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Adaptive and Learning Systems : Theory and Applications / edited by Kumpati S. Narendra

データ種別 電子ブック
出版者 Boston, MA : Springer US : Imprint: Springer
出版年 1986
本文言語 英語
大きさ VIII, 418 p. 18 illus : online resource

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URL 電子ブック


EB0079932

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内容注記 Adaptive Control Theory
Robust Adaptive Control
Methods of Averaging for Adaptive Systems
A Robust Indirect Adaptive Control Approach
Global Stability of a Direct Adaptive Control Scheme With Respect to a Graph Topology
Robust Discrete-Time Adaptive Control
Identification and Adaptive Control of Linear Stochastic Systems
Adaptive Control Applications
On Practical Implementations of Adaptive Control
Self Tuning and Adaptive Control of Chemical Processes
Application of Multivariable Adaptive Control Schemes to Distillation Columns
The Exact Pattern Recognition Adaptive Controller, a User-Oriented Commercial Success
Self-Cohering a Large. Distorted Antenna for Microwave Imaging
Identification of Robot Dynamics: An Application of Recursive Estimation
Learning Systems
Recent Developments in Learning Automata
Learning Automata Models for Adaptive Flow Control in Packet-Switching Networks
Application of Learning Automata to Image Data Compression
Cooperativity in Networks of Pattern Recognizing Stochastic Learning Automata
The Genetic Algorithm Approach: Why. How, and What Next?
Knowledge Growth in an Artificial Animal
Control of Flexible Space Structures
Issues in Control Design for Large Space Structures
Progress in Adaptive Control of Flexible Spacecraft Using Lattice Filters
The Search for Appropriate Actuator Distribution Criteria in Large Space Structures Control
Direct Model Reference Adaptive Control in Infinite-Dimensional Hilbert Space
Robotics
A Survey on Advances in the Theory of Computational Robotics
Continuous Robot Motion Planning In Unknown Environment
Impedance Control Applied to Automated Deburring
The Potential Field Approach And Operational Space Formulation In Robot Control
Mathematical Theory of Learning with Applications to Robot Control
Automatic Planning and Control of Robot Natural Motion Via Feedback
Authors’ Index
一般注記 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
著者標目 Narendra, Kumpati S. editor
SpringerLink (Online service)
件 名 LCSH:Mathematics
LCSH:Mathematical logic
FREE:Mathematics
FREE:Mathematical Logic and Foundations
分 類 DC23:511.3
巻冊次 ISBN:9781475718959 REFWLINK
ISBN 9781475718959
URL http://dx.doi.org/10.1007/978-1-4757-1895-9
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