Neural systems for control /

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Bibliographic Details
Imprint:	San Diego : Academic Press, ©1997.
Description:	1 online resource (xiii, 358 pages) : illustrations
Language:	English
Subject:	Neural networks (Computer science) Automatic control. Automatic control. Neural networks (Computer science) Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11153511

Hidden Bibliographic Details
Other authors / contributors:	Omidvar, Omid. Elliott, David L. (David LeRoy), 1932-
ISBN:	9780125264303 0125264305 9780080537399 0080537391 1281038458 9781281038456
Notes:	Includes bibliographical references and index. Print version record.
Summary:	Control problems offer an industrially important application and a guide to understanding control systems for those working in Neural Networks. Neural Systems for Control represents the most up-to-date developments in the rapidly growing aplication area of neural networks and focuses on research in natural and artifical neural systems directly applicable to control or making use of modern control theory. The book covers such important new developments in control systems such as intelligent sensors in semiconductor wafer manufacturing; the relation between muscles and cerebral neurons in speech recognition; online compensation of reconfigurable control for spacecraft aircraft and other systems; applications to rolling mills, robotics and process control; the usage of past output data to identify nonlinear systems by neural networks; neural approximate optimal control; model-free nonlinear control; and neural control based on a regulation of physiological investigation/blood pressure control. All researchers and students dealing with control systems will find the fascinating Neural Systems for Control of immense interest and assistance. Key Features * Focuses on research in natural and artifical neural systems directly applicable to contol or making use of modern control theory * Represents the most up-to-date developments in this rapidly growing application area of neural networks * Takes a new and novel approach to system identification and synthesis.
Other form:	Print version: Neural systems for control. San Diego : Academic Press, ©1997 0125264305 9780125264303

Table of Contents:

Introduction: Neural Networks and Automatic Control
Reinforcement Learning
Neurocontrol in Sequence Recognition
A Learning Sensorimotor Map of Arm Movements: A Step Toward Biological Arm Control
Neuronal Modeling of the Baroceptor Reflex with Applications in Process Modeling and Control
Identification of Nonlinear Dynamical Systems Using Neural Networks
Neural Network Control of Robot Arms and Nonlinear Systems
Neual Networks for Intelligent Sensors and Control-PracticalIssues and Some Solutions
Approximation of Time-Optimal Control for an Industrial Production Plant with General Regression Neural Network
Neuro-Control Design: Reconfigurable Neural Control in Precision Space Structural Platforms
Neural Approximationsfor Finite- and Infinite-Horizon Optimal Control
Index

Neural systems for control /

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