Differential Neural Networks for Robust Nonlinear Control:...

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Differential Neural Networks for Robust...

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

Name: Differential Neural Networks for Robust Nonlinear Control: Identification, State Estimation and Trajectory Tracking
ISBN: 9789812811295

Alexander S. Poznyak, Edgar N. Sanchez, Wen Yu

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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).

Категории:

Computers - Computer Science

Год:

2001

Издание:

1st

Издательство:

World Scientific Publishing Company

Язык:

english

Страницы:

454