va cubc splne n tenson K. Aruna A. S. V. Rav Kant Flud Dynamcs Dvson Scool

More information

Physics 111: Mechanics Lecture 11

Physics 111: Mechanics Lecture 11 Physcs 111: Mechancs Lecture 11 Bn Chen NJIT Physcs Department Textbook Chapter 10: Dynamcs of Rotatonal Moton q 10.1 Torque q 10. Torque and Angular Acceleraton for a Rgd Body q 10.3 Rgd-Body Rotaton

More information

THE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS OF A TELESCOPIC HYDRAULIC CYLINDER SUBJECTED TO EULER S LOAD

THE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS OF A TELESCOPIC HYDRAULIC CYLINDER SUBJECTED TO EULER S LOAD Journal of Appled Mathematcs and Computatonal Mechancs 7, 6(3), 7- www.amcm.pcz.pl p-issn 99-9965 DOI:.75/jamcm.7.3. e-issn 353-588 THE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS

More information