Adaptive and Learning Systems

1. Front Matter

   Pages i-viii

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2. Adaptive Control Theory

   1. Front Matter

      Pages 1-2

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   2. Robust Adaptive Control

      • Kumpati S. Narendra, Anuradha M. Annaswamy

      Pages 3-31

   3. Methods of Averaging for Adaptive Systems

      • Robert L. Kosut

      Pages 33-45

   4. A Robust Indirect Adaptive Control Approach

      • Gerhard Kreisselmeier

      Pages 47-55

   5. Global Stability of a Direct Adaptive Control Scheme With Respect to a Graph Topology

      • L. Praly

      Pages 57-72

   6. Robust Discrete-Time Adaptive Control

      • Petros Ioannou, Kostas Tsakalis

      Pages 73-85

   7. Identification and Adaptive Control of Linear Stochastic Systems

      • P. R. Kumar

      Pages 87-102

3. Adaptive Control Applications

   1. Front Matter

      Pages 103-104

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   2. On Practical Implementations of Adaptive Control

      • C. C. Hang, K. W. Lim, T. T. Tay

      Pages 105-118

   3. Self Tuning and Adaptive Control of Chemical Processes

      • Scott A. Chesna, B. Erik Ydstie

      Pages 119-130

   4. Application of Multivariable Adaptive Control Schemes to Distillation Columns

      • H. Unbehauen, P. Wiemer

      Pages 131-147

   5. The EXACT Pattern Recognition Adaptive Controller, a User-Oriented Commercial Success

      • E. H. Bristol

      Pages 149-163

   6. Self-Cohering a Large, Distorted Antenna for Microwave Imaging

      • Bernard D. Steinberg

      Pages 165-173

   7. Identification of Robot Dynamics: An Application of Recursive Estimation

      • Charles P. Neuman, Pradeep K. Khosla

      Pages 175-194

4. Learning Systems

   1. Front Matter

      Pages 195-196

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   2. Recent Developments in Learning Automata

      • Kumpati S. Narendra, Richard M. Wheeler Jr.

      Pages 197-211

   3. Learning Automata Models for Adaptive Flow Control in Packet-Switching Networks

      • L. G. Mason, XueDuo Gu

      Pages 213-227

   4. Application of Learning Automata to Image Data Compression

      • A. A. Hashim, S. Amir, P. Mars

      Pages 229-234

   5. Cooperativity in Networks of Pattern Recognizing Stochastic Learning Automata

      • Andrew G. Barto, P. Anandan, Charles W. Anderson

      Pages 235-246

This volume offers a glimpse of the status of research in adaptive and learning systems in 1985. In recent years these areas have spawned a multiplicity of ideas so rapidly that the average research worker or practicing engineer is overwhelmed by the flood of information. The Yale Workshop on Applications of Adaptive Systems Theory was organized in 1979 to provide a brief respite from this deluge, wherein critical issues may be examined in a calm and collegial environment. The fourth of the series having been held in May 1985, it has now become well established as a biennial forum for the lively exchange of ideas in the ever changing domain of adaptive systems. The scope of this book is broad and ranges from theoretical investigations to practical applications. It includes twenty eight papers by leaders in the field, selected from the Pro­ ceedings of the Fourth Yale Workshop and divided into five sections. I have provided a brief introduction to each section so that it can be read as a self-contained unit. The first section, devoted to adaptive control theory, suggests the intensity of activity in the field and reveals signs of convergence towards some common themes by workers with rather different moti­ vation. Preliminary results concerning the reduced order model problem are dramatically changing the way we view the field and bringing it closer to other areas such as robust linear control where major advances have been recently reported.

• Adaptive control
• Adaptive systems
• Volume
• average
• control
• convergence
• field
• form
• forum
• information
• learning
• learning systems
• model
• systems theory
• themes

• Center for Systems Science, Yale University, New Haven, USA

  Kumpati S. Narendra

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