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Neural systems for control /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Omidvar, Omid, Elliott, David L. (David LeRoy), 1932-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: San Diego : Academic Press, ©1997.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario: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.
Descripción Física:1 online resource (xiii, 358 pages) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:9780125264303
0125264305
9780080537399
0080537391
1281038458
9781281038456