Differential Neural Networks For Robust Nonlinear Control: Identification, State Estimation And Trajectory Tracking - Hardcover
Inhaltsangabe
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 (based on neuro-observers) 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 (robotic, chaotic, chemical, etc.).
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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 (based on neuro-observers) 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 (robotic, chaotic, chemical, etc.).
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Differential Neural Networks for Robust Nonlinear Control: Identification, State Estimation and Trajectory Tracking
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Differential Neural Networks for Robust Nonlinear Control: Identification, State Estimation and Trajectory Tracking
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Zustand: New. InhaltsverzeichnisTheoretical Study: Neural Networks Structures Nonlinear System Identification: Differential Learning Sliding Mode Identification: Algebraic Learning Neural State Estimation Passivation via Neuro Control Neuro Traje. Artikel-Nr. 909656695
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Differential Neural Networks for Robust Nonlinear Control: Identification, State Estimation and Trajectory Tracking
Verlag:
World Scientific Publishing Company Okt 2001, 2001
ISBN 10: 9810246242
ISBN 13: 9789810246242
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Buch. Zustand: Neu. Neuware - 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 (based on neuro-observers) 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 (robotic, chaotic, chemical, etc.). Artikel-Nr. 9789810246242
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