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Adaptive and Learning Systems by Kuptati S. Narendra

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Published by Springer .
Written in English

Subjects:

  • Logic,
  • Robotics,
  • Mathematics,
  • Mathematics / Logic,
  • Systems Analysis (Computer Science),
  • Technology & Industrial Arts,
  • Adaptive control systems,
  • Congresses

Book details:

The Physical Object
FormatHardcover
Number of Pages426
ID Numbers
Open LibraryOL9482322M
ISBN 100306422638
ISBN 109780306422638

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This book is devoted to the “Intelligent and Adaptive Educational-Learning Systems”. It privileges works that highlight key achievements and outline trends to inspire future research. After a rigorous revision process twenty manuscripts were accepted and organized into four parts: Modeling, Content, Virtuality and : Hardcover. Professor Zaknich provides an ideal textbook for one-semester introductory graduate or senior undergraduate courses in adaptive and self-learning systems for signal processing applications. Important topics are introduced and discussed sufficiently to give the reader adequate background for confident further by: This book is devoted to the “Intelligent and Adaptive Educational-Learning Systems”. It privileges works that highlight key achievements and outline trends to inspire future research. After a rigorous revision process twenty manuscripts were accepted and organized into four parts: Modeling, Content, Virtuality and Applications. This volume offers a glimpse of the status of research in adaptive and learning systems in 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.

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Professor Zaknich provides an ideal textbook for one-semester introductory graduate or senior undergraduate courses in adaptive and self-learning systems for signal processing applications. Important topics are introduced and discussed sufficiently to give the reader adequate background for confident further investigation. This correlation-based approach to building complex, reliable (robust), and adaptive systems is vital for engineers, researchers, and graduate students from various fields of science and by: Book review: Adaptive and Learning Systems Warwick, K. Details; Contributors; Fields of science; Bibliography; Quotations; Similar; Collections; Source. IEE Proceedings D - Control Theory and Applications > > > 3 > - Identifiers. journal ISSN: Cited by: 3. This book focuses on a specific subclass of adaptive control, namely, learning-based adaptive control. As systems evolve during time or are exposed to unstructured environments, it is expected that some of their characteristics may change. This book offers a new perspective about how to .