Neural Systems for Control
Autor Omid Omidvar, David L. Elliotten Limba Engleză Hardback – 23 feb 1997
- 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
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Specificații
ISBN-13: 9780125264303
ISBN-10: 0125264305
Pagini: 358
Dimensiuni: 152 x 229 x 22 mm
Greutate: 0.69 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0125264305
Pagini: 358
Dimensiuni: 152 x 229 x 22 mm
Greutate: 0.69 kg
Editura: ELSEVIER SCIENCE
Public țintă
Researchers and practicioners in the fields of neural networks, control engineering, mechanical engineering, and electrical engineering.Cuprins
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.