Adaptive Control, Filtering, and Signal Processing

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

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.

• Nonlinear system
• Signal
• adaptive control
• algorithm
• algorithms
• control
• feedback
• filtering
• nonlinear control
• signal processing
• stability
• system
• system identification

• 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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