Homework Help, Textbook Solutions & Study Documents for Iterative Learning Control: Robustness and Monotonic...

Iterative Learning Control: Robustness and Monotonic Convergence for Interval Systems (Communications and Control Engineering)
Iterative Learning Control: Robustness and Monotonic Convergence for Interval Systems (Communications and Control Engineering)

Author: Hyo-Sung Ahn, Kevin L. Moore, YangQuan Chen

ISBN: 9781846288463

Documents: 15

Buy Iterative Learning Control: Robustness and Monotonic Convergence for Interval Systems (Communications and Control Engineering) from Amazon

Join now for free to access any of the below study materials that we've found may be relevant to this textbook

Browse Study Materials for this Textbook

  • MIT-2003-Uncertainty
    35 Pages
    Register Now
    MIT-2003-Uncertainty
    Course: MIT 2003
    School: Cornell

    A spectral stochastic approach to the inverse heat conduction problem V.A.Badri Narayanan and Nicholas Zabaras Materials Process Design and Control Laboratory Sibley School of Mechanical and Aerospace Engineering 188 Frank H. T. Rhodes Hall Cornell U

  • sen
    4 Pages
    Register Now
    sen
    Course: SEG 2002
    School: University of Texas

    Two Problems in Pre-stack inversion: Optimal Regularization and Computation of Differential Seismograms Mrinal K. Sen* and Indrajit G. Roy University of Texas at Austin Austin, Tx, USA Summary Like many other inverse problems, pre-stack waveform inve

  • Wildey
    30 Pages
    Register Now
    Wildey
    Course: AFFILIATES 2007
    School: University of Texas

    Project Goals Stochastic Methods Model Problem Future Work Uncertainty Quantification and Error Estimation T. M. Wildey1 1 Center for Subsurface Modeling Institute for Computational and Engineering Sciences The University of Texas October 23, 2007

  • tr-2005-09
    36 Pages
    Register Now
    tr-2005-09
    Course: TR 2005
    School: Columbia

    CORC Report TR-2005-09 Computing robust basestock levels Daniel Bienstock and Nuri Ozbay Columbia University New York, NY 10027 November 2005 (version 1-19-2006) Abstract This paper considers how to optimally set the basestock level for a single bue

  • luethi-pmccs3
    70 Pages
    Register Now
    luethi-pmccs3
    Course: PMCCS 3
    School: University of Illinois, Urbana Champaign

    Analysis of Computer and Communication Systems with Uncertainties and Variabilities in Workload Johannes Luthi and Gunter Haring Institut fur Angewandte Informatik und Informationssysteme Universitat Wien Lenaugasse 2 8, A-1080 Wien, Austria Email: l

  • chap12notes
    33 Pages
    Register Now
    chap12notes
    Course: ECON 288
    School: Stanford

    Numerical Methods in Economics MIT Press, 1998 Chapter 12 Notes Numerical Dynamic Programming Kenneth L. Judd Hoover Institution November 15, 2002 1 Discrete-Time Dynamic Programming Objective: E t=1 T (xt, ut, t) + W (xT +1) , (12.1.1) - X: se

  • chap12notes
    32 Pages
    Register Now
    chap12notes
    Course: ECON 418002
    School: Stanford

    Numerical Methods in Economics MIT Press, 1998 Chapter 12 Notes Numerical Dynamic Programming Kenneth L. Judd Hoover Institution November 7, 2004 1 Discrete-Time Dynamic Programming Objective: E t=1 T (xt, ut, t) + W (xT +1) , (12.1.1) - X: set

  • toc
    21 Pages
    Register Now
    toc
    Course: MED 10
    School: Oakland University

    IEEE Mediterranean Conference on Control and Automation, 2002 Instituto Superior Tcnico, Portugal July 9-12, 2002 TABLE OF CONTENTS MED2002 Tuesday, July 10 PLENARY TALK DOMESTIC ROBOTS H.I. Christensen, Royal Institute of Technology, Sweeden TUTOR

  • 07_Roots
    36 Pages
    Register Now
    07_Roots
    Course: BSTA 670
    School: UPenn

    BSTA 670 (Fall 2008) - Statistical Computing Lecture 7 Roots of Nonlinear Equations 1 / 36 Roots of Nonlinear Equations Given a known function f , the zeros of f are the values of x that satisfy the equation f (x) = 0; the same values of x are also

  • Lecture14
    15 Pages
    Register Now
    Lecture14
    Course: IE 417
    School: Lehigh

    Advanced Mathematical Programming IE417 Lecture 14 Dr. Ted Ralphs IE417 Lecture 14 1 Reading for This Lecture Sections 8.1-8.5 IE417 Lecture 14 2 One-dimensional Line Search One-dimensional line search is the fundamental subproblem for many n

  • lecture07
    73 Pages
    Register Now
    lecture07
    Course: ME 450
    School: Lehigh

    Lectures 1522 (Week 8-11) Chapter 8: Robust Stability and Performance Analysis for MIMO Systems Eugenio Schuster schuster@lehigh.edu Mechanical Engineering and Mechanics Lehigh University Lectures 1522 (Week 8-11) p. 1/73 Uncertainty in MIMO Syst

  • mdp
    8 Pages
    Register Now
    mdp
    Course: CPS 271
    School: Duke

    Decision Theory and Markov Decision Processes (MDPs) The Winding Path to RL Decision Theory Descriptive theory of optimal behavior Markov Decision Processes Mathematical/Algorithmic realization of Decision Theory Application of learning techn

  • VenkTongSwami06ICASSP
    Register Now
    VenkTongSwami06ICASSP
    Course: ACSP 06
    School: Cornell

    MINIMAX QUANTIZATION FOR DISTRIBUTED MAXIMUM LIKELIHOOD ESTIMATION Parvathinathan Venkitasubramaniam, Lang Tong, and Ananthram Swami ABSTRACT We consider the design of quantizers for the distributed estimation of a deterministic parameter, when the

  • nonlinear
    7 Pages
    Register Now
    nonlinear
    Course: V 22
    School: NYU

    Nonlinear equations and optimization Jonathan Goodman April 8, 1999 1 Introduction This section discusses numerical solution of systems of nonlinear equations and the problem of nding the maximum or minimum of a smooth function of one or more vari

  • YuanLiACC06
    Register Now
    YuanLiACC06
    Course: ME 06
    School: Minnesota

    Proceedings of the 2006 American Control Conference Minneapolis, Minnesota, USA, June 14-16, 2006 FrA13.1 Extension of Robust Design of Unstable Valve: Diagonally Structured Uncertainty QingHui Yuan , Perry Y. Li where SS (K) is given by Eq. (1) wi

Don’t see what you’re looking for? Ask a Tutor your question!

Check out Tips for Asking Questions or view some Sample Questions before you ask a question
116 experts online.
Upload File(s)
0 file(s) attached
    No Files Attached

Joe Vela

Newark, DE

Supplementing your notes from class with uploads from other students.

View Profile »

Jordan Macdonald

Los Angeles, CA

The best thing about Course Hero is the free course material to study from.

View Profile »
Make Course Hero even better! Share quality content with your peers
Share high quality study materials and earn Premier access
Create free flashcard sets to master any subject
Upgrade to Course Hero Premier

Download quality study guides, lecture notes, practice problems.

24/7 Access to Tutors Up to $100 in tutor credits to ask all your questions.

Learn 93% of our premier members earn better grades