Real-Time Trajectory Generation and Tracking for Cooperative Control Systems

Size: px
Start display at page:

Download "Real-Time Trajectory Generation and Tracking for Cooperative Control Systems"

Transcription

1 Real-Tme Trajecor Generaon and Trackng for Cooperave Conrol Ssems Rchard Mrra Jason Hcke Calforna Inse of Technolog MURI Kckoff Meeng 14 Ma 2001 Olne I. Revew of prevos work n rajecor generaon and rackng II. Cooperave rajecor generaon va opmaon-based conrol III. Research plan and negraon

2 Trajecor Generaon and Trackng Usng Dfferenal Flaness Nonlnear desgn global nonlneares np saraon sae space consrans ref Trajecor Generaon d d Lnear desgn nose δ Plan P Lnear Conrol op Calech Dced Fan Approach: Two Degree of Freedom Desgn Use onlne rajecor generaon o consrc feasble rajecores Use schedled lnear conrol for performance and robsness For man flgh vehcles ssem s dfferenall fla redce dnamc ssem o algebrac eqvalen and generae feasble rajecores n real me Resls PRET + SEC Framework for eplong dfferenal flaness n real-me rajecor generaon Necessar and sffcen condons for flaness classes of mechancal ssems NTG sofware package for fne me opmal conrol n presence of consrans Implemenaon and esng on Calech dced fan Transons n progress o SEC Raheon MURI Kckoff 14 Ma 01 Rchard Mrra Calech 2

3 MURI Kckoff 14 Ma 01 Rchard Mrra Calech 3 Dced Fan Terran Avodance Real-Tme Trajecor Generaon / Opmaon Collocaon Flaness Qas-collocaon f = f = = α ψ = = = = q q p α ψ 0 p q h = Φ = Γ =

4 Opmaon-Based Conrol: MPC + CLF T T + T + T = arg mn q τ τ dτ + V + T [ ] = = + T 0 f = f g 0 d Onlne conrol csomaon Ssem: f Consrans/envronmen: g Mssson: L Updae n real-me o acheve reconfgrable operaon MURI Kckoff 14 Ma 01 Rchard Mrra Calech 4

5 Theor: MPC + CLF Approach * J 0 = mn q d + V T τ τ τ T 0 T Fne horon nf V + q 0 CLF cos o go Basc Idea Use onlne models o compe recedng horon opmal conrol CLF-based ermnal cos gves sabl + shor me horons Properes Can prove sabl n absence of consrans Incremenal mprovemen proper fne eraons OK Increased horon larger regon of aracon MURI Kckoff 14 Ma 01 Rchard Mrra Calech 5

6 Epermenal Resls: Calech Dced Fan NTG + MPC + CLF Pch Conrol dspace RTOS MURI Kckoff 14 Ma 01 Rchard Mrra Calech 6

7 Ml-Vehcle Opmaon-Based Conrol Assme we have real-me fne horon opmal conrol as a prmve + = arg mn L d+ V + T [ T] = = + T 0 + T f = f g 0 d Choose f g L o represen he coplng beween he varos sbssems Cooperaon depends on how we model res of he world q 1 = 0 1 L + T + = arg mn L q q d+ V 2[ T] = f g q 3 = 0 3 L Reconfgrable based on condon msson envronmen MURI Kckoff 14 Ma 01 Rchard Mrra Calech 7

8 Smlaon Eample: Formaon Flgh Task: Manan eqal spacng of vehcles arond crcle Follow desred rajecor for cener of mass Global MPC + CLF Local MPC + CLF Assme neghbors follow sragh lnes Parameers: Horon: 2 sec Updae: 0.5 sec Hgh dampng MURI Kckoff 14 Ma 01 Rchard Mrra Calech 8

9 Ml-Vehcle Opmaon-Based Conrol q 1 = 0 1 L + T + = arg mn L q q d+ V 2[ T] = f g q 3 = 0 3 L Open Qesons: Low Level Cooperaon How do we coordnae moon beween mlple vehcles? How do we aggregae cos fncons no herarches? How do we provde redndanc and falre olerance? How do we commncae beween vehcles and how ofen? How do we nsre scalabl o large nmbers of agens? How do we ncorporae adversaral acons? MURI Kckoff 14 Ma 01 Rchard Mrra Calech 9

10 Hgher Level Cooperaon: Rejon Eapmle Open Qesons: Hgher Level Isses How do we collecvel agree o rejon n a robs manner? How do we negrae proocol sack wh rajecor generaon/rackng How do we descrbe he specfcaon of he ask? How do we prove ha solon code sasfes he specfcaon? How do we prove sabl of he solon? How do we verf and valdae he solon? How do we nsre all of hs works n he presence of adversares? MURI Kckoff 14 Ma 01 Rchard Mrra Calech 10

11 Ml-Vehcle Wreless Tesbed for Inegraed Conrol Commncaons and Compaon DURIP Tesbed feares Dsrbed compaon on ndvdal vehcles + command and conrol console Pon o pon ad-hoc neworkng bleooh + local area neworkng Cooperave conrol n dnamc nceran and adversaral envronmens MURI Kckoff 14 Ma 01 Rchard Mrra Calech 11

12 Research Plan and Inegraon: Cooperave Conrol n Dnamc Unceran and Adversaral Envronmens Cooperave Conrol Lnked cos fncons Opmaon-Based Conrol Real-me model predcve conrol for onlne conrol csomaon: heor and sofware Onlne mplemenaon on Calech Dced Fan Sofware Envronmens Logcal programmng envronmens for embedded conrol ssems desgn Ml-Vehcle Tesbed DURIP Implemenaon on ml-vehcle wreless esbed sng Open Conrol Plaform Bleooh-based pon o pon commncaons wh ad-hoc neworkng MURI Kckoff 14 Ma 01 Rchard Mrra Calech 12

Stochastic Programming handling CVAR in objective and constraint

Stochastic Programming handling CVAR in objective and constraint Sochasc Programmng handlng CVAR n obecve and consran Leondas Sakalaskas VU Inse of Mahemacs and Informacs Lhana ICSP XIII Jly 8-2 23 Bergamo Ialy Olne Inrodcon Lagrangan & KKT condons Mone-Carlo samplng

More information

Observer Design for Nonlinear Systems using Linear Approximations

Observer Design for Nonlinear Systems using Linear Approximations Observer Desgn for Nonlnear Ssems sng Lnear Appromaons C. Navarro Hernandez, S.P. Banks and M. Aldeen Deparmen of Aomac Conrol and Ssems Engneerng, Unvers of Sheffeld, Mappn Sree, Sheffeld S 3JD. e-mal:

More information

Is it necessary to seasonally adjust business and consumer surveys. Emmanuelle Guidetti

Is it necessary to seasonally adjust business and consumer surveys. Emmanuelle Guidetti Is necessar o seasonall adjs bsness and consmer srves Emmanelle Gde Olne 1 BTS feares 2 Smlaon eercse 3 Seasonal ARIMA modellng 4 Conclsons Jan-85 Jan-87 Jan-89 Jan-91 Jan-93 Jan-95 Jan-97 Jan-99 Jan-01

More information

by Lauren DeDieu Advisor: George Chen

by 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 information

, t 1. Transitions - this one was easy, but in general the hardest part is choosing the which variables are state and control variables

, t 1. Transitions - this one was easy, but in general the hardest part is choosing the which variables are state and control variables Opmal Conrol Why Use I - verss calcls of varaons, opmal conrol More generaly More convenen wh consrans (e.g., can p consrans on he dervaves More nsghs no problem (a leas more apparen han hrogh calcls of

More information

Calculation of the Resistance of a Ship Mathematical Formulation. Calculation of the Resistance of a Ship Mathematical Formulation

Calculation of the Resistance of a Ship Mathematical Formulation. Calculation of the Resistance of a Ship Mathematical Formulation Ressance s obaned from he sm of he frcon and pressre ressance arables o deermne: - eloc ecor, (3) = (,, ) = (,, ) - Pressre, p () ( - Dens, ρ, s defned b he eqaon of sae Ressance and Proplson Lecre 0 4

More information

Real Time Hybrid Simulation using Shaking Tabels

Real Time Hybrid Simulation using Shaking Tabels Real Tme Hybrd Smlaon sng Shakng Tabels Deparmen o Cvl and Envronmenal Engneerng Unversy o Kassel, Germany Olne Inrodcon A ndamenal sbsrcre algorhm wh sb seppng Applcaons o he algorhm Conclsons Inrodcon

More information

FAIPA_SAND: An Interior Point Algorithm for Simultaneous ANalysis and Design Optimization

FAIPA_SAND: An Interior Point Algorithm for Simultaneous ANalysis and Design Optimization FAIPA_AN: An Ineror Pon Algorhm for mlaneos ANalyss an esgn Opmzaon osé Hersos*, Palo Mappa* an onel llen** *COPPE / Feeral Unersy of Ro e anero, Mechancal Engneerng Program, Caa Posal 6853, 945 97 Ro

More information

Lecture 9: Dynamic Properties

Lecture 9: Dynamic Properties Shor Course on Molecular Dynamcs Smulaon Lecure 9: Dynamc Properes Professor A. Marn Purdue Unversy Hgh Level Course Oulne 1. MD Bascs. Poenal Energy Funcons 3. Inegraon Algorhms 4. Temperaure Conrol 5.

More information

WiH Wei He

WiH Wei He Sysem Idenfcaon of onlnear Sae-Space Space Baery odels WH We He wehe@calce.umd.edu Advsor: Dr. Chaochao Chen Deparmen of echancal Engneerng Unversy of aryland, College Par 1 Unversy of aryland Bacground

More information

EEL 6266 Power System Operation and Control. Chapter 5 Unit Commitment

EEL 6266 Power System Operation and Control. Chapter 5 Unit Commitment EEL 6266 Power Sysem Operaon and Conrol Chaper 5 Un Commmen Dynamc programmng chef advanage over enumeraon schemes s he reducon n he dmensonaly of he problem n a src prory order scheme, here are only N

More information

Model-Based FDI : the control approach

Model-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 information

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes.

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes. umercal negraon of he dffuson equaon (I) Fne dfference mehod. Spaal screaon. Inernal nodes. R L V For hermal conducon le s dscree he spaal doman no small fne spans, =,,: Balance of parcles for an nernal

More information

CONSISTENT EARTHQUAKE ACCELERATION AND DISPLACEMENT RECORDS

CONSISTENT EARTHQUAKE ACCELERATION AND DISPLACEMENT RECORDS APPENDX J CONSSTENT EARTHQUAKE ACCEERATON AND DSPACEMENT RECORDS Earhqake Acceleraons can be Measred. However, Srcres are Sbjeced o Earhqake Dsplacemens J. NTRODUCTON { XE "Acceleraon Records" }A he presen

More information

Method of Characteristics for Pure Advection By Gilberto E. Urroz, September 2004

Method of Characteristics for Pure Advection By Gilberto E. Urroz, September 2004 Mehod of Charaerss for Pre Adveon By Glbero E Urroz Sepember 004 Noe: The followng noes are based on lass noes for he lass COMPUTATIONAL HYDAULICS as agh by Dr Forres Holly n he Sprng Semeser 985 a he

More information

XIII International PhD Workshop OWD 2011, October Three Phase DC/DC Boost Converter With High Energy Efficiency

XIII International PhD Workshop OWD 2011, October Three Phase DC/DC Boost Converter With High Energy Efficiency X nernaonal Ph Workshop OW, Ocober Three Phase C/C Boos Converer Wh Hgh Energy Effcency Ján Perdľak, Techncal nversy of Košce Absrac Ths paper presens a novel opology of mlphase boos converer wh hgh energy

More information

Notes on the stability of dynamic systems and the use of Eigen Values.

Notes 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 information

Chapter 6 DETECTION AND ESTIMATION: Model of digital communication system. Fundamental issues in digital communications are

Chapter 6 DETECTION AND ESTIMATION: Model of digital communication system. Fundamental issues in digital communications are Chaper 6 DCIO AD IMAIO: Fndaenal sses n dgal concaons are. Deecon and. saon Deecon heory: I deals wh he desgn and evalaon of decson ang processor ha observes he receved sgnal and gesses whch parclar sybol

More information

Qi Kang*, Lei Wang and Qidi Wu

Qi Kang*, Lei Wang and Qidi Wu In. J. Bo-Inspred Compaon, Vol., Nos. /, 009 6 Swarm-based approxmae dynamc opmzaon process for dscree parcle swarm opmzaon sysem Q Kang*, Le Wang and Qd W Deparmen of Conrol Scence and Engneerng, ongj

More information

SPACECRAFT FORMATION CONTROL AND ESTIMATION VIA IMPROVED RELATIVE-MOTION DYNAMICS

SPACECRAFT FORMATION CONTROL AND ESTIMATION VIA IMPROVED RELATIVE-MOTION DYNAMICS AFRL-RV-PS- TR-7-5 AFRL-RV-PS- TR-7-5 SPACECRAFT FORMATION CONTROL AND ESTIMATION VIA IMPROVED RELATIVE-MOTION DYNAMICS Davd A. Ccc Abrn Unvers 7 Samford Hall Abrn, AL 36849-3 Mar 7 Fnal Repor APPROVED

More information

Decentralized Receding Horizon Control of Multiple Vehicles subject to Communication Failure

Decentralized Receding Horizon Control of Multiple Vehicles subject to Communication Failure 2009 Amercan Conrol Conference Hya Regency Rverfron, S Lous, MO, USA June 10-12, 2009 ThC094 Decenralzed Recedng Horzon Conrol of Mulple Vehcles subec o Communcaon Falure Hoa A Izad, Suden Member, IEEE,

More information

On the Boyd- Kuramoto Model : Emergence in a Mathematical Model for Adversarial C2 Systems

On the Boyd- Kuramoto Model : Emergence in a Mathematical Model for Adversarial C2 Systems On he oyd- Kuramoo Model : Emergence n a Mahemacal Model for Adversaral C2 Sysems Alexander Kallonas DSTO, Jon Operaons Dvson C2 Processes: many are cycles! oyd s Observe-Oren-Decde-Ac Loop: Snowden s

More information

Feasibility Study for Reconstructing the Spatial-Temporal Structure of TIDs from High-Resolution Backscatter Ionograms

Feasibility Study for Reconstructing the Spatial-Temporal Structure of TIDs from High-Resolution Backscatter Ionograms Feasbl Su for Reconsrucng he Spaal-Temporal Srucure of TIDs from Hgh-Resoluon Backscaer Ionograms Dr. L. J. Ncksch, Dr. Serge Frman, Dr. Mark Hausman NorhWes Research Assocaes, Monere, Calforna Dr. Geoffre

More information

Comprehensive Integrated Simulation and Optimization of LPP for EUV Lithography Devices

Comprehensive Integrated Simulation and Optimization of LPP for EUV Lithography Devices Comprehense Inegraed Smulaon and Opmaon of LPP for EUV Lhograph Deces A. Hassanen V. Su V. Moroo T. Su B. Rce (Inel) Fourh Inernaonal EUVL Smposum San Dego CA Noember 7-9 2005 Argonne Naonal Laboraor Offce

More information

THE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS

THE 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 information

Single-loop System Reliability-Based Design & Topology Optimization (SRBDO/SRBTO): A Matrix-based System Reliability (MSR) Method

Single-loop System Reliability-Based Design & Topology Optimization (SRBDO/SRBTO): A Matrix-based System Reliability (MSR) Method 10 h US Naonal Congress on Compuaonal Mechancs Columbus, Oho 16-19, 2009 Sngle-loop Sysem Relably-Based Desgn & Topology Opmzaon (SRBDO/SRBTO): A Marx-based Sysem Relably (MSR) Mehod Tam Nguyen, Junho

More information

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD

HEAT 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 information

Lagrangian Relaxation-Based Unit Commitment Considering Fast Response Reserve Constraints *

Lagrangian Relaxation-Based Unit Commitment Considering Fast Response Reserve Constraints * Energy and Power Engneerng 2013 5 970-974 do:10.4236/epe.2013.54b186 Pblshed Onlne Jly 2013 (hp://www.scrp.org/jornal/epe) Lagrangan Relaxaon-Based Un Commmen Consderng Fas Response Reserve Consrans *

More information

The Elastic Wave Equation. The elastic wave equation

The Elastic Wave Equation. The elastic wave equation The Elasc Wave Eqaon Elasc waves n nfne homogeneos soropc meda Nmercal smlaons for smple sorces Plane wave propagaon n nfne meda Freqency, wavenmber, wavelengh Condons a maeral dsconnes nell s Law Reflecon

More information

ABSTRACT. Keywords: Finite Element, Active Optics, Adaptive Optics, WaveFront Error, System Analysis, Optomechanical 1.

ABSTRACT. Keywords: Finite Element, Active Optics, Adaptive Optics, WaveFront Error, System Analysis, Optomechanical 1. Analyss echne or conrollng Sysem Waveron Error wh Acve/Adapve Opcs Vcor L. Genberg*, Gregory J. Mchels Sgmadyne, 83 Wes Ave, ocheser, NY 14611 *genberg@sgmadyne.com (585)35-746 ABSTACT The lmae goal o

More information

Introduction to. Computer Animation

Introduction to. Computer Animation Inroducon o 1 Movaon Anmaon from anma (la.) = soul, spr, breah of lfe Brng mages o lfe! Examples Characer anmaon (humans, anmals) Secondary moon (har, cloh) Physcal world (rgd bodes, waer, fre) 2 2 Anmaon

More information

Solution of a diffusion problem in a non-homogeneous flow and diffusion field by the integral representation method (IRM)

Solution of a diffusion problem in a non-homogeneous flow and diffusion field by the integral representation method (IRM) Appled and ompaonal Mahemacs 4; 3: 5-6 Pblshed onlne Febrary 4 hp://www.scencepblshnggrop.com//acm do:.648/.acm.43.3 olon of a dffson problem n a non-homogeneos flow and dffson feld by he negral represenaon

More information

Mechanics Physics 151

Mechanics 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 information

VEHICLE DYNAMIC MODELING & SIMULATION: COMPARING A FINITE- ELEMENT SOLUTION TO A MULTI-BODY DYNAMIC SOLUTION

VEHICLE DYNAMIC MODELING & SIMULATION: COMPARING A FINITE- ELEMENT SOLUTION TO A MULTI-BODY DYNAMIC SOLUTION 21 NDIA GROUND VEHICLE SYSTEMS ENGINEERING AND TECHNOLOGY SYMPOSIUM MODELING & SIMULATION, TESTING AND VALIDATION (MSTV) MINI-SYMPOSIUM AUGUST 17-19 DEARBORN, MICHIGAN VEHICLE DYNAMIC MODELING & SIMULATION:

More information

Mechanics Physics 151

Mechanics 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 information

CHAPTER 10: LINEAR DISCRIMINATION

CHAPTER 10: LINEAR DISCRIMINATION CHAPER : LINEAR DISCRIMINAION Dscrmnan-based Classfcaon 3 In classfcaon h K classes (C,C,, C k ) We defned dscrmnan funcon g j (), j=,,,k hen gven an es eample, e chose (predced) s class label as C f g

More information

Cubic Bezier Homotopy Function for Solving Exponential Equations

Cubic 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 information

ONLINE PARAMETRIC IDENTIFICATION OF MASS- SPRING-DAMPER MECHANICAL SYSTEMS USING ACCELERATION MEASUREMENTS

ONLINE PARAMETRIC IDENTIFICATION OF MASS- SPRING-DAMPER MECHANICAL SYSTEMS USING ACCELERATION MEASUREMENTS Psas Educavas, No. 18 (SENIE 17), febrero 18, Méxco, Tecnológco Naconal de Méxco en Celaya ONLINE PARAMETRIC IDENTIFICATION OF MASS- SPRING-DAMPER MECHANICAL SYSTEMS USING ACCELERATION MEASUREMENTS Francsco

More information

Structural Optimization Using Metamodels

Structural Optimization Using Metamodels Srucural Opmzaon Usng Meamodels 30 Mar. 007 Dep. o Mechancal Engneerng Dong-A Unvers Korea Kwon-Hee Lee Conens. Numercal Opmzaon. Opmzaon Usng Meamodels Impac beam desgn WB Door desgn 3. Robus Opmzaon

More information

Volatility Interpolation

Volatility Interpolation Volaly Inerpolaon Prelmnary Verson March 00 Jesper Andreasen and Bran Huge Danse Mares, Copenhagen wan.daddy@danseban.com brno@danseban.com Elecronc copy avalable a: hp://ssrn.com/absrac=69497 Inro Local

More information

COOPERATIVE CONTROL OF MULTI-AGENT MOVING ALONG A SET OF GIVEN CURVES

COOPERATIVE CONTROL OF MULTI-AGENT MOVING ALONG A SET OF GIVEN CURVES J Sys Sc Complex (11) 4: 631 646 COOPERATIVE CONTROL OF MULTI-AGENT MOVING ALONG A SET OF GIVEN CURVES Yangyang CHEN Yupng TIAN DOI: 1.17/s1144-11-9158-1 Receved: 8 June 9 / Revsed: Aprl 1 c The Edoral

More information

Cartesian tensors. Order (rank) Scalar. Vector. 3x3 matrix

Cartesian tensors. Order (rank) Scalar. Vector. 3x3 matrix Caresan ensors Order (rank) 0 1 3 a b c d k Scalar ecor 33 mar Caresan ensors Kronecker dela δ = 1 f = 0 f Le- Ca epslon ε k = 1 f,, k are cclc 1 f,, k are ancclc 0 oherse Smmaon conenon (o eqal ncces

More information

Combining Optimization and Constraint Programming

Combining Optimization and Constraint Programming Combnng Opmzaon and Consran Programmng J. N. Hooker Carnege Mellon Unvers 4 h Inernaonal Conference on Operaons Research March Havana Some work s jon wh Ignaco Grossmann Carnege Mellon Unvers Hak-Jn Km

More information

Hierarchical Sliding Mode Control for Series Double Inverted Pendulums System

Hierarchical Sliding Mode Control for Series Double Inverted Pendulums System Herarchcal Sldng Mode Conrol for Seres Doble Invered Pendlms Sysem Danwe Qan, Janqang Y, Dongbn Zhao, and Ynxng Hao Laboraory of Complex Sysems and Inellgence Scence Inse of Aomaon, Chnese Academy of Scences

More information

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC CH.3. COMPATIBILITY EQUATIONS Connuum Mechancs Course (MMC) - ETSECCPB - UPC Overvew Compably Condons Compably Equaons of a Poenal Vecor Feld Compably Condons for Infnesmal Srans Inegraon of he Infnesmal

More information

Lecture 11 SVM cont

Lecture 11 SVM cont Lecure SVM con. 0 008 Wha we have done so far We have esalshed ha we wan o fnd a lnear decson oundary whose margn s he larges We know how o measure he margn of a lnear decson oundary Tha s: he mnmum geomerc

More information

Dynamic Model of the Axially Moving Viscoelastic Belt System with Tensioner Pulley Yanqi Liu1, a, Hongyu Wang2, b, Dongxing Cao3, c, Xiaoling Gai1, d

Dynamic Model of the Axially Moving Viscoelastic Belt System with Tensioner Pulley Yanqi Liu1, a, Hongyu Wang2, b, Dongxing Cao3, c, Xiaoling Gai1, d Inernaonal Indsral Informacs and Comper Engneerng Conference (IIICEC 5) Dynamc Model of he Aally Movng Vscoelasc Bel Sysem wh Tensoner Plley Yanq L, a, Hongy Wang, b, Dongng Cao, c, Xaolng Ga, d Bejng

More information

Prediction of Wing Downwash Using CFD

Prediction of Wing Downwash Using CFD Predcon of Wng Downwash Usng CFD Mohammed MAHDI* *Correspondng ahor Aeronacal Research Cener-Sdan P.O. Bo 334 momahad7@homal.com DOI:.3/66-8.5.7.. 3 rd Inernaonal Worshop on Nmercal Modellng n Aerospace

More information

Decentralised Sliding Mode Load Frequency Control for an Interconnected Power System with Uncertainties and Nonlinearities

Decentralised 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 information

SMS-618, Particle Dynamics, Fall 2003 (E. Boss, last updated: 10/8/2003) Conservation equations in fluids

SMS-618, Particle Dynamics, Fall 2003 (E. Boss, last updated: 10/8/2003) Conservation equations in fluids SMS-68 Parcle Dnamcs Fall 3 (E. Boss las daed: /8/3) onseraon eqaons n flds onces e need: ensor (Sress) ecors (e.g. oson eloc) and scalars (e.g. S O). Prode means o descrbe conseraon las h comac noaon

More information

Computational results on new staff scheduling benchmark instances

Computational results on new staff scheduling benchmark instances TECHNICAL REPORT Compuaonal resuls on new saff shedulng enhmark nsanes Tm Curos Rong Qu ASAP Researh Group Shool of Compuer Sene Unersy of Nongham NG8 1BB Nongham UK Frs pulshed onlne: 19-Sep-2014 las

More information

Li An-Ping. Beijing , P.R.China

Li An-Ping. Beijing , P.R.China A New Type of Cpher: DICING_csb L An-Png Bejng 100085, P.R.Chna apl0001@sna.com Absrac: In hs paper, we wll propose a new ype of cpher named DICING_csb, whch s derved from our prevous sream cpher DICING.

More information

Superstructure-based Optimization for Design of Optimal PSA Cycles for CO 2 Capture

Superstructure-based Optimization for Design of Optimal PSA Cycles for CO 2 Capture Supersruure-asedOpmaonforDesgnof OpmalPSACylesforCO 2 Capure R. S. Kamah I. E. Grossmann L.. Begler Deparmen of Chemal Engneerng Carnege Mellon Unversy Psurgh PA 523 Marh 2 PSA n Nex Generaon Power Plans

More information

A Principled Approach to MILP Modeling

A Principled Approach to MILP Modeling A Prncpled Approach o MILP Modelng John Hooer Carnege Mellon Unvers Augus 008 Slde Proposal MILP modelng s an ar, bu need no be unprncpled. Slde Proposal MILP modelng s an ar, bu need no be unprncpled.

More information

DITAN: A TOOL FOR OPTIMAL SPACE TRAJECTORY DESIGN

DITAN: A TOOL FOR OPTIMAL SPACE TRAJECTORY DESIGN DITAN: A TOOL FOR OPTIMAL SPACE TRAJECTORY DESIGN Massmano Vase Deparmen o Aerospace Engneerng Gasgow Unversy Gasgow Ruedger Jehn ESA/ESOC Inroducon o DITAN Fna Remarks Agenda Oune DITAN (drec Inerpaneary

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 0 Canoncal Transformaons (Chaper 9) Wha We Dd Las Tme Hamlon s Prncple n he Hamlonan formalsm Dervaon was smple δi δ Addonal end-pon consrans pq H( q, p, ) d 0 δ q ( ) δq ( ) δ

More information

from normal distribution table It is interesting to notice in the above computation that the starting stock level each

from normal distribution table It is interesting to notice in the above computation that the starting stock level each Homeork Solon Par A. Ch a b 65 4 5 from normal dsrbon able Ths, order qany s 39-7 b o b5 from normal dsrbon able Ths, order qany s 9-7 I s neresng o noce n he above compaon ha he sarng sock level each

More information

Improvement of Two-Equation Turbulence Model with Anisotropic Eddy-Viscosity for Hybrid Rocket Research

Improvement of Two-Equation Turbulence Model with Anisotropic Eddy-Viscosity for Hybrid Rocket Research evenh Inernaonal onference on ompaonal Fld Dynamcs (IFD7), Bg Island, awa, Jly 9-, IFD7-9 Improvemen of Two-Eqaon Trblence Model wh Ansoropc Eddy-Vscosy for ybrd oce esearch M. Mro * and T. hmada ** orrespondng

More information

Journal of Engineering Science and Technology Review 9 (4) (2016) Research Article

Journal of Engineering Science and Technology Review 9 (4) (2016) Research Article Jesr Jornal of Engneerng Scence and echnolog Reew 9 (4) (6) - 9 Research Arcle Enhanced Veloc racng Conrol sng Hgher-Order Model-Free Adape Approach for Permanen Magne Snchronos Moor Feng Qao,, Zhzhen

More information

Motion of Wavepackets in Non-Hermitian. Quantum Mechanics

Motion of Wavepackets in Non-Hermitian. Quantum Mechanics Moon of Wavepaces n Non-Herman Quanum Mechancs Nmrod Moseyev Deparmen of Chemsry and Mnerva Cener for Non-lnear Physcs of Complex Sysems, Technon-Israel Insue of Technology www.echnon echnon.ac..ac.l\~nmrod

More information

Integration of Reliability- And Possibility-Based Design Optimizations Using Performance Measure Approach

Integration of Reliability- And Possibility-Based Design Optimizations Using Performance Measure Approach SAE Keynoe Paper: Cho, K.K., Youn, B.D., and Du, L., Inegraon of Relably- and Possbly-Based Desgn Opmzaons Usng Performance Measure Approach, 005 SAE World Congress, Aprl 11-14, 005, Dero, MI. 005-01-034

More information

Backcalculation Analysis of Pavement-layer Moduli Using Pattern Search Algorithms

Backcalculation Analysis of Pavement-layer Moduli Using Pattern Search Algorithms Bakallaon Analyss of Pavemen-laye Modl Usng Paen Seah Algohms Poje Repo fo ENCE 74 Feqan Lo May 7 005 Bakallaon Analyss of Pavemen-laye Modl Usng Paen Seah Algohms. Inodon. Ovevew of he Poje 3. Objeve

More information

CELLULAR AUTOMATA BASED PATH-PLANNING ALGORITHM FOR AUTONOMOUS MOBILE ROBOTS. Rami Al-Hmouz, Tauseef Gulrez & Adel Al-Jumaily

CELLULAR AUTOMATA BASED PATH-PLANNING ALGORITHM FOR AUTONOMOUS MOBILE ROBOTS. Rami Al-Hmouz, Tauseef Gulrez & Adel Al-Jumaily CELLULAR AUTOMATA BASED PATH-PLANNING ALGORITHM FOR AUTONOMOUS MOBILE ROBOTS Ram Al-Hmouz, Tauseef Gulrez & Adel Al-Jumaly Informaon and Communcaons Group ARC Cenre of Ecellence n Auonomous Sysems Unversy

More information

Research Article Cubic B-spline for the Numerical Solution of Parabolic Integro-differential Equation with a Weakly Singular Kernel

Research Article Cubic B-spline for the Numerical Solution of Parabolic Integro-differential Equation with a Weakly Singular Kernel Researc Jornal of Appled Scences, Engneerng and Tecnology 7(): 65-7, 4 DOI:.96/afs.7.5 ISS: 4-7459; e-iss: 4-7467 4 Mawell Scenfc Pblcaon Corp. Sbmed: Jne 8, Acceped: Jly 9, Pblsed: Marc 5, 4 Researc Arcle

More information

Outline. Probabilistic Model Learning. Probabilistic Model Learning. Probabilistic Model for Time-series Data: Hidden Markov Model

Outline. Probabilistic Model Learning. Probabilistic Model Learning. Probabilistic Model for Time-series Data: Hidden Markov Model Probablsc Model for Tme-seres Daa: Hdden Markov Model Hrosh Mamsuka Bonformacs Cener Kyoo Unversy Oulne Three Problems for probablsc models n machne learnng. Compung lkelhood 2. Learnng 3. Parsng (predcon

More information

Unknown Input High Gain Observer for Fault Detection and Isolation of Uncertain Systems

Unknown Input High Gain Observer for Fault Detection and Isolation of Uncertain Systems Engneerng Leer, 7:, EL_7 08 Unknown Inp Hgh Gan Observer or Fal Deecon and Isolaon o Unceran Sysems Sharddn Mondal*, G Chakrabory and K Bhaacharyya Absrac An nknown np hgh gan observer (UIHGO) based componen

More information

A Basic IGBT Model with Easy Parameter Extraction

A Basic IGBT Model with Easy Parameter Extraction A asc IG Model wh asy Parameer xracon Peer O. Larzen Unversy of Washngon, Seale, WA, USA (Aalborg Unversy, Denmark n 999) Ger K. Andersen Aalborg Unversy, Denmark Marn Helsper hrsan-albrechs-unversy of

More information

On One Analytic Method of. Constructing Program Controls

On One Analytic Method of. Constructing Program Controls Appled Mahemacal Scences, Vol. 9, 05, no. 8, 409-407 HIKARI Ld, www.m-hkar.com hp://dx.do.org/0.988/ams.05.54349 On One Analyc Mehod of Consrucng Program Conrols A. N. Kvko, S. V. Chsyakov and Yu. E. Balyna

More information

Different kind of oscillation

Different kind of oscillation PhO 98 Theorecal Qeson.Elecrcy Problem (8 pons) Deren knd o oscllaon e s consder he elecrc crc n he gre, or whch mh, mh, nf, nf and kω. The swch K beng closed he crc s copled wh a sorce o alernang crren.

More information

The Complexity of Agreement

The Complexity of Agreement The omplexy of Agreemen Sco Aaronson ABSTRAT A celebraed 1976 heorem of Amann assers ha Bayesan agens wh common prors can never agree o dsagree : f her opnons abo any opc are common knowledge, hen hose

More information

A Functional-Link-Based Fuzzy Neural Network for Temperature Control

A Functional-Link-Based Fuzzy Neural Network for Temperature Control Proceedngs of he 7 IEEE Symposm on Fondaons of Compaonal Inellgence (FOCI 7) A Fnconal-Ln-Based Fzzy Neral Neor for emperare Conrol Cheng-Hng Chen *, Chn-eng Ln, Fello, IEEE, and Cheng-Jan Ln, ember, IEEE

More information

Block 5 Transport of solutes in rivers

Block 5 Transport of solutes in rivers Nmeral Hydrals Blok 5 Transpor of soles n rvers Marks Holzner Conens of he orse Blok 1 The eqaons Blok Compaon of pressre srges Blok 3 Open hannel flow flow n rvers Blok 4 Nmeral solon of open hannel flow

More information

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4 CS434a/54a: Paern Recognon Prof. Olga Veksler Lecure 4 Oulne Normal Random Varable Properes Dscrmnan funcons Why Normal Random Varables? Analycally racable Works well when observaon comes form a corruped

More information

OPTIMIZATION OF A NONCONVENTIONAL ENGINE EVAPORATOR

OPTIMIZATION OF A NONCONVENTIONAL ENGINE EVAPORATOR Jornal of KONES Powerran and Transpor, Vol. 17, No. 010 OPTIMIZATION OF A NONCONVENTIONAL ENGINE EVAPORATOR Andre Kovalí, Eml Toporcer Unversy of Žlna, Facly of Mechancal Engneerng Deparmen of Aomove Technology

More information

January Examinations 2012

January Examinations 2012 Page of 5 EC79 January Examnaons No. of Pages: 5 No. of Quesons: 8 Subjec ECONOMICS (POSTGRADUATE) Tle of Paper EC79 QUANTITATIVE METHODS FOR BUSINESS AND FINANCE Tme Allowed Two Hours ( hours) Insrucons

More information

Numerical simulation of flow reattachment length in a stilling basin with a step-down floor

Numerical simulation of flow reattachment length in a stilling basin with a step-down floor 5 h Inernaonal Symposm on Hydralc Srcres Brsbane, Asrala, 5-7 Jne 04 Hydralc Srcres and Socey: Engneerng hallenges and Eremes ISBN 97874756 - DOI: 0.464/ql.04.3 Nmercal smlaon of flow reaachmen lengh n

More information

Online Supplement for Dynamic Multi-Technology. Production-Inventory Problem with Emissions Trading

Online 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 information

arxiv: v2 [math.ds] 22 Jan 2015

arxiv: v2 [math.ds] 22 Jan 2015 A Sum-of-Squares approach o he Sably and Conrol of Inerconneced Sysems usng Vecor Lyapunov Funcons* Soumya Kundu and Maran Anghel 2 arxv:5.5266v2 [mah.ds] 22 Jan 25 Absrac Sably analyss ools are essenal

More information

Solving Parabolic Partial Delay Differential. Equations Using The Explicit Method And Higher. Order Differences

Solving Parabolic Partial Delay Differential. Equations Using The Explicit Method And Higher. Order Differences Jornal of Kfa for Maemacs and Compe Vol. No.7 Dec pp 77-5 Solvng Parabolc Paral Delay Dfferenal Eqaons Usng e Eplc Meod And Hger Order Dfferences Asss. Prof. Amal Kalaf Haydar Kfa Unversy College of Edcaon

More information

An Autonomous Reactive Architecture for Efficient AUV Mission Time Management in Realistic Severe Ocean Environment

An Autonomous Reactive Architecture for Efficient AUV Mission Time Management in Realistic Severe Ocean Environment An Auonomous Reacve Archecure for Effcen AUV Msson Tme Managemen n Realsc evere Ocean Envronmen omaeh Mahmoud.Zadeh Davd M.W Powers Karl ammu enre for Marme Engneerng onrol and Imagng chool of ompuer cence

More information

ISSN MIT Publications

ISSN 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 information

An introduction to Support Vector Machine

An introduction to Support Vector Machine An nroducon o Suppor Vecor Machne 報告者 : 黃立德 References: Smon Haykn, "Neural Neworks: a comprehensve foundaon, second edon, 999, Chaper 2,6 Nello Chrsann, John Shawe-Tayer, An Inroducon o Suppor Vecor Machnes,

More information

T q (heat generation) Figure 0-1: Slab heated with constant source 2 = q k

T q (heat generation) Figure 0-1: Slab heated with constant source 2 = q k IFFERETIL EQUTIOS, PROBLE BOURY VLUE 5. ITROUCTIO s as been noed n e prevous caper, boundary value problems BVP for ordnary dfferenal equaons ave boundary condons specfed a more an one pon of e ndependen

More information

Donald J. Chmielewski

Donald J. Chmielewski (K P c ma (We Optmal Desgn of Smart Grd Coordnated Systems Donald J. Chmelews Department of Chemcal and Bologcal Engneerng Illnos Insttute of echnology 391.5 391 390.5 390 389.5 389 388.5 388 387.5 383

More information

Fall 2010 Graduate Course on Dynamic Learning

Fall 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 information

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!") i+1,q - [(!

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!) i+1,q - [(! ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL The frs hng o es n wo-way ANOVA: Is here neracon? "No neracon" means: The man effecs model would f. Ths n urn means: In he neracon plo (wh A on he horzonal

More information

Handout # 6 (MEEN 617) Numerical Integration to Find Time Response of SDOF mechanical system Y X (2) and write EOM (1) as two first-order Eqs.

Handout # 6 (MEEN 617) Numerical Integration to Find Time Response of SDOF mechanical system Y X (2) and write EOM (1) as two first-order Eqs. Handou # 6 (MEEN 67) Numercal Inegraon o Fnd Tme Response of SDOF mechancal sysem Sae Space Mehod The EOM for a lnear sysem s M X DX K X F() () X X X X V wh nal condons, a 0 0 ; 0 Defne he followng varables,

More information

A Cell Decomposition Approach to Online Evasive Path Planning and the Video Game Ms. Pac-Man

A 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 information

First-order piecewise-linear dynamic circuits

First-order piecewise-linear dynamic circuits Frs-order pecewse-lnear dynamc crcus. Fndng he soluon We wll sudy rs-order dynamc crcus composed o a nonlnear resse one-por, ermnaed eher by a lnear capacor or a lnear nducor (see Fg.. Nonlnear resse one-por

More information

2/20/2013. EE 101 Midterm 2 Review

2/20/2013. EE 101 Midterm 2 Review //3 EE Mderm eew //3 Volage-mplfer Model The npu ressance s he equalen ressance see when lookng no he npu ermnals of he amplfer. o s he oupu ressance. I causes he oupu olage o decrease as he load ressance

More information

Chapter 6: AC Circuits

Chapter 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 information

Dynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005

Dynamic 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 information

Rolling Generation Dispatch Based on Ultra-short-term Wind Power Forecast

Rolling Generation Dispatch Based on Ultra-short-term Wind Power Forecast Energy and Power Engneerng, 03, 5, 630-635 do:0.436/epe.03.54b Publsed Onlne July 03 (p://www.scrp.org/ournal/epe) Rollng Generaon Dspac Based on Ulra-sor-erm Wnd Power Forecas Qus Xu, Cangong Deng Scool

More information

Lecture 2 L n i e n a e r a M od o e d l e s

Lecture 2 L n i e n a e r a M od o e d l e s Lecure Lnear Models Las lecure You have learned abou ha s machne learnng Supervsed learnng Unsupervsed learnng Renforcemen learnng You have seen an eample learnng problem and he general process ha one

More information

An NLP Algorithm for Short Term Hydro Scheduling

An NLP Algorithm for Short Term Hydro Scheduling 56 NAIONAL POWER SYSEMS CONFERENCE, NPSC 00 An NLP Algorh for Shor er Hydro Schedlng R. Naresh and J. Shara Absrac: hs paper presens a ehod based on nonlnear prograng for shor er schedlng of hydro power

More information

Algorithm for Multi-Stage Scheduling in Intelligent Electric Transport System

Algorithm for Multi-Stage Scheduling in Intelligent Electric Transport System 8 h Inernaonal Symposm Topcal Problems n he Feld of Elecrcal and Power Engneerng Pärn, Esona, Janary 11-16, 21 Algorhm for Ml-Sage Schedlng n Inellgen Elecrc Transpor Sysem Ivars Alps, Mkhal Gorobez, Anaoly

More information

Variational method to the second-order impulsive partial differential equations with inconstant coefficients (I)

Variational method to the second-order impulsive partial differential equations with inconstant coefficients (I) Avalable onlne a www.scencedrec.com Proceda Engneerng 6 ( 5 4 Inernaonal Worksho on Aomoble, Power and Energy Engneerng Varaonal mehod o he second-order mlsve aral dfferenal eqaons wh nconsan coeffcens

More information

FI 3103 Quantum Physics

FI 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 information

A distributed optimization-based approach for hierarchical MPC of large-scale systems with coupled dynamics and constraints

A distributed optimization-based approach for hierarchical MPC of large-scale systems with coupled dynamics and constraints Delf Unversy of Technology Delf Cener for Sysems and Conrol Techncal repor 11-039 A dsrbued opmzaon-based approach for herarchcal MPC of large-scale sysems wh coupled dynamcs and consrans M.D. Doan, T.

More information

Higher Initial Value for Time Demand Analysis

Higher Initial Value for Time Demand Analysis Inernaonal Journal of Appled Engneerng Research ISSN 097-62 Volume, Number 8 (208) pp. 809-8 Research Inda Publcaons. hp://www.rpublcaon.com Hgher Inal Value for Tme Demand Analyss Saleh Alrashed Imam

More information