Adaptive and Learning Systems

Theory and Applications

  • Kumpati S. Narendra

Table of contents

  1. Front Matter
    Pages i-viii
  2. Adaptive Control Theory

    1. Front Matter
      Pages 1-2
    2. Kumpati S. Narendra, Anuradha M. Annaswamy
      Pages 3-31
    3. Robert L. Kosut
      Pages 33-45
    4. Gerhard Kreisselmeier
      Pages 47-55
    5. Petros Ioannou, Kostas Tsakalis
      Pages 73-85
  3. Adaptive Control Applications

    1. Front Matter
      Pages 103-104
    2. C. C. Hang, K. W. Lim, T. T. Tay
      Pages 105-118
    3. Scott A. Chesna, B. Erik Ydstie
      Pages 119-130
    4. Charles P. Neuman, Pradeep K. Khosla
      Pages 175-194
  4. Learning Systems

    1. Front Matter
      Pages 195-196
    2. Kumpati S. Narendra, Richard M. Wheeler Jr.
      Pages 197-211
    3. A. A. Hashim, S. Amir, P. Mars
      Pages 229-234
    4. Andrew G. Barto, P. Anandan, Charles W. Anderson
      Pages 235-246

About this book

Introduction

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.

Keywords

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

Editors and affiliations

  • Kumpati S. Narendra
    • 1
  1. 1.Center for Systems ScienceYale UniversityNew HavenUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4757-1895-9
  • Copyright Information Springer-Verlag US 1986
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4757-1897-3
  • Online ISBN 978-1-4757-1895-9
  • About this book