Differential Neural Networks For Robust Nonlinear Control: Identification, State Estimation And Trajectory Tracking
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€215.76
A01=Alex Poznyak
A01=Edgar N Sanchez
A01=Wen Yu
Adaptive Control
Author_Alex Poznyak
Author_Edgar N Sanchez
Author_Wen Yu
Category=UYQN
Chaos Identification and Control
Chemical Process
Dynamic Neural Networks
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Lyapunov Method
Robust Control
Sliding Mode
Stability
State Estimation
System Identification
Product details
- ISBN 9789810246242
- Publication Date: 08 Oct 2001
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
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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.).
