SOFT COMPUTING APPROACH TO DESIGN PID CONTROLLER FOR TANK LIQUID LEVEL CONTROL PROBLEM
|
|
- Shana Hart
- 5 years ago
- Views:
Transcription
1 Journal of Engneerng Scence and Technology EUREA 4 Secal Iue January School of Engneerng, Taylor Unvery SOFT OMPUTIN APPROAH TO DESIN PID ONTROLLER FOR TANK LIQUID LEVEL ONTROL PROBLEM K. SURESH MANI, *, SARATH ANANTHASIVAM, V. RAJINIKANTH School of Engneerng, Taylor Unvery, Taylor' Lakede amu, No. Jalan Taylor', 475, Subang Jaya, Selangor DE, Malaya. Dearmen of Elecronc and Inrumenaon Engneerng, S. Joeh ollege of Engneerng, henna 6 9, Tamlnadu, Inda. *orreondng Auhor: SurehManc.Keavan@aylor.edu.my Abrac In h aer, an nvegaon ha been made o degn he be oble Prooronal Inegral Dervave PID conroller for he Hoer ye ank and Shercal ank yem. In order o denfy he omal conroller arameer, of comung cheme, uch a Parcle Swarm Omzaon, Baceral Foragng Omzaon, Frefly Algorhm, and uckoo Search are condered. In he rooed work, mnmzaon of a weghed um of Objecve Funcon OF adoed o gude he of comung echnque baed conroller degn rocedure. The qualave and quanave analy carred ou o valdae he erformance of he condered rocedure. The reul evden ha, he Brownan walk guded algorhm offer beer erformance comared o he. Keyword: Hoer ye ank, Shercal ank, PID conroller, Brownan walk, Heurc algorhm.. Inroducon Degn of arorae PID conroller wdely referred n roce ndure o enhance he quany of fnal roduc whou comromng he qualy. In he conrol leraure, a number of radonal [-4] and of comung aroach [5-7] baed PID degn rocedure are dcued by mo of he reearcher for able, unable and nonlnear yem. Even hough here ex a number of radonal unng rocedure [, 8], heurc and meaheurc algorhm baed aroache are alo condered by he reearcher n recen year [9-]. Thee of comung aroache are referred n conrol alcaon becaue of 8
2 Sof omung Aroach o Degn PID onroller for Tank Lqud Level Nomenclaure D K K d K K M Dmenon of earch Proce model Proce gan Dervave gan Inegral gan Prooronal gan Peak overhoo Selng me reek Symbol θ Proce me delay τ Proce me conan Abbrevaon BW FOPTD ITAE ITSE PID Brownan walk Fr order lu me delay Inegral me abolue error Inegral me quare error Prooronal Inegral Dervave Parcle warm omzaon mlcy, omzaon ably, and eed of reone. Due o flexbly; he of comung aroache can ealy ada wh exng clacal conroller degn rocedure. Hence, n recen day, ued a a ool o degn clacal and modfed rucured conroller for a cla of able, unable, and nonlnear roce model In h aer, of comung baed PID conroller degn rocedure dcued for hoer ank and hercal ank yem and erformance comaron reened beween algorhm, uch a Parcle Swarm Omzaon, Baceral Foragng Omzaon, Frefly Algorhm, and uckoo Search for he reference rackng and nu durbance oeraon. The aer organzed a follow: Secon reen he roblem formulaon for PID conroller degn. Proce decron dcued n Secon 3. Secon 4 reen he overvew of he heurc algorhm condered n h udy and mlemenaon. Exermenal reul are evaluaed and dcued n Secon 5. oncluon of he reen reearch work gven n Secon 6.. Problem Formulaon In order o mrove he erformance of cloed loo yem, omally uned PID conroller requred. Fgure dec he lluraon of a convenonal cloed loo conrol yem. In h, he conroller c ha o uor cloed loo ably, mooh reference rackng, and effcen durbance rejecon []. In h, c ued o mrove boh he eady ae a well a he ranen reone of. The man objecve here o make Y = R. In h framework, c connuouly adju he value of U c unl he error E zero rreecve of D. Journal of Engneerng Scence and Technology Secal Iue /5
3 84 K. Sureh Manc e al. Journal of Engneerng Scence and Technology Secal Iue /5 D E U c c Y R _ Fg.. eneral cloed loo yem rucure. The cloed loo reone of he yem wh reference R and uly durbance D can be exreed a: D R Y = where he comlemenary envy funcon and envy funcon of he above loo rereened n Eq. and 3 reecvely. = = R Y T = S 3 The fnal eady ae reone of he yem for he e on rackng and he durbance rejecon reened below A A x Y y R R = = = lm lm 4 L x lm y D = = 5 where A amlude of he reference gnal and L he durbance amlude. To acheve a afacory y R and y D, neceary o ue omally uned PID arameer value. In h aer, non-neracng form of PID rucure adoed. In h rucure, a low a fler avalable wh he dervave erm o mnmze he effec of meauremen noe. The PID rucure defned below: = T T T K f d d c N 6 where K / T = K, K x T d = K d and N f = fler conan =. 3. Proce Decron Indural yem are nonlnear n naure. Mo of he real me roce loo are characerzed by an equvalen hgher order modellng equaon. Thee nonlnear rocee can be effcenly modelled a lnear rocee baed on oerang
4 Sof omung Aroach o Degn PID onroller for Tank Lqud Level regon. In he rooed work, he FOPTD model of he hoer ank yem and hercal ank yem are condered. 3.. Hoer ank Hoer ye roce model hown n Fg. a. Th yem ha concal boom oron and cylndrcal uer oron []. In h work, we condered he concal oron alone. The concal oron hghly nonlnear n naure and develong he mahemacal model baed on he workng regon a hard job. F n F n 5 cm 5 cm 5 cm F ou F ou Fg. a Hoer Tank Syem. Fg. b Shercal Tank Syem. In h aer, he mahemacal model of he hoer ank yem wh varou oerang regon dcued by Keavan e al. [] condered. In her work, he concal oron of he ank condered and four able FOPTD model are develoed baed on he dfferen oerang regon a hown n Table. Table. Proce arameer a dfferen oerang range. Inflow Range Level range % cm 3 / cm K τ θ 4 I Regon II Regon III Regon IV Regon Shercal ank The hercal ank he one of he nonlnear yem wdely dcued by he reearcher n he leraure [3, 4]. In h work, he hercal ank yem hown n Fg. b condered. The oerang regon of he hercal ank yem choen a 8 cm. A h oerang regon, 9.549% of ank flled wh he waer 9.34 L and 7.45% flled wh he ar, and he develoed mahemacal model around he correondng oerang range reened below [4] e = Journal of Engneerng Scence and Technology Secal Iue /5
5 86 K. Sureh Manc e al. In he rooed work, he concal ank oron wh a hegh of 5 cm condered for hoer ank yem and he hercal ank wh a dameer of 5 cm condered o develo he requred FOPTD model of he yem around he oerang regon. 4. Overvew of Heurc Algorhm ondered In recen year, a conderable number of heurc and mea-heurc algorhm are rooed by he reearcher o deal wh varey of omzaon roblem. In h work, well known algorhm, uch a Parcle Swarm Omzaon, Baceral Foragng Omzaon, Frefly Algorhm and uckoo Search are condered o degn he PID conroller. 4.. Parcle warm omzaon algorhm wa rooed by Kennedy and Eberhar n 995 [5]. omared o oher agen-baed ochac omzaon echnque, offer beer exloraon erformance, faer and more able convergence rae. Alo, he number of nal algorhm arameer o be agned very few comared o oher naure-nred algorhm exng n he leraure [3]. Durng he omzaon earch, each arcle remember be oon aaned o far.e., be - P,D, and alo oban he global be oon nformaon acheved by any arcle n he oulaon.e., gbe -,D. A eraon, each arcle ha oon defned by X = X, X,..., X ] and velocy defned a V = V, V,..., V ] n earch.n [,,,D dmenon D.,n [,,,D Velocy and oon of each arcle n he nex eraon can be calculaed a V, D = W *V, D * R * P, D X, D * R *, D X, D 8 X, D = X, D V, D 9 where =,,..., ; n =,,..., D; he cognve arameer ycally ; he ocal arameer ycally ; R and R are random number n he range -; and W he weghng arameer ycally.75 [3]. 4.. Brownan walk guded algorhm In he heurc algorhm baed earch, generally he ucce oward he omal oluon moly rele on he gudng rocedure. Mo of he recenly develoed naure nred omzaon earch roce guded by Lévy Flgh LF and Brownan Walk BW raegy. In h aer, BW condered o gude algorhm, uch a, and The Brownan Walk BW a ubdffuve non-markovan roce, whch follow a auan drbuon wh zero mean and me-deenden varance. In h work, he BW recenly dcued by Raja e al. [6] adoed. Journal of Engneerng Scence and Technology Secal Iue /5
6 Sof omung Aroach o Degn PID onroller for Tank Lqud Level The followng formulae are condered Brownan drbuon = α / B = A. βπ A = βγ β n π where A he random varable, β he aal exonen, α he emoral exonen, and Γ β a amma funcon. A dealed decron of BW dcued n [6-8]. Fgure 3 how he exloraon race made by a BW guded ngle agen n a D dmenonal earch ace. When eraon ncreae, all he agen n he algorhm wll converge oward he omal value of he conroller arameer n he earch unvere. - Kd K K Fg. 3. Search race made by a ngle agen n Brownan drbuon Baceral foragng omzaon algorhm wa develoed n by mmckng he foragng behavour of E. col bacera. In he rooed work, he enhanced algorhm dcued n [4] condered. The nal algorhm arameer are agned a follow: Number of E.ol bacera = N N c = N ; N = N re 3 N ; Ned 4 N ; Nr = N ; Ped = d aracan = W aracan = N ed N Nr N ; and hreellan = W reellen = N ; N c. N In algorhm, omzaon accuracy and convergence rae deend on he chemoax oeraon and can be exreed a n Eq. [4]. θ j, k, l = θ j, k, l 3 T where θ j, k, l how h bacerum a j h chemoacc, k h reroducve and l h elmnaon-deral e; he e ze n he random drecon, and a random vecor of ze {-, }. In he rooed work, Eq. modfed a hown below: θ j, k, l = θ j, k, l B 4 T Journal of Engneerng Scence and Technology Secal Iue /5
7 88 K. Sureh Manc e al. where he ymbol rereen he enry we mullcaon, and B he Brownan walk oeraor Frefly algorhm Frefly algorhm a naure nred meaheurc algorhm nally rooed by Yang [9]. I develoed by relcang he flahng llumnaon aern generaed by he frefly. Th bolumnecence wh vared flahng aern ued o eablh communcaon beween wo neghbourng nec, o earch for ray and alo o fnd mae []. The overall erformance exloraon me, eed of convergence, and omzaon accuracy of he deend on he OF, whch monor he earch. For a mnmzaon roblem, lumnance of a frefly condered baed on he followng relaon lumnance = /OF. A dealed exlanaon abou avalable n leraure [7-]. In, he lgh neny a a arcular dance d from he lgh ource X obey he nvere quare law. The lgh neny of a frefly I, a he dance d ncreae nerm of I / d. The movemen of he araced frefly oward a brgher frefly j can be deermned by he followng oon udae equaon; X = X β γ d j e X j X α. gnrand- ½ B 5 where X udaed oon of frefly, X nal oon of frefly, β γ d j e X j walk oeraor. X he aracon beween frefle, and B he Brownan uckoo earch echnque wa nally rooed by Yang and Deb [9]. I baed on he breedng rck of arac cuckoo. algorhm ha he followng aumon [7] Each cuckoo lay an egg and deo n an arbrarly choen ne The ne wh good urvved egg wll be aroved over o he nex generaon. uckoo egg normally hache everal day before han he ho egg. The cuckoo chck grow qucker and exel he ho egg. In a earch unvere, he number of ho ne fxed. The ho brd dcover he cuckoo egg wh a robably a [,]. When he egg dcovered, ho brd may elmnae from ne, or mly abandon he ne and buld a new ne. In, durng he omzaon earch, he new oluon deend on he old oluon X X and he earch gudng rocedure. manly In h work, he followng exreon are condered o fnd he new oluon X = X α B 6 Journal of Engneerng Scence and Technology Secal Iue /5
8 Sof omung Aroach o Degn PID onroller for Tank Lqud Level where α > he ucceedng e Imlemenaon Heurc algorhm baed PID conroller unng rocedure deced n Fg. 4. For a gven roce model, he algorhm fnd he omal K, K and K d value from he earch unvere D by mnmzng he objecve funcon. In he leraure, a number of objecve funcon are exng o uor heurc algorhm baed PID degn ak. In h work, OF framed by conderng he me doman conran M, and and he error ITAE, and ITSE a reened below: J mn = w M w w3 ITAE w4 ITSE 7 [ r - y ] d 5 5 ITAE = e d = 8 [ r - y ] d 5 5 ITSE = e d = 9 where he weghe are agned a w = w = w 3 = w 4 =. Inal arameer ITAE, ITSE Heurc Algorhm M, R _ e K K K d PID U c Nonlnear Syem Y Fg. 4. Sof comung baed PID conroller unng. Pror o he omzaon earch, neceary o agn he arameer for he heurc algorhm. The nal algorhm arameer condered n he rooed work reened n Table. The algorhm allowed o exlore he earch unvere unl he OF value mnmzed. Th rocedure reeaed me and he average value of he conroller arameer choen a he be oble conroller arameer value. Table. Inal arameer of heurc algorhm condered. Parameer Maxmum Number of 5 Ieraon Poulaon of agen N 5 Search dmenon D 3 Song crera J mn Number of ral Performance meaure M,, ITAE, ITSE value Journal of Engneerng Scence and Technology Secal Iue /5
9 9 K. Sureh Manc e al. 5. Reul and Dcuon The heurc algorhm baed conroller unng rocedure demonraed ung a,,, and algorhm ung Hoer ank and Shercal ank roce model. In order o erform a far comaron, all he algorhm are agned wh he ame nomnal arameer a hown n Table. 5.. Hoer ank model Inally, he rooed conroller degn rocedure mlemened ung he Hoer ank model dcued n Secon 3.. For h ank, Keavan e al. [] develoed four FOPTD model baed on four oerang regon. Inally, he FOPTD model of I regon condered and he conroller unng rocedure execued. The of comung aroach connuouly adju he value of K, K, and K d unl he objecve funcon J mn reache a mnmal value. Durng he omzaon earch, he baed aroach converge a 49 h eraon, baed earch converge a 73 rd eraon, baed earch converge a 55 h eraon and baed earch converge a 64 h eraon. From hee reul, noed ha, offer faer convergence comared o he alernave condered n h udy. The conroller arameer obaned ung he of comung echnque hown n Table 3. The erformance of he conroller eed wh an uny reference nu and an nu durbance of 5% of reference nu.5 nroduced a econd. The roce reone and he correondng conroller reone are reened n Fg. 5 and 6 reecvely. orreondng erformance meaure value, uch a M,, ITAE and ITSE are reened n Table 3. From h, one can oberve ha, he rooed mehod uor mooh reference rackng and effecve nu durbance rejecon oeraon. Table 3. onroller value and erformance meaure value for I Regon. Mehod K K K d M ITAE ITSE Proce ouu Reference Tme ec Fg. 5. Proce ouu reone wh I Regon model. Journal of Engneerng Scence and Technology Secal Iue /5
10 Sof omung Aroach o Degn PID onroller for Tank Lqud Level onroller ouu Tme ec Fg. 6. onroller ouu reone wh I Regon model. Smlar rocedure reeaed for oher FOPTD model of he Hoer ank yem and he reul are clearly reened n Table 4, 5, and 6 and Fg. 7 o. From hee reul, noed ha, he BW baed,, and algorhm offer beer reul comared wh he baed conroller. Table 4. onroller value and erformance meaure value for II Regon. Mehod K K K d M ITAE ITSE Table 5. onroller value and erformance meaure value for III Regon. Mehod K K K d M ITAE ITSE Table 6. onroller value and erformance meaure value for IV Regon. Mehod K K K d M ITAE ITSE Journal of Engneerng Scence and Technology Secal Iue /5
11 9 K. Sureh Manc e al.. Proce ouu Reference Tme ec Fg. 7. Proce ouu reone wh II Regon model..8 onroller ouu Tme ec Fg. 8. onroller Ouu reone wh II Regon model.. Proce ouu Reference Tme ec Fg. 9. Proce ouu reone wh III Regon model. Journal of Engneerng Scence and Technology Secal Iue /5
12 Sof omung Aroach o Degn PID onroller for Tank Lqud Level onroller ouu Tme ec Fg.. onroller ouu reone wh III Regon model.. Proce ouu Reference Tme ec Fg.. Proce ouu reone wh IV Regon model. onroller ouu Tme ec Fg.. onroller ouu reone wh IV Regon model. Fgure 3 reen he comaron of ITAE and ITSE for he Hoer ank yem regon I o IV. From h reul, oberved ha, comared wh he, he BW guded algorhm offer reduced error value. Parcularly, BW guded algorhm ouerform he alernave condered n h udy. I offer beer ITAE and ITSE value comared wh, and. Journal of Engneerng Scence and Technology Secal Iue /5
13 94 K. Sureh Manc e al. 4 5 ITAE ITSE 4 ITAE ITSE Error 8 6 Error 3 4 a I Regon ITAE ITSE 6 5 b II Regon ITAE ITSE 8 4 Error 6 4 Error 3 c III Regon d IV Regon Fg. 3. Error comaron for Hoer ye model. 5.. Shercal ank model The rooed conroller degn rocedure hen mlemened on he FOPTD model of hercal ank yem dcued n Secon 3.. Durng he conroller degn roce, he rocedure condered n Secon 5. reeaed wh he hercal ank model. The average earch eraon a follow, converge a 53 rd eraon, baed earch converge a 7 h eraon, converge a 8 nd eraon and converge a 94 h eraon Fnal conroller arameer condered n h udy hown n Table 7. The erformance of he PID conroller for hercal ank yem eed for reference rackng and nu durbance rejecon oeraon. The nu durbance value of.5 nroduced a 5 econd a deced n Fg. 4 and 5. The roce reone and he correondng conroller reone reened n Fg. 4 and 5 reecvely. orreondng erformance meaure value are reened n Table 7. The BW guded offer beer M and comared wh he, and. Fgure 6 how he aemen of ITAE and ITSE for he hercal ank yem. From h, noed ha, even hough he earch eraon large, reul n rovdng le error value when comared o oher mehod. Journal of Engneerng Scence and Technology Secal Iue /5
14 Sof omung Aroach o Degn PID onroller for Tank Lqud Level Table 7. Performance meaure value for hercal ank yem. Mehod K K K d M ITAE ITSE Proce ouu.5 Reference Tme ec Fg. 4. Proce ouu reone of hercal ank roce. onroller ouu Tme ec Fg. 5. onroller ouu reone of hercal ank roce. 7 6 ITAE ITSE 5 Error 4 3 Fg. 6. Error value of hercal ank roce. Journal of Engneerng Scence and Technology Secal Iue /5
15 96 K. Sureh Manc e al. 6. oncluon In h aer, PID conroller unng rooed for hoer ye ank and hercal ank yem ung,, and. The erformance of he rooed rocedure valdaed ung radonal roce meaure, uch a M,, ITAE, and ITSE. The reul how ha he -baed aroach offer a faer convergence when comared wh, and rooed BW guded and. However, even hough here a devaon n he erformance meaure value, BW guded algorhm offer overall ueror reul han uned conroller for boh he hoer ye ank and hercal ank yem. Reference. O Dwyer, A. 9. Handbook of PI and PID conroller unng rule. 3 rd Ed.. Imeral ollege Pre, London.. Johnon, M.A.; and Morad, M.H. 5. PID conrol: new denfcaon and degn mehod. Ed.. Srnger, London, UK. 3. Vjayan, V.; and Panda, R... Degn of a mle eon fler for mnmzng overhoo for low order rocee. ISA Tranacon, 5, Vjayan, V.; and Panda, R... Degn of PID conroller n double feedback loo for SISO yem wh e-on fler, ISA Tranacon, 54, Baha, M.; and Belarb, K.. Neural able adave conrol for a cla of nonlnear yem whou ue of a uervory erm n he conrol law. Journal of Engneerng Scence and Technology, 7, Beheer, A.H.. Wnd drven nducon generaor regulaon ung an yem aroach o Takag Sugeno fuzzy PID conrol. WSEAS Tranacon on Syem and onrol, 6, Manc, S.K.; Sarah, A.; and Rajnkanh, V. 4. Refned double earch omzaon mehodology o degn PID conroller for unable yem. Auralan Journal of Bac and Aled Scence, 8, Lu,.P.; Yang, J.-B.; and Whdborne, J.F. 8. Mulobjecve omzaon and conrol. Prnce Hall, New Delh, Inda. 9. Koeewaran, R.; Svakumar, L. 4. Lévy guded frefly algorhm baed unng of decenraled PI conroller of nonlnear mulvarable yem-coal gafer. Proceedng of Advance n onrol and Omzaon of Dynamcal Syem I, 3, Koeewaran, R.; Svakumar, L. 4. Performance evaluaon of omal PI conroller for ALSTOM gafer durng coal qualy varaon. Journal of Proce onrol, 4, Laha, K.; Rajnkanh,V.; and Surekha, P.M. 3. -Baed PID conroller degn for a cla of able and unable yem. ISRN Arfcal Inellgence, Vol. 3, Arcle ID 54367, age.. Keavan, S.M.; Padmeh, TVN.; and Shyan,.W. 4. onroller unng for nonlnear hoer roce ank a real me analy. Journal of Journal of Engneerng Scence and Technology Secal Iue /5
16 Sof omung Aroach o Degn PID onroller for Tank Lqud Level Engneerng Scence and Technology, EUREA 3 Secal Iue Augu, Rajnkanh, V.; and Laha, K.. Tunng and reunng of PID conroller for unable yem ung evoluonary algorhm. ISRN hemcal Engneerng, Vol., Arcle ID , age. 4. Rajnkanh, V.; and Laha, K.. onroller arameer omzaon for nonlnear yem ung enhanced bacera foragng algorhm. Aled omuaonal Inellgence and Sof omung, Volume, Arcle ID 464, age. 5. Kennedy, J.; and Eberhar, R Parcle warm omzaon. In Proceedng of IEEE nernaonal conference on neural nework, Sr Madhava Raja, N.; Sureh Manc, K.; and Rajnkanh, V. 3. Frefly algorhm wh varou randomzaon arameer: an analy. Proceedng of he 4h Inernaonal onference on Swarm, Evoluonary, and Memec omung SEMO '3, B. K. Pangrah, P. N. Suganhan, S. Da, and S. S. Dah, Ed., Lecure Noe n omuer Scence, Vol. 897, Yang, X.-S. 8. Naure-nred meaheurc algorhm. Lunver Pre, UK 8. Sr Madhava Raja, N.; Rajnkanh, V.; and Laha, K. 4. Ou baed omal mullevel mage hreholdng ung frefly algorhm. Modellng and Smulaon n Engneerng, Vol. 4, Arcle ID , 7 age 9. Yang, X.-S.; and Deb, S. 9. uckoo earch va Lévy flgh. Proceeng of World ongre on Naure & Bologcally Inred omung NaBI 9, IEEE Publcaon, USA, -4.. Koeewaran, R.; and Svakumar, L. 4. Omal unng of decenralzed PI conroller of nonlnear mulvarable roce ung archval baed mulobjecve arcle warm omzaon. Modellng and Smulaon n Engneerng, Vol. 4, Arcle ID 5476, 6 age. Journal of Engneerng Scence and Technology Secal Iue /5
Robust Controller Design Using Loop-Shaping and the Method of Inequalities
Robu Conroller Degn Ung H Loo-Shang and he Mehod of Inequale J F Whdborne, I Polehwae and D-W Gu Conrol Syem Reearch Dearmen of Engneerng Unvery of Leceer Leceer LE 7RH UK Ocober 99, reved July 99, Ocober
More informationThruster Modulation for Unsymmetric Flexible Spacecraft with Consideration of Torque Arm Perturbation
hruer Modulaon for Unymmerc Flexble Sacecraf wh onderaon of orue rm Perurbaon a Shgemune anwak Shnchro chkawa a Yohak hkam b a Naonal Sace evelomen gency of Jaan 2-- Sengen ukuba-h barak b eo Unvery 3--
More informationOptimized Controller Structured to Solve Aircraft Pitch Control Problem
ISSN (Prn) : 39-863 ISSN (Onlne) : 0975-404 R. Monca e al. / Inernaonal Journal of Engneerng and Technology (IJET) Opmzed Conroller Srucured o Solve Arcraf Pch Conrol Problem R. Monca, R. Monca Deparmen
More information(,,, ) (,,, ). In addition, there are three other consumers, -2, -1, and 0. Consumer -2 has the utility function
MACROECONOMIC THEORY T J KEHOE ECON 87 SPRING 5 PROBLEM SET # Conder an overlappng generaon economy le ha n queon 5 on problem e n whch conumer lve for perod The uly funcon of he conumer born n perod,
More informationOpen Chemical Systems and Their Biological Function. Department of Applied Mathematics University of Washington
Oen Chemcal Syem and Ther Bologcal Funcon Hong Qan Dearmen of Aled Mahemac Unvery of Wahngon Dynamc and Thermodynamc of Sochac Nonlnear Meococ Syem Meococ decron of hycal and chemcal yem: Gbb 1870-1890
More informationControl Systems. Mathematical Modeling of Control Systems.
Conrol Syem Mahemacal Modelng of Conrol Syem chbum@eoulech.ac.kr Oulne Mahemacal model and model ype. Tranfer funcon model Syem pole and zero Chbum Lee -Seoulech Conrol Syem Mahemacal Model Model are key
More informationLecture 18: The Laplace Transform (See Sections and 14.7 in Boas)
Lecure 8: The Lalace Transform (See Secons 88- and 47 n Boas) Recall ha our bg-cure goal s he analyss of he dfferenal equaon, ax bx cx F, where we emloy varous exansons for he drvng funcon F deendng on
More informationISSN MIT Publications
MIT Inernaonal Journal of Elecrcal and Insrumenaon Engneerng Vol. 1, No. 2, Aug 2011, pp 93-98 93 ISSN 2230-7656 MIT Publcaons A New Approach for Solvng Economc Load Dspach Problem Ansh Ahmad Dep. of Elecrcal
More informationRobustness Experiments with Two Variance Components
Naonal Insue of Sandards and Technology (NIST) Informaon Technology Laboraory (ITL) Sascal Engneerng Dvson (SED) Robusness Expermens wh Two Varance Componens by Ana Ivelsse Avlés avles@ns.gov Conference
More informationSimple fuzzy adaptive control for a class of nonlinear plants
Smle uzz adave conrol or a cla o nonlnear lan SAŠO BLAŽIČ, IGOR ŠKRJANC, DRAGO MAKO Facul o Elecrcal Engneerng Unver o Ljuljana ržaška 5, SI- Ljuljana SLOVENIA Arac: A uzz adave conrol algorhm reened n
More informationVariants of Pegasos. December 11, 2009
Inroducon Varans of Pegasos SooWoong Ryu bshboy@sanford.edu December, 009 Youngsoo Cho yc344@sanford.edu Developng a new SVM algorhm s ongong research opc. Among many exng SVM algorhms, we wll focus on
More informationNONLOCAL BOUNDARY VALUE PROBLEM FOR SECOND ORDER ANTI-PERIODIC NONLINEAR IMPULSIVE q k INTEGRODIFFERENCE EQUATION
Euroean Journal of ahemac an Comuer Scence Vol No 7 ISSN 59-995 NONLOCAL BOUNDARY VALUE PROBLE FOR SECOND ORDER ANTI-PERIODIC NONLINEAR IPULSIVE - INTEGRODIFFERENCE EQUATION Hao Wang Yuhang Zhang ngyang
More informationAdvanced time-series analysis (University of Lund, Economic History Department)
Advanced me-seres analss (Unvers of Lund, Economc Hsor Dearmen) 3 Jan-3 Februar and 6-3 March Lecure 4 Economerc echnues for saonar seres : Unvarae sochasc models wh Box- Jenns mehodolog, smle forecasng
More informationMOLP MOLP MOLP Corresponding author,
h://jnrm.rbau.ac.r پژوهشهای نوین در ریاضی دانشگاه آزاد اسالمی واحد علوم و تحقیقات * Correondng auhor, Emal: j.val@abrzu.ac.r. * تخمین x x x, c x e d.. A x B b.. A x B b, 2 2 2 A d,, e n2 cx, n A 2 mn2
More informationTesting of Markov Assumptions Based on the Dynamic Specification Test
Aca olechnca Hungarca Vol. 8 o. 3 0 Teng of Markov Aumon Baed on he Dnamc Secfcaon Te Jana Lenčuchová Dearmen of Mahemac Facul of Cvl Engneerng Slovak Unver of Technolog Bralava Radkého 83 68 Bralava Slovaka
More informationA Cell Decomposition Approach to Online Evasive Path Planning and the Video Game Ms. Pac-Man
Cell Decomoson roach o Onlne Evasve Pah Plannng and he Vdeo ame Ms. Pac-Man reg Foderaro Vram Raju Slva Ferrar Laboraory for Inellgen Sysems and Conrols LISC Dearmen of Mechancal Engneerng and Maerals
More informationFundamentals of PLLs (I)
Phae-Locked Loop Fundamenal of PLL (I) Chng-Yuan Yang Naonal Chung-Hng Unvery Deparmen of Elecrcal Engneerng Why phae-lock? - Jer Supreon - Frequency Synhe T T + 1 - Skew Reducon T + 2 T + 3 PLL fou =
More informationSSRG International Journal of Thermal Engineering (SSRG-IJTE) Volume 4 Issue 1 January to April 2018
SSRG Inernaonal Journal of Thermal Engneerng (SSRG-IJTE) Volume 4 Iue 1 January o Aprl 18 Opmal Conrol for a Drbued Parameer Syem wh Tme-Delay, Non-Lnear Ung he Numercal Mehod. Applcaon o One- Sded Hea
More informationPattern Classification (III) & Pattern Verification
Preare by Prof. Hu Jang CSE638 --4 CSE638 3. Seech & Language Processng o.5 Paern Classfcaon III & Paern Verfcaon Prof. Hu Jang Dearmen of Comuer Scence an Engneerng York Unversy Moel Parameer Esmaon Maxmum
More informationFoundations of State Estimation Part II
Foundaons of Sae Esmaon Par II Tocs: Hdden Markov Models Parcle Flers Addonal readng: L.R. Rabner, A uoral on hdden Markov models," Proceedngs of he IEEE, vol. 77,. 57-86, 989. Sequenal Mone Carlo Mehods
More informationCubic Bezier Homotopy Function for Solving Exponential Equations
Penerb Journal of Advanced Research n Compung and Applcaons ISSN (onlne: 46-97 Vol. 4, No.. Pages -8, 6 omoopy Funcon for Solvng Eponenal Equaons S. S. Raml *,,. Mohamad Nor,a, N. S. Saharzan,b and M.
More informationMatrix reconstruction with the local max norm
Marx reconrucon wh he local max norm Rna oygel Deparmen of Sac Sanford Unvery rnafb@anfordedu Nahan Srebro Toyoa Technologcal Inue a Chcago na@cedu Rulan Salakhudnov Dep of Sac and Dep of Compuer Scence
More informationFall 2010 Graduate Course on Dynamic Learning
Fall 200 Graduae Course on Dynamc Learnng Chaper 4: Parcle Flers Sepember 27, 200 Byoung-Tak Zhang School of Compuer Scence and Engneerng & Cognve Scence and Bran Scence Programs Seoul aonal Unversy hp://b.snu.ac.kr/~bzhang/
More informationFI 3103 Quantum Physics
/9/4 FI 33 Quanum Physcs Aleander A. Iskandar Physcs of Magnesm and Phooncs Research Grou Insu Teknolog Bandung Basc Conces n Quanum Physcs Probably and Eecaon Value Hesenberg Uncerany Prncle Wave Funcon
More informationNew M-Estimator Objective Function. in Simultaneous Equations Model. (A Comparative Study)
Inernaonal Mahemacal Forum, Vol. 8, 3, no., 7 - HIKARI Ld, www.m-hkar.com hp://dx.do.org/.988/mf.3.3488 New M-Esmaor Objecve Funcon n Smulaneous Equaons Model (A Comparave Sudy) Ahmed H. Youssef Professor
More informationA Nonlinear ILC Schemes for Nonlinear Dynamic Systems To Improve Convergence Speed
IJCSI Inernaonal Journal of Compuer Scence Iue, Vol. 9, Iue 3, No, ay ISSN (Onlne): 694-84 www.ijcsi.org 8 A Nonlnear ILC Scheme for Nonlnear Dynamc Syem o Improve Convergence Speed Hoen Babaee, Alreza
More informationLecture 4: Layering as Optimization Decomposition
CDS270: Omzaon Game and Layerng n Communcaon Newor Lecure 4: Layerng a Omzaon Decomoon Lun Chen 10/25/2006 Agenda Layerng a omzaon decomoon Layerng a omzaon decomoon Dual decomoon Cae udy Cro-layer rae
More informationA. Inventory model. Why are we interested in it? What do we really study in such cases.
Some general yem model.. Inenory model. Why are we nereed n? Wha do we really udy n uch cae. General raegy of machng wo dmlar procee, ay, machng a fa proce wh a low one. We need an nenory or a buffer or
More informationImproved Coupled Tank Liquid Levels System Based on Swarm Adaptive Tuning of Hybrid Proportional-Integral Neural Network Controller
Amercan J. of Engneerng and Appled Scences (4): 669-675, 009 ISSN 94-700 009 Scence Publcaons Improved Coupled Tan Lqud Levels Sysem Based on Swarm Adapve Tunng of Hybrd Proporonal-Inegral Neural Newor
More informationNPTEL Project. Econometric Modelling. Module23: Granger Causality Test. Lecture35: Granger Causality Test. Vinod Gupta School of Management
P age NPTEL Proec Economerc Modellng Vnod Gua School of Managemen Module23: Granger Causaly Tes Lecure35: Granger Causaly Tes Rudra P. Pradhan Vnod Gua School of Managemen Indan Insue of Technology Kharagur,
More informationCausality Consistency Problem for Two Different Possibilistic Causal Models
nernaonal ymoum on Medcal nformac and Fuzzy Technoloy (MF99. 82-89 Hano (Au. 999 Caualy Conency Problem for Two Dfferen Poblc Caual Model Koch YAMADA Dearmen of Plannn and Manaemen cence Naaoka Unvery
More informationTheoretical analysis on the transient characteristics of EDFA in optical. fiber communication
Journal of aled cence and engeerg novaon Vol. No. 04 ISSN (r: 33-906 ISSN (Onle): 33-9070 Theorecal analy on he ranen characerc of EDFA ocal fber communcaon Hao Zqang,a, L Hongzuo,b, Zhao Tg,c Changchun
More informationCooling of a hot metal forging. , dt dt
Tranen Conducon Uneady Analy - Lumped Thermal Capacy Model Performed when; Hea ranfer whn a yem produced a unform emperaure drbuon n he yem (mall emperaure graden). The emperaure change whn he yem condered
More informationSt. Joseph s College of Engineering, Chennai , India.
www.jrase.com Volume 4 Issue V, May 16 I Value: 13.98 ISSN: 31-9653 Inernaonal Journal for esearch n Appled Scence & Engneerng Opmal Mul- Level Thresholdng for olor Image Usng Kapur s Enropy and aceral
More informationMULTIPLE TARGET TRACKING USING CHEAP JOINT PROBABILISTIC DATA ASSOCIATION MULTIPLE MODEL PARTICLE FILTER IN SENSORS ARRAY
Inernaonal Journal of Arfcal Inellgence & Alcaon (IJAIA), Vol.3, No.4, July 22 MULTIPLE TARGET TRACKING USING CHEAP JOINT PROBABILISTIC DATA ASSOCIATION MULTIPLE MODEL PARTICLE FILTER IN SENSORS ARRAY
More informationDesigning a Markov Model for the Analysis of 2-tier Cognitive Radio Network
(IJACSA) Inernaonal Journal of Advanced Comuer Scence and Alcaon, Vol. 4, No. 6, 203 Degnng a Markov Model for he Analy of 2-er Cognve Rado Nework Tamal Chakrabory Dearmen of Elecronc and Telecommuncaon
More informationVECTOR AUTOREGRESSIVE MOVING AVERAGE MODEL
VECOR AUOREGRESSIVE MOVING AVERAGE MODEL Ran Kumar Paul Indan Agrculural Sac Reearch Inue Lbrar Avenue, New Delh rana@gmal.com Inroducon In man area of Agrculure relaed feld forecang roducon ver much eenal
More informationChapters 2 Kinematics. Position, Distance, Displacement
Chapers Knemacs Poson, Dsance, Dsplacemen Mechancs: Knemacs and Dynamcs. Knemacs deals wh moon, bu s no concerned wh he cause o moon. Dynamcs deals wh he relaonshp beween orce and moon. The word dsplacemen
More informationChapter 7 Stead St y- ate Errors
Char 7 Say-Sa rror Inroucon Conrol ym analy an gn cfcaon a. rann ron b. Sably c. Say-a rror fnon of ay-a rror : u c a whr u : nu, c: ouu Val only for abl ym chck ym ably fr! nu for ay-a a nu analy U o
More informationTHE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS
THE PREICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS INTROUCTION The wo dmensonal paral dfferenal equaons of second order can be used for he smulaon of compeve envronmen n busness The arcle presens he
More informationExistence and Uniqueness Results for Random Impulsive Integro-Differential Equation
Global Journal of Pure and Appled Mahemacs. ISSN 973-768 Volume 4, Number 6 (8), pp. 89-87 Research Inda Publcaons hp://www.rpublcaon.com Exsence and Unqueness Resuls for Random Impulsve Inegro-Dfferenal
More informationEP2200 Queuing theory and teletraffic systems. 3rd lecture Markov chains Birth-death process - Poisson process. Viktoria Fodor KTH EES
EP Queung heory and eleraffc sysems 3rd lecure Marov chans Brh-deah rocess - Posson rocess Vora Fodor KTH EES Oulne for oday Marov rocesses Connuous-me Marov-chans Grah and marx reresenaon Transen and
More informationChapter 6: AC Circuits
Chaper 6: AC Crcus Chaper 6: Oulne Phasors and he AC Seady Sae AC Crcus A sable, lnear crcu operang n he seady sae wh snusodal excaon (.e., snusodal seady sae. Complee response forced response naural response.
More informationPerformance Analysis for a Network having Standby Redundant Unit with Waiting in Repair
TECHNI Inernaonal Journal of Compung Scence Communcaon Technologes VOL.5 NO. July 22 (ISSN 974-3375 erformance nalyss for a Nework havng Sby edundan Un wh ang n epar Jendra Sngh 2 abns orwal 2 Deparmen
More informationCTLS 4 SNR. Multi Reference CTLS Method for Passive Localization of Radar Targets
دا ند رعا ل» ی و ناوری ج ه ع ی و ی «ع وم 79-85 9 C 4 * Donloaded from ad.r a 9:06 +040 on Frda arch nd 09-4 - - - - (9/06/4 : 90/05/7 : ) DOA. DOA. C DOA.. C.. C SR.. C.C DOA : ul Reference C ehod for
More informationH = d d q 1 d d q N d d p 1 d d p N exp
8333: Sacal Mechanc I roblem Se # 7 Soluon Fall 3 Canoncal Enemble Non-harmonc Ga: The Hamlonan for a ga of N non neracng parcle n a d dmenonal box ha he form H A p a The paron funcon gven by ZN T d d
More information6 December 2013 H. T. Hoang - www4.hcmut.edu.vn/~hthoang/ 1
Lecure Noe Fundamenal of Conrol Syem Inrucor: Aoc. Prof. Dr. Huynh Thai Hoang Deparmen of Auomaic Conrol Faculy of Elecrical & Elecronic Engineering Ho Chi Minh Ciy Univeriy of Technology Email: hhoang@hcmu.edu.vn
More informationGraduate Macroeconomics 2 Problem set 5. - Solutions
Graduae Macroeconomcs 2 Problem se. - Soluons Queson 1 To answer hs queson we need he frms frs order condons and he equaon ha deermnes he number of frms n equlbrum. The frms frs order condons are: F K
More informationMANY real-world applications (e.g. production
Barebones Parcle Swarm for Ineger Programmng Problems Mahamed G. H. Omran, Andres Engelbrech and Ayed Salman Absrac The performance of wo recen varans of Parcle Swarm Opmzaon (PSO) when appled o Ineger
More informationEECE 301 Signals & Systems Prof. Mark Fowler
EECE 31 Signal & Syem Prof. Mark Fowler Noe Se #27 C-T Syem: Laplace Tranform Power Tool for yem analyi Reading Aignmen: Secion 6.1 6.3 of Kamen and Heck 1/18 Coure Flow Diagram The arrow here how concepual
More informationV.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS
R&RATA # Vol.) 8, March FURTHER AALYSIS OF COFIDECE ITERVALS FOR LARGE CLIET/SERVER COMPUTER ETWORKS Vyacheslav Abramov School of Mahemacal Scences, Monash Unversy, Buldng 8, Level 4, Clayon Campus, Wellngon
More informationObjectives. Image R 1. Segmentation. Objects. Pixels R N. i 1 i Fall LIST 2
Image Segmenaon Obecves Image Pels Segmenaon R Obecs R N N R I -Fall LIS Ke Problems Feaure Sace Dsconnu and Smlar Classfer Lnear nonlnear - fuzz arallel seral -Fall LIS 3 Feaure Eracon Image Sace Feaure
More informationby Lauren DeDieu Advisor: George Chen
b Laren DeDe Advsor: George Chen Are one of he mos powerfl mehods o nmercall solve me dependen paral dfferenal eqaons PDE wh some knd of snglar shock waves & blow-p problems. Fed nmber of mesh pons Moves
More informationA Demand System for Input Factors when there are Technological Changes in Production
A Demand Syem for Inpu Facor when here are Technologcal Change n Producon Movaon Due o (e.g.) echnologcal change here mgh no be a aonary relaonhp for he co hare of each npu facor. When emang demand yem
More informationComparitive Analysis of P-I, I-P, PID and Fuzzy Controllers for Speed Control of DC Motor
Comarve Analyss of P-, -P, PD an Fuzzy Conrollers for ee Conrol of DC Moor M Venkaa Ganesh Bau 1, Dr. R.rnu Nak 2 1PG uen, De of EEE, Anhra Unversy[A], Vsakhaanam, na 2Asssan Professor, De of EEE, Anhra
More informationAn Improved Anti-windup Control Using a PI Controller
05 Third nernaional Conference on Arificial nelligence, Modelling and Simulaion An mroved Ani-windu Conrol Uing a P Conroller Kyohei Saai Graduae School of Science and Technology Meiji univeriy Kanagawa,
More informationOutline. Energy-Efficient Target Coverage in Wireless Sensor Networks. Sensor Node. Introduction. Characteristics of WSN
Ener-Effcen Tare Coverae n Wreless Sensor Newors Presened b M Trà Tá -4-4 Inroducon Bacround Relaed Wor Our Proosal Oulne Maxmum Se Covers (MSC) Problem MSC Problem s NP-Comlee MSC Heursc Concluson Sensor
More informationDecentralised Sliding Mode Load Frequency Control for an Interconnected Power System with Uncertainties and Nonlinearities
Inernaonal Research Journal of Engneerng and echnology IRJE e-iss: 2395-0056 Volume: 03 Issue: 12 Dec -2016 www.re.ne p-iss: 2395-0072 Decenralsed Sldng Mode Load Frequency Conrol for an Inerconneced Power
More informationu(t) Figure 1. Open loop control system
Open loop conrol v cloed loop feedbac conrol The nex wo figure preen he rucure of open loop and feedbac conrol yem Figure how an open loop conrol yem whoe funcion i o caue he oupu y o follow he reference
More informationA New Method for Computing EM Algorithm Parameters in Speaker Identification Using Gaussian Mixture Models
0 IACSI Hong Kong Conferences IPCSI vol. 9 (0) (0) IACSI Press, Sngaore A New ehod for Comung E Algorhm Parameers n Seaker Idenfcaon Usng Gaussan xure odels ohsen Bazyar +, Ahmad Keshavarz, and Khaoon
More informationLaplace Transformation of Linear Time-Varying Systems
Laplace Tranformaon of Lnear Tme-Varyng Syem Shervn Erfan Reearch Cenre for Inegraed Mcroelecronc Elecrcal and Compuer Engneerng Deparmen Unvery of Wndor Wndor, Onaro N9B 3P4, Canada Aug. 4, 9 Oulne of
More informationA Simulation Based Optimal Control System For Water Resources
Cy Unversy of New York (CUNY) CUNY Academc Works Inernaonal Conference on Hydronformacs 8--4 A Smulaon Based Opmal Conrol Sysem For Waer Resources Aser acasa Maro Morales-Hernández Plar Brufau Plar García-Navarro
More informationMultiple Failures. Diverse Routing for Maximizing Survivability. Maximum Survivability Models. Minimum-Color (SRLG) Diverse Routing
Mulple Falure Dvere Roung for Maxmzng Survvably One-falure aumpon n prevou work Mulple falure Hard o provde 100% proecon Maxmum urvvably Maxmum Survvably Model Mnmum-Color (SRLG) Dvere Roung Each lnk ha
More informationAn ant colony optimization solution to the integrated generation and transmission maintenance scheduling problem
JOURNAL OF OTOELECTRONICS AND ADVANCED MATERIALS Vol. 0, No. 5, May 008,. 46-50 An an colony omzaon soluon o he negraed generaon and ransmsson manenance schedulng roblem. S. GEORGILAKIS *,. G. VERNADOS
More informationPARTICLE SWARM OPTIMIZATION BASED ON BOTTLENECK MACHINE FOR JOBSHOP SCHEDULING
Proceedng 7 h Inernaonal Semnar on Indusral Engneerng and Managemen PARTICLE SWARM OPTIMIZATION BASED ON BOTTLENECK MACHINE FOR JOBSHOP SCHEDULING Rahm Mauldya Indusral Engneerng Deparmen, Indusral Engneerng
More informationGravity Segmentation of Human Lungs from X-ray Images for Sickness Classification
Gravy Segmenaon of Human Lung from X-ray Image for Sckne Clafcaon Crag Waman and Km Le School of Informaon Scence and Engneerng Unvery of Canberra Unvery Drve, Bruce, ACT-60, Aurala Emal: crag_waman@ece.com,
More informationNotes on the stability of dynamic systems and the use of Eigen Values.
Noes on he sabl of dnamc ssems and he use of Egen Values. Source: Macro II course noes, Dr. Davd Bessler s Tme Seres course noes, zarads (999) Ineremporal Macroeconomcs chaper 4 & Techncal ppend, and Hamlon
More informationMechanics Physics 151
Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm H ( q, p, ) = q p L( q, q, ) H p = q H q = p H = L Equvalen o Lagrangan formalsm Smpler, bu
More informationMechanics Physics 151
Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm Hqp (,,) = qp Lqq (,,) H p = q H q = p H L = Equvalen o Lagrangan formalsm Smpler, bu wce as
More informationDisplacement, Velocity, and Acceleration. (WHERE and WHEN?)
Dsplacemen, Velocy, and Acceleraon (WHERE and WHEN?) Mah resources Append A n your book! Symbols and meanng Algebra Geomery (olumes, ec.) Trgonomery Append A Logarhms Remnder You wll do well n hs class
More informationDesign of Recursive Digital Filters IIR
Degn of Recurve Dgtal Flter IIR The outut from a recurve dgtal flter deend on one or more revou outut value, a well a on nut t nvolve feedbac. A recurve flter ha an nfnte mule reone (IIR). The mulve reone
More informationControl Systems. Lecture 9 Frequency Response. Frequency Response
Conrol Syem Lecure 9 Frequency eone Frequency eone We now know how o analyze and deign yem via -domain mehod which yield dynamical informaion The reone are decribed by he exonenial mode The mode are deermined
More informationSolution in semi infinite diffusion couples (error function analysis)
Soluon n sem nfne dffuson couples (error funcon analyss) Le us consder now he sem nfne dffuson couple of wo blocks wh concenraon of and I means ha, n a A- bnary sysem, s bondng beween wo blocks made of
More informationOn computing differential transform of nonlinear non-autonomous functions and its applications
On compung dfferenal ransform of nonlnear non-auonomous funcons and s applcaons Essam. R. El-Zahar, and Abdelhalm Ebad Deparmen of Mahemacs, Faculy of Scences and Humanes, Prnce Saam Bn Abdulazz Unversy,
More informationEE241 - Spring 2003 Advanced Digital Integrated Circuits
EE4 EE4 - rn 00 Advanced Dal Ineraed rcus Lecure 9 arry-lookahead Adders B. Nkolc, J. Rabaey arry-lookahead Adders Adder rees» Radx of a ree» Mnmum deh rees» arse rees Loc manulaons» onvenonal vs. Ln»
More informationPavel Azizurovich Rahman Ufa State Petroleum Technological University, Kosmonavtov St., 1, Ufa, Russian Federation
VOL., NO. 5, MARCH 8 ISSN 89-668 ARN Journal of Engneerng and Aled Scences 6-8 Asan Research ublshng Nework ARN. All rghs reserved. www.arnjournals.com A CALCULATION METHOD FOR ESTIMATION OF THE MEAN TIME
More informationMotion in Two Dimensions
Phys 1 Chaper 4 Moon n Two Dmensons adzyubenko@csub.edu hp://www.csub.edu/~adzyubenko 005, 014 A. Dzyubenko 004 Brooks/Cole 1 Dsplacemen as a Vecor The poson of an objec s descrbed by s poson ecor, r The
More informationMALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES. Institute for Mathematical Research, Universiti Putra Malaysia, UPM Serdang, Selangor, Malaysia
Malaysan Journal of Mahemacal Scences 9(2): 277-300 (2015) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES Journal homeage: h://ensemumedumy/journal A Mehod for Deermnng -Adc Orders of Facorals 1* Rafka Zulkal,
More informationDesign of Cosine Modulated Filter Bank Using Unconstrained Optimization Technique
Inernaonal Journal of Scence and Research (IJSR) ISSN (Onlne): 39-764 Index Coerncus Value (3): 6.4 Imac Facor (3): 4.438 Desgn of Cosne Modulaed Fler Bank Usng Unconsraned Omzaon Technque Shaheen, Dnesh
More information[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5
TPG460 Reservor Smulaon 08 page of 5 DISCRETIZATIO OF THE FOW EQUATIOS As we already have seen, fne dfference appromaons of he paral dervaves appearng n he flow equaons may be obaned from Taylor seres
More informationResponse of MDOF systems
Response of MDOF syses Degree of freedo DOF: he nu nuber of ndependen coordnaes requred o deerne copleely he posons of all pars of a syse a any nsan of e. wo DOF syses hree DOF syses he noral ode analyss
More informationOnline Supplement for Dynamic Multi-Technology. Production-Inventory Problem with Emissions Trading
Onlne Supplemen for Dynamc Mul-Technology Producon-Invenory Problem wh Emssons Tradng by We Zhang Zhongsheng Hua Yu Xa and Baofeng Huo Proof of Lemma For any ( qr ) Θ s easy o verfy ha he lnear programmng
More informationEE Control Systems LECTURE 2
Copyrigh F.L. Lewi 999 All righ reerved EE 434 - Conrol Syem LECTURE REVIEW OF LAPLACE TRANSFORM LAPLACE TRANSFORM The Laplace ranform i very ueful in analyi and deign for yem ha are linear and ime-invarian
More informationHEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD
Journal of Appled Mahemacs and Compuaonal Mechancs 3, (), 45-5 HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Sansław Kukla, Urszula Sedlecka Insue of Mahemacs,
More informationMethod of upper lower solutions for nonlinear system of fractional differential equations and applications
Malaya Journal of Maemak, Vol. 6, No. 3, 467-472, 218 hps://do.org/1.26637/mjm63/1 Mehod of upper lower soluons for nonlnear sysem of fraconal dfferenal equaons and applcaons D.B. Dhagude1 *, N.B. Jadhav2
More informationUNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 2017 EXAMINATION
INTERNATIONAL TRADE T. J. KEHOE UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 27 EXAMINATION Please answer wo of he hree quesons. You can consul class noes, workng papers, and arcles whle you are workng on he
More informationFast Method for Two-dimensional Renyi s Entropy-based Thresholding
Adlan Ym al. / Inernaonal Journal on Compuer Scence and Engneerng IJCSE Fa Mehod for Two-dmenonal Reny Enropy-baed Threholdng Adlan Ym Yohhro AGIARA 2 Tauku MIYOSI 2 Yukar AGIARA 3 Qnargul Ym Grad. School
More informationModel-Based FDI : the control approach
Model-Baed FDI : he conrol approach M. Saroweck LAIL-CNRS EUDIL, Unver Llle I Olne of he preenaon Par I : model Sem, normal and no normal condon, fal Par II : he decon problem problem eng noe, drbance,
More informationDynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005
Dynamc Team Decson Theory EECS 558 Proec Shruvandana Sharma and Davd Shuman December 0, 005 Oulne Inroducon o Team Decson Theory Decomposon of he Dynamc Team Decson Problem Equvalence of Sac and Dynamc
More informationAn Effective League Championship Algorithm for the Stochastic Multi- Period Portfolio Optimization Problem
An Effecve League Champonhp Algorhm for he Sochac Mul- Perod Porfolo Opmzaon Problem Al Huenzadeh Kahan *1, Mohammad Eyvaz 2, Amn Abba-Pooya 3 Faculy of Indural and Syem Engneerng, Tarba Modare Unvery,
More informationPolymerization Technology Laboratory Course
Prakkum Polymer Scence/Polymersaonsechnk Versuch Resdence Tme Dsrbuon Polymerzaon Technology Laboraory Course Resdence Tme Dsrbuon of Chemcal Reacors If molecules or elemens of a flud are akng dfferen
More informationA New Generalized Gronwall-Bellman Type Inequality
22 Inernaonal Conference on Image, Vson and Comung (ICIVC 22) IPCSIT vol. 5 (22) (22) IACSIT Press, Sngaore DOI:.7763/IPCSIT.22.V5.46 A New Generalzed Gronwall-Bellman Tye Ineualy Qnghua Feng School of
More informationApproximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy
Arcle Inernaonal Journal of Modern Mahemacal Scences, 4, (): - Inernaonal Journal of Modern Mahemacal Scences Journal homepage: www.modernscenfcpress.com/journals/jmms.aspx ISSN: 66-86X Florda, USA Approxmae
More informationM. Y. Adamu Mathematical Sciences Programme, AbubakarTafawaBalewa University, Bauchi, Nigeria
IOSR Journal of Mahemacs (IOSR-JM e-issn: 78-578, p-issn: 9-765X. Volume 0, Issue 4 Ver. IV (Jul-Aug. 04, PP 40-44 Mulple SolonSoluons for a (+-dmensonalhroa-sasuma shallow waer wave equaon UsngPanlevé-Bӓclund
More informationComparison of Differences between Power Means 1
In. Journal of Mah. Analyss, Vol. 7, 203, no., 5-55 Comparson of Dfferences beween Power Means Chang-An Tan, Guanghua Sh and Fe Zuo College of Mahemacs and Informaon Scence Henan Normal Unversy, 453007,
More informationRobust Control of a Laboratory Circuit Thermal Plant
INTERNATIONAL JOURNAL OF MATEMATIAL MOELS AN METOS IN ALIE SIENES Robu onrol of a Laboraory rcu Theral lan Lbor ekař and er Valena Abrac A he Faculy of Aled Inforac, Toa Baa Unvery n Zlín, a laboraory
More informationOrdinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s
Ordnary Dfferenal Equaons n Neuroscence wh Malab eamples. Am - Gan undersandng of how o se up and solve ODE s Am Undersand how o se up an solve a smple eample of he Hebb rule n D Our goal a end of class
More informationLecture 11: Stereo and Surface Estimation
Lecure : Sereo and Surface Emaon When camera poon have been deermned, ung rucure from moon, we would lke o compue a dene urface model of he cene. In h lecure we wll udy he o called Sereo Problem, where
More informationSensitivity Based Optimal Real Power Rescheduling For Congestion Management Using Black Hole Algorithm
Auralan Journal of Bac and Appled Scence, 0(5) Ocober 206, age: 83-93 AUSTRALIAN JOURNAL OF BASIC AND ALIED SCIENCES ISSN:99-878 EISSN: 2309-844 Journal home page: www.abaweb.com Senvy Baed Opmal Real
More informationTHERMODYNAMICS 1. The First Law and Other Basic Concepts (part 2)
Company LOGO THERMODYNAMICS The Frs Law and Oher Basc Conceps (par ) Deparmen of Chemcal Engneerng, Semarang Sae Unversy Dhon Harano S.T., M.T., M.Sc. Have you ever cooked? Equlbrum Equlbrum (con.) Equlbrum
More information