Neural Systems for Control

Nonfiction, Computers, Advanced Computing, Engineering, Neural Networks, Science & Nature, Technology, Chemical & Biochemical, General Computing
Cover of the book Neural Systems for Control by Omid Omidvar, David L. Elliott, Elsevier Science
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Author: Omid Omidvar, David L. Elliott ISBN: 9780080537399
Publisher: Elsevier Science Publication: February 24, 1997
Imprint: Academic Press Language: English
Author: Omid Omidvar, David L. Elliott
ISBN: 9780080537399
Publisher: Elsevier Science
Publication: February 24, 1997
Imprint: Academic Press
Language: English

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.

  • 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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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