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Neural Networks Modeling and Control
Applications for Unknown Nonlinear Delayed Systems in Discrete Time
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9780128170793
Veröffentl:
2020
Seiten:
158
Autor:
Jorge D. Rios
eBook Typ:
EPUB
eBook Format:
EPUB
Kopierschutz:
2 - DRM Adobe
Sprache:
Englisch
Beschreibung:
Neural Networks Modelling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time focuses on modeling and control of discrete-time unknown nonlinear delayed systems under uncertainties based on Artificial Neural Networks. First, a Recurrent High Order Neural Network (RHONN) is used to identify discrete-time unknown nonlinear delayed systems under uncertainties, then a RHONN is used to design neural observers for the same class of systems. Therefore, both neural models are used to synthesize controllers for trajectory tracking based on two methodologies: sliding mode control and Inverse Optimal Neural Control.
1. Introduction 2. Mathematical preliminaries 3. Recurrent high order neural network identification of nonlinear discrete-time unknown system with time-delays 4. Neural identifier-control scheme for nonlinear discrete-time unknown system with time-delays 5. Recurrent high order neural network observer of nonlinear discrete-time unknown systems with time-delays 6. Neural observer-control scheme for nonlinear discrete-time unknown system with time-delays 7. Concluding remarks and future trends
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