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

Unknown Author
4.9/5 (34336 ratings)
Description: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).We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Differential Neural Networks for Robust Nonlinear Control: Identification, State Estimation and Trajectory Tracking. To get started finding Differential Neural Networks for Robust Nonlinear Control: Identification, State Estimation and Trajectory Tracking, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
422
Format
PDF, EPUB & Kindle Edition
Publisher
World Scientific Publishing Company
Release
2010
ISBN
1281956732

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

Unknown Author
4.4/5 (1290744 ratings)
Description: 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).We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Differential Neural Networks for Robust Nonlinear Control: Identification, State Estimation and Trajectory Tracking. To get started finding Differential Neural Networks for Robust Nonlinear Control: Identification, State Estimation and Trajectory Tracking, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
422
Format
PDF, EPUB & Kindle Edition
Publisher
World Scientific Publishing Company
Release
2010
ISBN
1281956732
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