Differential Neural Networks for Robust Nonlinear Control: Identification, State Estimation and Trajectory Tracking - Hardcover
This volume 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).
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- PublisherWorld Scientific Publishing Co Pte Ltd
- Publication date2001
- ISBN 10 9810246242
- ISBN 13 9789810246242
- BindingHardcover
- Number of pages456
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Differential Neural Networks for Robust Nonlinear Control: Identification, State Estimation and Trajectory Tracking
Published by
World Scientific Pub Co Inc
(2001)
ISBN 10: 9810246242
ISBN 13: 9789810246242
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Hardcover
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Book Description Hardcover. Condition: Brand New. 500 pages. 8.75x6.50x1.25 inches. In Stock. Seller Inventory # __9810246242
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Differential Neural Networks For Robust Nonlinear Control: Identification, State Estimation And Trajectory Tracking (Hardcover)
Published by
World Scientific Publishing Co Pte Ltd, Singapore
(2001)
ISBN 10: 9810246242
ISBN 13: 9789810246242
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Hardcover
Quantity: 1
Seller:
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Book Description Hardcover. Condition: new. Hardcover. This volume 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). This volume 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9789810246242
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