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Adaptive Control, Filtering, and Signal Processing

  • Conference proceedings
  • © 1995

Overview

Editors:
  1. K. J. Åström

    1. Department of Automatic Control, Lund Institute of Technology, Lund, Sweden

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  2. G. C. Goodwin

    1. Department of Electrical Engineering and Computer Science, The University of Newcastle, Newcastle, Australia

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  3. P. R. Kumar

    1. Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: The IMA Volumes in Mathematics and its Applications (IMA, volume 74)

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Table of contents (18 papers)

  1. Front Matter

    Pages i-xviii
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  2. Oscillations in Systems with Relay Feedback

    • Karl J. ÅStröM
    Pages 1-25

  3. Compatibility of Stochastic and Worst Case System Identification: Least Squares, Maximum Likelihood and General Cases

    • Er-Wei Bai, Mark S. Andersland
    Pages 27-41

  4. Some Results for the Adaptive Boundary Control of Stochastic Linear Distributed Parameter Systems

    • T. E. Duncan
    Pages 43-64

  5. LMS is H ∞ Optimal

    • Babak Hassibi, Ali H. Sayed, Thomas Kailath
    Pages 65-88

  6. Adaptive Control of Nonlinear Systems: A Tutorial

    • Ioannis Kanellakopoulos
    Pages 89-133

  7. Design Guidelines for Adaptive Control with Application to Systems with Structural Flexibility

    • Joy H. Kelly, B. Erik Ydstie
    Pages 135-163

  8. Estimation-Based Schemes for Adaptive Nonlinear State-Feedback Control*

    • Miroslav Krstić, Petar V. Kokotović
    Pages 165-198

  9. An Adaptive Controller Inspired by Recent Results on Learning from Experts

    • P. R. Kumar
    Pages 199-204

  10. Stochastic Approximation with Averaging and Feedback: Faster Convergence

    • Harold J. Kushner, Jichuan Yang
    Pages 205-228

  11. Building Models from Frequency Domain Data

    • Lennart Ljung
    Pages 229-239

  12. Supervisory Control

    • A. S. Morse
    Pages 241-270

  13. Potential Self-Tuning Analysis of Stochastic Adaptive Control

    • Karim Nassiri-Toussi, Wei Ren
    Pages 271-298

  14. Stochastic Adaptive Control

    • B. Pasik-Duncan
    Pages 299-325

  15. Optimality of the Adaptive Controllers

    • Miloje S. Radenkovic, B. Erik Ydstie
    Pages 327-344

  16. Uncertain Real Parameters with Bounded Rate of Variation

    • Anders Rantzer
    Pages 345-349

  17. Averaging Methods for the Analysis of Adaptive Algorithms

    • Victor Solo
    Pages 351-358

  18. A Multilinear Parametrization Approach for Identification of Partially Known Systems

    • Jing Sun
    Pages 359-373

  19. Adaptive Filtering with Averaging

    • G. Yin
    Pages 375-396
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Keywords

About this book

The area of adaptive systems, which encompasses recursive identification, adaptive control, filtering, and signal processing, has been one of the most active areas of the past decade. Since adaptive controllers are fundamentally nonlinear controllers which are applied to nominally linear, possibly stochastic and time-varying systems, their theoretical analysis is usually very difficult. Nevertheless, over the past decade much fundamental progress has been made on some key questions concerning their stability, convergence, performance, and robustness. Moreover, adaptive controllers have been successfully employed in numerous practical applications, and have even entered the marketplace.

Editors and Affiliations

  • Department of Automatic Control, Lund Institute of Technology, Lund, Sweden

    K. J. Åström

  • Department of Electrical Engineering and Computer Science, The University of Newcastle, Newcastle, Australia

    G. C. Goodwin

  • Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, USA

    P. R. Kumar

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