Precision Tracking Control of a Piezoelectric-Actuated System
|
|
- Melina Stanley
- 5 years ago
- Views:
Transcription
1 Proceengs of the 5th Meterranean Conference on Control & Automaton, July 7-9, 7, Athens - Greece T3- Precson Trackng Control of a Pezoelectrc-Actuate System Jng-Chung Shen, Wen-Yuh Jywe, *Huan-Keng Chang An *Yu-Lng Shu Department of Automaton Engneerng, Natonal Formosa Unversty Huwe, Yunln, Tawan Emal: cshen@nfu.eu.tw *Department of Electrcal Engneerng, Natonal Yunln Unversty of Scence an Technology, Doulou, Yunln, Tawan. Abstract--In ths paper, precson trackng control of pezoelectrc-actuate systems s scusse. In orer to obtan precson trackng control, Prantl-Ishlnsk (PI) moel s use to moel the hysteress nonlnearty. Then, the nverse PI moel s use to reuce the hysteress nonlnearty an a slng-moe controller s use to compensate the remanng nonlnear uncertanty an sturbances. The pezoelectrc-actuate system s moele as a lnear moel couple wth a hysteress. The lnear moel s entfe then t s use to esgn the slng-moe controller. Fnally, expermental results are presente to verfy the usefulness of ths metho. I. INTRODUCTION Pezoelectrc actuators are becomng ncreasngly mportant n toay s postonng technology ue to the rurements of nanometer resoluton n splacement. It s well known that the pezoelectrc actuator has many avantages [] such as: ) there are no movng parts; ) the actuators can prouce large forces; 3) they have almost unlmte resoluton; ) the effcency s hgh; an 5) response s fast. However, t also has some ba characterstcs such as: ) hysteresys behavor; ) rft n tme; 3) temperature epenence. Hysteress characterstcs are generally nonfferentable nonlneartes an usually unknown, ths often lmts system performance va, e.g., unesrable oscllatons or nstablty. Therefore, t s ffcult to obtan an accurate traectory trackng control. Recently, several methos have been reporte for the traectory trackng control of a pezoelectrc-actuate system. Ge an Jouaneh [,3] use a combnaton of a proportonal ntegral ervatve (PID) feeback controller wth a feeforwar controller that nclue the Presach moel of hysteress. Ther expermental results showe that the trackng performance was mprove greatly. However, the result n [] s only val for a snusoal traectory an the metho n [3] nees to tran the moel by usng reference nput before the control starte. Ku et al. [7] combne a PID feeback controller wth an aaptve neural network feeforwar controller to control a nanopostoner that was actuate by a pezoelectrc actuator. Cruz- Hernanez an Haywar [] propose a varable phase metho. They utlze an operator to shft the peroc nput sgnal by a phase angle that epene on the ampltue of the nput sgnal, then use ths operator to reuce the hysteress nonlnearty. Huang an Ln [] propose a new hysteress moel base on two frst-orer transfer functons n parallel wth two parameters etermne from experment. Aaptve control s also an approach to the nverse control of plants wth hysteress behavor. Tao an Kokotovc [9] evelope an aaptve hysteress nverse an cascae t wth the system so that the effects of hysteress nonlnearty coul be reuce. Xu [] utlze an aaptve neural network nverse controller to compensate the hysteretc behavor of a pezoelectrc actuator an a PI controller n the outer loop to overcome the remanng nonlnear uncertanty. Furthermore, Hwang et al. [] utlze an offlne learne neural network moel to reuce the effect of hysteress then esgne a screte-tme varable structure controller to overcome the remanng uncertanty. They also renforce ths metho [5] by usng a recurrent neural network to mprove the control performance. However, the computaton buren of the controller that was esgne by ther metho s heavy. In the lterature [], Shen et al. utlze nteger slng-moe controller to compensate the nonlnearty an sturbances n pezoelectrc actuate systems. In ths paper, Prantl-Ishlnsk (PI) [3,] moel s use to moel the hysteress nonlnearty. Then, the nverse PI moel s use to reuce the hysteress nonlnearty an a slng-moe controller s use to compensate the remanng nonlnear uncertanty an sturbances. The man avantages of PI moel over the Presach moel are that t s less complex an ts nverse can be compute analytcally. In ths stuy, the slng-moe uncertanty (sturbance) estmaton an compensaton scheme [,,] s use to esgn the feeback controller. Fnally, ths esgn metho was apple to the moton control of a nano-stage. The expermental results are presente that verfy the usefulness of ths metho. II. EXPERIMENTAL SETUP The expermental apparatus of ths stuy s a one-axs nano-stage. Actuaton of ths nano-stage s one wth a pezoelectrc actuator (PSt5/7/ Vs, Pezomechank
2 Proceengs of the 5th Meterranean Conference on Control & Automaton, July 7-9, 7, Athens - Greece T3- GmbH) wth a nomnal expanson of μ m (at 5V). Capactance-type gap sensors (D-5, Pezomechank GmbH) are use for poston measurement. The measure range of the gap sensor s extene by a factor of three. Therefore, total ranges of the gap sensors are 5 μ m wth a senstvty of.v / μm. Control of ths nano-stage s one wth a controller boar wth a Power PC central processng unt (DS3, SPACE GmbH). The samplng rate of the control algorthm was KHz. The resoluton of A/D converters s -bt. n H[ x]( k) = w H [ x, y ]( k () = r ) where w are the weghtngs, r are the threshol values wth = r < r <... < rn an y are the ntal states. The control nput threshol values r are usually chosen to be ual ntervals. To fn the parameters of hysteress moel, the responses of the actuator must be measure expermentally. Then the values of r are selecte an the weght parameters w are foun by ong a least square ft of uaton () to the response ata of actuator. Fg. 3 shows the hysteress response of the actuator an ts PI moel (n=). Fg.. Photograph of the nano-stage. III. SYSTEM MODELING AND CONTROLLER DESIGN Ths secton escrbes the way to moel the pezoelectrc actuate system an how to esgn the feeback controller. Frstly, PI hysteress moel s use to moel the hysteress nonlnearty of actuator an the nverse of ths moel s use to cancel out the hysteress nonlnearty. Then the lnearze moel of the pezoelectrc actuate system s estmate an an ntegral slng moe controller s esgne to compensate the remanng uncertantes an sturbances. 3. Prantl-Ishlns Hysteress Moel The elementary operator n the PI hysteress moel s a backlash operator (see Fg. ). A backlash operator s efne by y( k + ) = H r[ x, y]( k + ) () = max{ x( k + ) r,mn{ x( k + ) + r, y( k)}} where x s the control nput, y s the output of actuator, r s the magntue of backlash. The ntal conton of () s gven by y ( ) = max{ x() r,mn{ x() + r, y}} Where ntal state y R, an s usually but not necessarly ntalze to. Hysteretc nonlneartes can be moele by a lnearly weghte superposton of many backlash operators wth fferent threshol an weght values, Dsplacement (μm) Fg.. Backlash operator measure moel Input Voltage (V) Fg. 3. Measure hysteress nonlnearty an ts moel. 3. Inverse Moel of Hysteretc Nonlneartes The nverse of the moel () s also a PI type an s gven by H n [ y]( = w' H [ y, y' ](. (3) = r ' The nverse moel parameters can be foun by
3 Proceengs of the 5th Meterranean Conference on Control & Automaton, July 7-9, 7, Athens - Greece T3- w ' = ; w w w', = ( w + w )( w + w ) = = y' = w y + w y, = n = = + r ' = w ( r r ) ; = Kn The nverse moel (3) can be use to cancel out the hysteress nonlnearty of pezoelectrc actuator as shown n Fg.. Fg. 5 shows the nverse compensate result. It can be seen that most hysteress nonlnearty s compensate. Output splacement (μm) Inverse Hysteress moel Pezoelectrc actuator hysteress Actuator Lnearzaton Fg.. Pezoelectrc actuator lnearzaton. Lnear Plant Dynamcs - Desre splacement (μm) Fg. 5. Result of nverse compensaton. 3.3 Open Loop Characterstcs an Moel In orer to esgn the feeback controller properly, the open-loop characterstcs of the pezoelectrc actuate systems are nvestgate. Frstly, the fruency-response experments are conucte. When measurng the fruency response, a bas voltage was ae to push the stage platform to the center of the movng range. Then, a ranom exctaton sgnal was sent to the pezoelectrc actuator an the splacement s measure by the gap sensor. The test results are epcte n Fg.. As seen n Fg., the banwth s about Hz. A lnear ynamc moel, represente as a thr orer transfer functon was curve-ftte to the measure fruency response. The response of the moel also shows on Fg.. The poles of the moel are -3 an -593 ± 35 respectvely. The omnant pole s -3 an the others poles are more than tmes faster than ths pole. Therefore, t s possble to moel ths system by a frst orer transfer functon. Base on the results of nvestgaton, the lnear plant ynamcs of ths pezoelectrc-actuate system can be moele by a frst orer uncertan lnear system. Thus, the moel of ths system can be moele as the block agram shows n Fg. 7. Where u s the nput of the nverse moel, represents the sturbance an the frst orer fferental uaton T ( + Δ( ) y& + y = v, () escrbes the ynamc behavor of the system. Where T s the nomnal tme constant an Δ ( represents the uncertanty. Parameter T an the boun of Δ ( can be etermne by ong step response tests at varous workng ponts. From Fg. 7, v can be represente as v = u + N( + (, (5) where N ( represents the remanng nonlnear uncertan part of the hysteress. From () an (5), the followng ynamc uaton can be obtane: y u y& = + + φ( () T T where Δ( y u) + N + φ ( = T ( + Δ) represents the sturbance an uncertantes. Ampltue Phase (eg) u Fruency response Fruency (ra/s) moel measure Fg.. Fruency response of the system H x H v T ( + Δ( ) y& + y= v Fg. 7. Moel of the pezoelectrc-actuate system. y
4 Proceengs of the 5th Meterranean Conference on Control & Automaton, July 7-9, 7, Athens - Greece T3-3. Integral Slng-Moe Controller Desgn Ths subsecton escrbes how to esgn the ntegral slng-moe controller. In ths stuy, the slng moe sturbance (uncertanty) estmaton an compensaton scheme s apple to esgn the close-loop controller for the pezoelectrc-actuate system. Let y be the esre splacement, whch may be tme varyng. Defne e = y y (7) as the trackng error. From () an (7), the error ynamcs can be obtane as y u e& = y& y& = y& + φ(. () T T Let the control law be u = y + T ( λ e + y& ) + u (9) where λ s the feeback gan to be esgne so that the error ynamc wll have the esre response whle the system s free of sturbance an uncertanty, an u s the uncertanty an the sturbance compensaton component yet to be etermne by the slng moe estmator. Defnng the swtchng functon as S = z e () wth z& = λe u + ψ, z() = e() () T where z s the state varable of ths auxlary process, ψ s the swtchng acton assgne as f S > ψ = ηsgn( S), sgn( S) = f S < () f S = an the postve constant η satsfes η > φ( (3) Ensurng a slng regme S = rures conseraton of the Lyapunov canate V =.5S. Dfferentatng V wth respect to tme an substtutng (-) to obtan V& = S( z& e& ) = S[ ( η sgn( S) + φ( )] () From (3) an (), t s seen that V & < f S (5) Thus the slng conton s satsfe. Note that z ( ) = e(), therefore S = for = t () From (5) an (), t can be conclue that the slng moe exsts at all tmes,.e., t (7) Denote the uvalent value of ψ as S & = for all ψ. Snce S & =, ψ can be etermne from (), () an (): ψ = φ () Ths means that the uvalent value of ψ uals the uncertantes an sturbances. By selectng u = Tψ, the uncertantes an sturbances can be compensate. It was shown n [] that the uvalent ψ s ual to the average value measure by a frst-orer lnear flter wth the swtche acton as ts nput. Therefore, u can be wrtten as u = Tψ av = Tψ (9) wth τ ψ& av + ψ av = ψ. () The tme constant τ shoul be mae small enough that the plant an sturbance ynamcs are allowe to pass through the flter wthout sgnfcant phase elay. Substtutng (9) an (9) nto () yels e& + λe = ψ φ, () whch s uvalent to e& + λe =. Ths uaton represents the esre error ynamcs. IV. EXPERIMENTAL RESULTS In orer to entfy the nomnal tme constant T an estmate the boun of Δ, step response tests at varous workng ponts are execute. From the test results, t was foun that the tme constant of ths stage les between. an 3.5 ms. When esgnng the controller, λ s chosen as large as possble to obtan wer banwth. The fnal controller parameters are chosen as follows: λ = 55, η = an τ =.. In orer to check the performance of ths control metho, snusoal waves wth 9 μm ampltue an fferent fruences range from -Hz were use to test the trackng performance. Fg. epcts the trackng results of Hz sgnal. Table summarzes the maxmum trackng errors of trackng test at fferent fruences. Comparson was mae wth the ntegral slng-moe controller (wthout nverse moel compensaton). It can be foun from Table that the nverse moel compensaton can mprove the trackng accuracy sgnfcantly. Fg. 9 shows the trackng results of a mult-fruency, nonstatonary ynamc moton profle (moulate an Hz snusos wth varyng ampltues). The maxmum trackng error s.39μm. It can be seen that the output stll can track the reference very well. For etermnng the precson of the trackng control, a 5Hz sne wave wth nm ampltue was use to comman the stage. Fg. shows the traectory followng results of ths stage to nm ampltue nput. For very small ampltue of reference poston of nm whch s almost the same as the magntue of nose, the measure poston stll tracke the reference farly well. It can be conclue that the trackng resoluton s about nm. In orer to etermne the close-loop banwth of ths stage, a 9 μm magntue snusoal sgnal was comman to ths nano-stage. The fruency of the comman moton was slowly ncrease untl an attenuaton of.77 n the
5 Proceengs of the 5th Meterranean Conference on Control & Automaton, July 7-9, 7, Athens - Greece T3- trackng magntue. The measure banwth was approxmately Hz. V. CONCLUSIONS Ths artcle reporte the precson trackng control of a pezoelectrc actuate moton stage. Frstly, Prantl- Ishlnsk (PI) moel s use to moel the hysteress nonlnearty of the actuator. Then, the nverse PI moel was use to reuce the hysteress nonlnearty an a slng-moe controller was use to compensate the remanng nonlnear uncertanty an sturbances. The most mportant features of PI moel are that t s less complex an ts nverse can be compute analytcally. Experments on trackng the snusoal waveforms an nonstatonary ynamc moton profle were carre out. From the result t can be seen that the performance of ths controller s goo an nm trackng resoluton can be obtane. ACKNOWLEDGEMENTS The authors want to thank the Natonal Scence Councl of Tawan for fnancal support prove uner grant no. NSC95--E-5-. REFERENCES [] J. Cruz-Hernanez an V. Haywar, Phase Control Approach to Hysteress Reucton, IEEE Transacton on Control Systems Technology, Vol. 9, pp. 7-,. [] P. Ge an M. Jouaneh, Trackng Control of a Pezoceramc Actuators, IEEE Transactons on Control System Technology, Vol., pp. 9-, 99. [3] P. Ge an M. Jouaneh, Generalze presach moel for hysteress nonlnearty of pezoceramc actuators, Precson Engneerng, Vol., pp. 99-, 997. [] Y. C. Huang an D. Y. Ln, Ultra-Fne Trackng Control on Pezoelectrc Actuate Moton Stage Usng Pezoelectrc Hysteretc Moel, Asan Journal of Control, Vol., pp.-,. [5] C. L. Hwang an C. Jan, A Renforcement Dscrete Neuro-Aaptve Control for Unknown Pezoelectrc Actuator Systems Wth Domnant Hysteress, IEEE Transactons on Neural Networks, Vol., pp. -7, 3. [] C. L. Hwang, C. Jan an Y. H. Chen, Pezomechancs Usng Intellgent Varable- Structure Control, IEEE Transactons on Inustral Electroncs, Vol., pp. 7-59,. [7] S. S. Ku, U. Pnsopon, S. Cetnkunt an S. Nakama, Desgn, Fabrcaton, an Real-Tme Neural Network Control of a Three Degrees of Freeom Nanopostoner, IEEE/ASME Transactons on Mechatroncs, Vol. 5, pp. 73-,. [] J. C. Shen, H Control an Slng Moe Control of Magnetc Levtaton System, Asan Journal of Control, Vol., pp ,. [9] G. Tao an P. V. Kokotovc, Aaptve Control of Plants wth Unknown Hysteress, IEEE Transactons on Automatc Control, Vol., pp. -, 995. []V. Utkn, J. Gulner an J. Sh, Slng Moe Control n Electromechancal Systems, Taylor & Francs, Pastow, 999. []J. H. Xu, Neural Network Control of a Pezo Tool Postoner, Proceengs of Canaan Conference on Electrcal an Computer Engneerng, pp , 993. []J. C. Shen, W. Y. Jywe, C. H. Lu, Y. T. Jan an Y. F. Deng, Integral Slng-Moe Control of a Pezoelectrc-Actuate Moton Stage, Proceengs of the th IFAC Worl Congress, Prague, 5. [3]W. T. Ang, F. A. Garmon, P. K. Khosla an C. N. Rvere, Moelng Rate-epenent Hysteress n Pezoelectrc Actuators, Proceengs of the 3 IEEE/RES Intl. Conference on Intellgent Robots an Systems, Las Vegas, pp , 3. []K. Kuhnen, Moelng, Ientfcaton an Compensaton of Complex Hysteretc Nonlneartes A Mofe Prantl-Ishlnsk Approach, European Journal of Control, Vol. 9, No., pp. 7-7, 3. Error(μm) Dsplacement(μm) Table. Results of trackng test. Maxmum Trackng Error ( μ m ) Fruency (Hz) Wthout Inverse Moel Wth Inverse Moel.(.7%).(.9%) 5.9(%).3(.33%).(.5%).59(.%) 5.9(.%).(.9%).(.%).3(.5%) mea. ref Tme(secon) Fg.. Result of trackng a Hz sne wave.
6 Proceengs of the 5th Meterranean Conference on Control & Automaton, July 7-9, 7, Athens - Greece T3- Error(μm) Dsplacement(μm).. -. Nonstatonary Profle Trackng.... Ref. Mea Tme(secon) Fg. 9. Result of trackng a mult fruency, nonstatonary ynamc moton profle. Dsplacement(μm) Tme(secon) Fg.. Trackng resoluton of the nano-stage.
Responsiveness Improvement of Idling Speed Control for Automotive Using SMC
J. Software Engneerng & Applcatons, 009, : 309-315 o:10.436/jsea.009.5040 Publshe Onlne December 009 (http://www.scrp.org/journal/jsea) 309 Responsveness Improvement of Ilng Spee Control for Automotve
More informationNew Liu Estimators for the Poisson Regression Model: Method and Application
New Lu Estmators for the Posson Regresson Moel: Metho an Applcaton By Krstofer Månsson B. M. Golam Kbra, Pär Sölaner an Ghaz Shukur,3 Department of Economcs, Fnance an Statstcs, Jönköpng Unversty Jönköpng,
More informationStudy 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 informationA 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 informationCHAPTER 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 informationTransfer 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 informationWHY NOT USE THE ENTROPY METHOD FOR WEIGHT ESTIMATION?
ISAHP 001, Berne, Swtzerlan, August -4, 001 WHY NOT USE THE ENTROPY METHOD FOR WEIGHT ESTIMATION? Masaak SHINOHARA, Chkako MIYAKE an Kekch Ohsawa Department of Mathematcal Informaton Engneerng College
More informationTORQUE-SPEED ADAPTIVE OBSERVER AND INERTIA IDENTIFICATION WITHOUT CURRENT TRANSDUCERS FOR CONTROL OF ELECTRIC DRIVES
PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Seres A, OF THE ROMANIAN ACADEMY Volume 4, Number 3/2003, pp.000-000 TORQUE-SPEED ADAPTIVE OBSERVER AND INERTIA IDENTIFICATION WITHOUT CURRENT TRANSDUCERS
More informationDesign of Optimum Controllers for Gas Turbine Engines
Desgn of Optmum Controllers for Gas Turbne Engnes Junxa Mu 1, Dav Rees 1, Cer Evans 1 an Neophytos Chras 1 School of Electroncs, Unversty of Glamorgan Pontypr, CF37 1DL, Wales, UK Phone: +44() 1443 4859
More informationENGI9496 Lecture Notes Multiport Models in Mechanics
ENGI9496 Moellng an Smulaton of Dynamc Systems Mechancs an Mechansms ENGI9496 Lecture Notes Multport Moels n Mechancs (New text Secton 4..3; Secton 9.1 generalzes to 3D moton) Defntons Generalze coornates
More informationHigh-Order Hamilton s Principle and the Hamilton s Principle of High-Order Lagrangian Function
Commun. Theor. Phys. Bejng, Chna 49 008 pp. 97 30 c Chnese Physcal Socety Vol. 49, No., February 15, 008 Hgh-Orer Hamlton s Prncple an the Hamlton s Prncple of Hgh-Orer Lagrangan Functon ZHAO Hong-Xa an
More informationDynamic Modeling of a Synchronous Generator Using T-S Fuzzy Approach
e-issn : 0975-0 Hee-Jn Lee / Internatonal Journal of Engneerng an echnology (IJE) Dynamc oelng of a Synchronous Generator Usng -S Fuzzy Approach Hee-Jn Lee Department of Electronc Engneerng Kumoh Natonal
More informationCONTRAST ENHANCEMENT FOR MIMIMUM MEAN BRIGHTNESS ERROR FROM HISTOGRAM PARTITIONING INTRODUCTION
CONTRAST ENHANCEMENT FOR MIMIMUM MEAN BRIGHTNESS ERROR FROM HISTOGRAM PARTITIONING N. Phanthuna 1,2, F. Cheevasuvt 2 and S. Chtwong 2 1 Department of Electrcal Engneerng, Faculty of Engneerng Rajamangala
More informationOutput Feedback Adaptive Robust Control of Uncertain Linear Systems With Disturbances
Bn Yao 1 School of Mechancal Engneerng, Purdue Unversty, West Lafayette, IN 47907 e-mal: byao@purdue.edu L Xu Research and Advanced Engneerng, Ford Motor Company, Dearborn, MI 48124 Output Feedback Adaptve
More informationUncertainty in measurements of power and energy on power networks
Uncertanty n measurements of power and energy on power networks E. Manov, N. Kolev Department of Measurement and Instrumentaton, Techncal Unversty Sofa, bul. Klment Ohrdsk No8, bl., 000 Sofa, Bulgara Tel./fax:
More informationAnalytical classical dynamics
Analytcal classcal ynamcs by Youun Hu Insttute of plasma physcs, Chnese Acaemy of Scences Emal: yhu@pp.cas.cn Abstract These notes were ntally wrtten when I rea tzpatrck s book[] an were later revse to
More informationAdaptive Consensus Control of Multi-Agent Systems with Large Uncertainty and Time Delays *
Journal of Robotcs, etworkng and Artfcal Lfe, Vol., o. (September 04), 5-9 Adaptve Consensus Control of Mult-Agent Systems wth Large Uncertanty and me Delays * L Lu School of Mechancal Engneerng Unversty
More informationA Note on the Numerical Solution for Fredholm Integral Equation of the Second Kind with Cauchy kernel
Journal of Mathematcs an Statstcs 7 (): 68-7, ISS 49-3644 Scence Publcatons ote on the umercal Soluton for Freholm Integral Equaton of the Secon Kn wth Cauchy kernel M. bulkaw,.m.. k Long an Z.K. Eshkuvatov
More informationCOEFFICIENT DIAGRAM: A NOVEL TOOL IN POLYNOMIAL CONTROLLER DESIGN
Int. J. Chem. Sc.: (4), 04, 645654 ISSN 097768X www.sadgurupublcatons.com COEFFICIENT DIAGRAM: A NOVEL TOOL IN POLYNOMIAL CONTROLLER DESIGN R. GOVINDARASU a, R. PARTHIBAN a and P. K. BHABA b* a Department
More informationDiscrete time state feedback with setpoint control, actual state observer and load estimation for a tumor growth model
th IEEE Internatonal Symposum on Apple Computatonal Intellgence an Informatcs May -4, 06 mşoara, Romana Dscrete tme state feeback wth setpont control, actual state observer an loa estmaton for a tumor
More informationNeural Network PID Algorithm for a Class of Discrete-Time Nonlinear Systems
Neural Network PID Algorthm for a Class of Dscrete-Tme Nonlnear Systems https://do.org/0.99/joe.v40.794 Hufang Kong ", Yao Fang Hefe Unversty of Technology, Hefe, P.R.Chna konghufang@6.com Abstract The
More informationINVERSE FEEDFORWARD CONTROLLER FOR COMPLEX HYSTERETIC NONLINEARITIES IN SMART-MATERIAL SYSTEMS
INVERSE FEEDFORWARD CONTROLLER FOR COMPLEX HYSTERETIC NONLINEARITIES IN SMART-MATERIAL SYSTEMS K. Kuhnen, H. Janocha Laboratory for Process Automaton (LPA), Saarland Unversty, Im Stadtwald, Buldng 13,
More informationAdaptive 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 informationDesign and Optimization of Fuzzy Controller for Inverse Pendulum System Using Genetic Algorithm
Desgn and Optmzaton of Fuzzy Controller for Inverse Pendulum System Usng Genetc Algorthm H. Mehraban A. Ashoor Unversty of Tehran Unversty of Tehran h.mehraban@ece.ut.ac.r a.ashoor@ece.ut.ac.r Abstract:
More informationIdentification of Instantaneous Modal Parameters of A Nonlinear Structure Via Amplitude-Dependent ARX Model
Identfcaton of Instantaneous Modal Parameters of A Nonlnear Structure Va Ampltude-Dependent ARX Model We Chh Su(NCHC), Chung Shann Huang(NCU), Chng Yu Lu(NCU) Outlne INRODUCION MEHODOLOGY NUMERICAL VERIFICAION
More informationThe 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), it produces a response (output function g (x)
Lnear Systems Revew Notes adapted from notes by Mchael Braun Typcally n electrcal engneerng, one s concerned wth functons of tme, such as a voltage waveform System descrpton s therefore defned n the domans
More informationIMPROVED TRAJECTORY CONTROL FOR AN INTERIOR PERMANENT MAGNET SYNCHRONOUS MOTOR DRIVE WITH EXTENDED OPERATING LIMIT
IMPROVED TRAJECTORY CONTRO FOR AN INTERIOR PERMANENT MAGNET SYNCHRONOUS MOTOR DRIVE WITH EXTENDED OPERATING IMIT Abstract M. E. Haue,. Zhong an M. F. Rahman School of Electrcal Engneerng an Telecommuncaton
More informationParameter 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 informationAPPLICATION OF A SLIDING MODE OBSERVER FOR SENSORLESS OPERATION OF SWITCHED RELUCTANCE MOTORS. Stefan Brock
Preprnt of the paper publshed n: Archves of Electrcal Engneerng Vol. 56, no 2 (2007) pp: 163--172 http://www.aee.put.poznan.pl/ DOI: http://dx.do.org/10.6084/m9.fgshare.729075 Abstract APPLICATION OF A
More informationActive Vibration Control Based on a 3-DOF Dual Compliant Parallel Robot Using LQR Algorithm
The 009 IEEE/RSJ Internatonal Conference on Intellgent Robots an Systems October -5, 009 St. Lous, USA Actve Vbraton Control Base on a 3-DOF Dual Complant Parallel Robot Usng LQR Algorthm Yuan Yun an Yangmn
More informationOn the Coordinated Control of Multiple HVDC Links: Modal Analysis Approach
R. Erksson an V. Knazkns / GMSARN nternatonal Journal 2 (2008) 15-20 On the Coornate Control of Multple HVDC Lnks: Moal Analyss Approach Robert Erksson an Valerjs Knazkns Abstract There are several possbltes
More informationArmy Ants Tunneling for Classical Simulations
Electronc Supplementary Materal (ESI) for Chemcal Scence. Ths journal s The Royal Socety of Chemstry 2014 electronc supplementary nformaton (ESI) for Chemcal Scence Army Ants Tunnelng for Classcal Smulatons
More informationNote 10. Modeling and Simulation of Dynamic Systems
Lecture Notes of ME 475: Introducton to Mechatroncs Note 0 Modelng and Smulaton of Dynamc Systems Department of Mechancal Engneerng, Unversty Of Saskatchewan, 57 Campus Drve, Saskatoon, SK S7N 5A9, Canada
More informationENTROPIC QUESTIONING
ENTROPIC QUESTIONING NACHUM. Introucton Goal. Pck the queston that contrbutes most to fnng a sutable prouct. Iea. Use an nformaton-theoretc measure. Bascs. Entropy (a non-negatve real number) measures
More informationExperimental Study on Ultimate Strength of Flexural-Failure-Type RC Beams under Impact Loading
xpermental Study on Ultmate Strength of Flexural-Falure-Type RC Beams under Impact Loadng N. Ksh 1), O. Nakano 2~, K. G. Matsuoka 1), and T. Ando 1~ 1) Dept. of Cvl ngneerng, Muroran Insttute of Technology,
More information829. 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 informationVisualization of 2D Data By Rational Quadratic Functions
7659 Englan UK Journal of Informaton an Computng cence Vol. No. 007 pp. 7-6 Vsualzaton of D Data By Ratonal Quaratc Functons Malk Zawwar Hussan + Nausheen Ayub Msbah Irsha Department of Mathematcs Unversty
More informationModeling and Indirect Force Control of Linear Switched Reluctance Motor
Internatonal Conference on Control, Engneerng & Informaton Technology (CEIT 4) Proceengs - Copyrght IPCO-4, 345-35 ISSN 356-568 Moelng an Inrect orce Control of near Swtche Reluctance Motor ZRNE Wa, KEDIRI
More informationSIMPLIFIED MODEL-BASED OPTIMAL CONTROL OF VAV AIR- CONDITIONING SYSTEM
Nnth Internatonal IBPSA Conference Montréal, Canaa August 5-8, 2005 SIMPLIFIED MODEL-BASED OPTIMAL CONTROL OF VAV AIR- CONDITIONING SYSTEM Nabl Nassf, Stanslaw Kajl, an Robert Sabourn École e technologe
More informationA Particle Swarm approach for the Design of Variable Structure Stabilizer for a Nonlinear Model of SMIB System
A Partcle Swarm approach for the Desgn of Varable Structure Stablzer for a Nonlnear Moel of SMIB System NAI A AL-MUSABI**, ZAKARIYA M AL-HAMOUZ*, HUSSAIN N AL-DUWAISH* ** The Petroleum Insttute, Electrcal
More informationSummary. Introduction
Sesmc reflecton stuy n flu-saturate reservor usng asymptotc Bot s theory Yangun (Kevn) Lu* an Gennay Goloshubn Unversty of Houston Dmtry Sln Lawrence Bereley Natonal Laboratory Summary It s well nown that
More informationTime dependent weight functions for the Trajectory Piecewise-Linear approach?
Tme epenent weght functons for the Trajectory Pecewse-Lnear approach? Juan Pablo Amorocho an Heke Faßbener Abstract Moel orer reucton (MOR) has become an ubqutous technque n the smulaton of large-scale
More informationFinite Element Modelling of truss/cable structures
Pet Schreurs Endhoven Unversty of echnology Department of Mechancal Engneerng Materals echnology November 3, 214 Fnte Element Modellng of truss/cable structures 1 Fnte Element Analyss of prestressed structures
More informationLab 2e Thermal System Response and Effective Heat Transfer Coefficient
58:080 Expermental Engneerng 1 OBJECTIVE Lab 2e Thermal System Response and Effectve Heat Transfer Coeffcent Warnng: though the experment has educatonal objectves (to learn about bolng heat transfer, etc.),
More informationNUMERICAL DIFFERENTIATION
NUMERICAL DIFFERENTIATION 1 Introducton Dfferentaton s a method to compute the rate at whch a dependent output y changes wth respect to the change n the ndependent nput x. Ths rate of change s called the
More informationYukawa Potential and the Propagator Term
PHY304 Partcle Physcs 4 Dr C N Booth Yukawa Potental an the Propagator Term Conser the electrostatc potental about a charge pont partcle Ths s gven by φ = 0, e whch has the soluton φ = Ths escrbes the
More informationRobust Dynamic Programming for Discounted Infinite-Horizon Markov Decision Processes with Uncertain Stationary Transition Matrice
roceengs of the 2007 IEEE Symposum on Approxmate Dynamc rogrammng an Renforcement Learnng (ADRL 2007) Robust Dynamc rogrammng for Dscounte Infnte-Horzon Markov Decson rocesses wth Uncertan Statonary Transton
More informationMode decomposition method for non-classically damped structures using. acceleration responses
ICCM5, 4-7 th July, Auckland, NZ Mode decomposton method for non-classcally damped structures usng acceleraton responses J.-S. Hwang¹, *S.-H. Shn, and H. Km Department of Archtectural Engneerng, Chonnam
More informationVibration Isolation of Lumped Masses Supported on Beam by Imposing Nodes Using Multiple Vibration Absorbers
Mechancal Engneerng Research; Vol. 6, No. ; 206 ISSN 927-0607 E-ISSN 927-065 Publshe by Canaan Center of Scence an Eucaton Vbraton Isolaton of Lumpe Masses Supporte on Beam by Imposng Noes Usng Multple
More information1 Derivation of Rate Equations from Single-Cell Conductance (Hodgkin-Huxley-like) Equations
Physcs 171/271 -Davd Klenfeld - Fall 2005 (revsed Wnter 2011) 1 Dervaton of Rate Equatons from Sngle-Cell Conductance (Hodgkn-Huxley-lke) Equatons We consder a network of many neurons, each of whch obeys
More informationChapter 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 informationCalculation of Coherent Synchrotron Radiation in General Particle Tracer
Calculaton of Coherent Synchrotron Raaton n General Partcle Tracer T. Myajma, Ivan V. Bazarov KEK-PF, Cornell Unversty 9 July, 008 CSR n GPT D CSR wake calculaton n GPT usng D. Sagan s formula. General
More informationEEE 241: Linear Systems
EEE : Lnear Systems Summary #: Backpropagaton BACKPROPAGATION The perceptron rule as well as the Wdrow Hoff learnng were desgned to tran sngle layer networks. They suffer from the same dsadvantage: they
More informationPulse Coded Modulation
Pulse Coded Modulaton PCM (Pulse Coded Modulaton) s a voce codng technque defned by the ITU-T G.711 standard and t s used n dgtal telephony to encode the voce sgnal. The frst step n the analog to dgtal
More informationParametric fractional imputation for missing data analysis. Jae Kwang Kim Survey Working Group Seminar March 29, 2010
Parametrc fractonal mputaton for mssng data analyss Jae Kwang Km Survey Workng Group Semnar March 29, 2010 1 Outlne Introducton Proposed method Fractonal mputaton Approxmaton Varance estmaton Multple mputaton
More information( ) = : a torque vector composed of shoulder torque and elbow torque, corresponding to
Supplementary Materal for Hwan EJ, Donchn O, Smth MA, Shamehr R (3 A Gan-Fel Encon of Lmb Poston an Velocty n the Internal Moel of Arm Dynamcs. PLOS Boloy, :9-. Learnn of ynamcs usn bass elements he nternal
More information( ) = ( ) + ( 0) ) ( )
EETOMAGNETI OMPATIBIITY HANDBOOK 1 hapter 9: Transent Behavor n the Tme Doman 9.1 Desgn a crcut usng reasonable values for the components that s capable of provdng a tme delay of 100 ms to a dgtal sgnal.
More informationSuppose 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 informationA NOVEL DESIGN APPROACH FOR MULTIVARIABLE QUANTITATIVE FEEDBACK DESIGN WITH TRACKING ERROR SPECIFICATIONS
A OVEL DESIG APPROACH FOR MULTIVARIABLE QUATITATIVE FEEDBACK DESIG WITH TRACKIG ERROR SPECIFICATIOS Seyyed Mohammad Mahd Alav, Al Khak-Sedgh, Batool Labb Department of Electronc and Computer Engneerng,
More informationMechanical Systems Part B: Digital Control Lecture BL4
BL4: 436-433 Mechancal Systems Part B: Dgtal Control Lecture BL4 Interretaton of Inverson of -transform tme resonse Soluton of fference equatons Desgn y emulaton Dscrete PID controllers Interretaton of
More informationChapter 7: Conservation of Energy
Lecture 7: Conservaton o nergy Chapter 7: Conservaton o nergy Introucton I the quantty o a subject oes not change wth tme, t means that the quantty s conserve. The quantty o that subject remans constant
More informationVQ widely used in coding speech, image, and video
at Scalar quantzers are specal cases of vector quantzers (VQ): they are constraned to look at one sample at a tme (memoryless) VQ does not have such constrant better RD perfomance expected Source codng
More informationOn Liu Estimators for the Logit Regression Model
CESIS Electronc Workng Paper Seres Paper No. 59 On Lu Estmators for the Logt Regresson Moel Krstofer Månsson B. M. Golam Kbra October 011 The Royal Insttute of technology Centre of Excellence for Scence
More informationModeling and H Robust Control of a Smart Structure with Rate-dependent Hysteresis Nonlinearity
Internatonal Journal of Automaton and Computng 11(1), February 2014, 51-58 DOI: 10.1007/s11633-014-0765-x Modelng and H Robust Control of a Smart Structure wth Rate-dependent Hysteress Nonlnearty Png Lu
More information3.1 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 informationThe 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 informationBoise State University Department of Electrical and Computer Engineering ECE 212L Circuit Analysis and Design Lab
Bose State Unersty Department of Electrcal and omputer Engneerng EE 1L rcut Analyss and Desgn Lab Experment #8: The Integratng and Dfferentatng Op-Amp rcuts 1 Objectes The objectes of ths laboratory experment
More informationBoise State University Department of Electrical and Computer Engineering ECE 212L Circuit Analysis and Design Lab
Bose State Unersty Department of Electrcal and omputer Engneerng EE 1L rcut Analyss and Desgn Lab Experment #8: The Integratng and Dfferentatng Op-Amp rcuts 1 Objectes The objectes of ths laboratory experment
More informationChapter 2 Transformations and Expectations. , and define f
Revew for the prevous lecture Defnton: support set of a ranom varable, the monotone functon; Theorem: How to obtan a cf, pf (or pmf) of functons of a ranom varable; Eamples: several eamples Chapter Transformatons
More informationRobust Fuzzy Control of Electrical Manipulators
J Intell Robot Syst (21) 6:415 434 DOI 1.17/s1846-1-943-y Robust Fuzzy Control of Electrcal Manpulators Mohammad Mehd Fateh Receved: 1 September 29 / Accepted: 19 Aprl 21 / Publshed onlne: 22 June 21 Sprnger
More informationAn 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 informationVariable factor S-transform seismic data analysis
S-transform analyss Varable factor S-transform sesmc ata analyss Toor I. Toorov an Gary F. Margrave ABSTRACT Most of toay s geophyscal ata processng an analyss methos are base on the assumpton that the
More informationThe lower and upper bounds on Perron root of nonnegative irreducible matrices
Journal of Computatonal Appled Mathematcs 217 (2008) 259 267 wwwelsevercom/locate/cam The lower upper bounds on Perron root of nonnegatve rreducble matrces Guang-Xn Huang a,, Feng Yn b,keguo a a College
More informationAutomatica. Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints. Mou Chen a,c, Shuzhi Sam Ge b,c,, Beibei Ren c
Automatca 47 (0) 45 465 Contents lsts avalable at ScenceDrect Automatca ournal homepage: www.elsever.com/locate/automatca Adaptve trackng control of uncertan MIMO nonlnear systems wth nput constrants Mou
More informationSUPPLEMENTARY INFORMATION
do: 0.08/nature09 I. Resonant absorpton of XUV pulses n Kr + usng the reduced densty matrx approach The quantum beats nvestgated n ths paper are the result of nterference between two exctaton paths of
More informationCASE STUDIES ON PERFORMANCE BASED SEISMIC DESIGN USING CAPACITY SPECTRUM METHOD
CAE TUDIE ON PERFORMANCE BAED EIMIC DEIGN UING CAPACITY PECTRUM METHOD T NAGAO, H MUKAI An D NIHIKAWA 3 UMMARY Ths research ams to show the proceures an results of Performance Base esmc Desgn usng Capacty
More informationA 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 informationAnnexes. EC.1. Cycle-base move illustration. EC.2. Problem Instances
ec Annexes Ths Annex frst llustrates a cycle-based move n the dynamc-block generaton tabu search. It then dsplays the characterstcs of the nstance sets, followed by detaled results of the parametercalbraton
More informationOff-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 informationAN IMPROVED PARTICLE FILTER ALGORITHM BASED ON NEURAL NETWORK FOR TARGET TRACKING
AN IMPROVED PARTICLE FILTER ALGORITHM BASED ON NEURAL NETWORK FOR TARGET TRACKING Qn Wen, Peng Qcong 40 Lab, Insttuton of Communcaton and Informaton Engneerng,Unversty of Electronc Scence and Technology
More informationSAMPLE PAGES TO BE FOLLOWED EXACTLY IN PREPARING SCRIPTS. ADAPTIVE SPEED CONTROL OF PMSMs WITH UNKNOWN LOAD TORQUE
SAMPLE PAGES O BE FOLLOWED EXACLY IN PREPARING SCRIPS ADAPIVE SPEED CONROL OF PMSMs WIH UNKNOWN LOAD ORQUE F. N. Koumbouls * N. D. Kouvaas * G. E. Panagotas * an A. G. Pantelos * Department of Automaton
More informationGlobal Sensitivity. Tuesday 20 th February, 2018
Global Senstvty Tuesday 2 th February, 28 ) Local Senstvty Most senstvty analyses [] are based on local estmates of senstvty, typcally by expandng the response n a Taylor seres about some specfc values
More informationHard Problems from Advanced Partial Differential Equations (18.306)
Har Problems from Avance Partal Dfferental Equatons (18.306) Kenny Kamrn June 27, 2004 1. We are gven the PDE 2 Ψ = Ψ xx + Ψ yy = 0. We must fn solutons of the form Ψ = x γ f (ξ), where ξ x/y. We also
More informationDO 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 informationA Robust Method for Calculating the Correlation Coefficient
A Robust Method for Calculatng the Correlaton Coeffcent E.B. Nven and C. V. Deutsch Relatonshps between prmary and secondary data are frequently quantfed usng the correlaton coeffcent; however, the tradtonal
More informationp(z) = 1 a e z/a 1(z 0) yi a i x (1/a) exp y i a i x a i=1 n i=1 (y i a i x) inf 1 (y Ax) inf Ax y (1 ν) y if A (1 ν) = 0 otherwise
Dustn Lennon Math 582 Convex Optmzaton Problems from Boy, Chapter 7 Problem 7.1 Solve the MLE problem when the nose s exponentally strbute wth ensty p(z = 1 a e z/a 1(z 0 The MLE s gven by the followng:
More informationInternet Engineering. Jacek Mazurkiewicz, PhD Softcomputing. Part 3: Recurrent Artificial Neural Networks Self-Organising Artificial Neural Networks
Internet Engneerng Jacek Mazurkewcz, PhD Softcomputng Part 3: Recurrent Artfcal Neural Networks Self-Organsng Artfcal Neural Networks Recurrent Artfcal Neural Networks Feedback sgnals between neurons Dynamc
More informationPop-Click Noise Detection Using Inter-Frame Correlation for Improved Portable Auditory Sensing
Advanced Scence and Technology Letters, pp.164-168 http://dx.do.org/10.14257/astl.2013 Pop-Clc Nose Detecton Usng Inter-Frame Correlaton for Improved Portable Audtory Sensng Dong Yun Lee, Kwang Myung Jeon,
More information386. LINE SCALE COMPARATOR CARRIAGE VIBRATIONS DURING DYNAMIC CALIBRATION
86. LINE SCALE COPARATOR CARRIAGE VIBRATIONS DURING DYNAIC CALIBRATION A. Kasparats, V. Vekters, A. Klkevchus,, Vlnus Gemnas Techncal Unversty, Basanavcaus str. 8, Vlnus, Lthuana E-mal: a.kasparats@bsp.lt,
More informationDesign of dual-loop attitude controller for target missile based on fuzzy variable structure
Desgn of ual-loop atttue controller for target mssle base on fuzzy varable structure Xu Zheng a, Suochang Yang b Army Engneerng Unversty, Shjazhuang 050003, Chna a80935784@qq.com, b yangsuochang@63.com
More informationImproved delay-dependent stability criteria for discrete-time stochastic neural networks with time-varying delays
Avalable onlne at www.scencedrect.com Proceda Engneerng 5 ( 4456 446 Improved delay-dependent stablty crtera for dscrete-tme stochastc neural networs wth tme-varyng delays Meng-zhuo Luo a Shou-mng Zhong
More informationErratum: A Generalized Path Integral Control Approach to Reinforcement Learning
Journal of Machne Learnng Research 00-9 Submtted /0; Publshed 7/ Erratum: A Generalzed Path Integral Control Approach to Renforcement Learnng Evangelos ATheodorou Jonas Buchl Stefan Schaal Department of
More informationSIO 224. m(r) =(ρ(r),k s (r),µ(r))
SIO 224 1. A bref look at resoluton analyss Here s some background for the Masters and Gubbns resoluton paper. Global Earth models are usually found teratvely by assumng a startng model and fndng small
More informationModule 3. Process Control. Version 2 EE IIT, Kharagpur 1
Moule 3 Process Control Verson 2 EE IIT, Kharagur 1 Lesson 13 Controller Tunng Verson 2 EE IIT, Kharagur 2 Instructonal Objectves At the en of ths lesson, the stuent shoul be able to Exlan the mortance
More informationHongyi Miao, College of Science, Nanjing Forestry University, Nanjing ,China. (Received 20 June 2013, accepted 11 March 2014) I)ϕ (k)
ISSN 1749-3889 (prnt), 1749-3897 (onlne) Internatonal Journal of Nonlnear Scence Vol.17(2014) No.2,pp.188-192 Modfed Block Jacob-Davdson Method for Solvng Large Sparse Egenproblems Hongy Mao, College of
More informationMicrowave Diversity Imaging Compression Using Bioinspired
Mcrowave Dversty Imagng Compresson Usng Bonspred Neural Networks Youwe Yuan 1, Yong L 1, Wele Xu 1, Janghong Yu * 1 School of Computer Scence and Technology, Hangzhou Danz Unversty, Hangzhou, Zhejang,
More informationRolling Bearing Fault Diagnosis Based on EMD-TEO and Mahalanobis Distance
Rollng Bearng Fault Dagnoss Based on EMD-TE and Mahalanobs Dstance Lu Chen, Hu Jameng, Lu Hongme and Wang Jng RLLG BEARG FAULT DAGSS BASED EMD-TE AD MAHALABS DSTACE. LU CHE, HU JAMEG, LU HGME AD WAG JG
More informationFor now, let us focus on a specific model of neurons. These are simplified from reality but can achieve remarkable results.
Neural Networks : Dervaton compled by Alvn Wan from Professor Jtendra Malk s lecture Ths type of computaton s called deep learnng and s the most popular method for many problems, such as computer vson
More informationDistance-Based Approaches to Inferring Phylogenetic Trees
Dstance-Base Approaches to Inferrng Phylogenetc Trees BMI/CS 576 www.bostat.wsc.eu/bm576.html Mark Craven craven@bostat.wsc.eu Fall 0 Representng stances n roote an unroote trees st(a,c) = 8 st(a,d) =
More information