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Differential Neural Networks for Robust Nonlinear Control: Identification, State Estimation and Trajectory Tracking

Edgar N. Sanchez

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This book deals with continuous time dynamic neural networks theory applied to the solution of basic problems in robust control theory, including identification, state space estimation and trajectory tracking. The plants to be identified and controlled are assumed to be a priori unknown but belonging to a given class containing internal unmodelled dynamics and external perturbations as well. The error stability analysis and the corresponding error bounds for different problems are presented. The effectiveness of the suggested approach is illustrated by its application to various controlled physical systems .

Language: English

Pages: 456

Format: Hardcover

Release: December 15, 2001

ISBN 13: 9789810246242

Differential Neural Networks for Robust Nonlinear Control: Identification, State Estimation and Trajectory Tracking

Edgar N. Sanchez

0/5 ( ratings)

This book deals with continuous time dynamic neural networks theory applied to the solution of basic problems in robust control theory, including identification, state space estimation and trajectory tracking. The plants to be identified and controlled are assumed to be a priori unknown but belonging to a given class containing internal unmodelled dynamics and external perturbations as well. The error stability analysis and the corresponding error bounds for different problems are presented. The effectiveness of the suggested approach is illustrated by its application to various controlled physical systems .

Language: English

Pages: 456

Format: Hardcover

Release: December 15, 2001

ISBN 13: 9789810246242

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