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- Dalykinė ir mokslinė literatūra
- Technologijos mokslai
- Kitos technologijų mokslų knygos
- Neural Networks Modeling and Control
Neural Networks Modeling and Control
ISBN: 9780128170786
Autorius : Carlos Lopez-Franco
Leidimo metai: 2020
Leidėjas: Academic Press
Leidinio kalba: Anglų
Formatas: Minkšti viršeliai
Formatas: 9.25×7.5
Autorius : Carlos Lopez-Franco
Leidimo metai: 2020
Leidėjas: Academic Press
Leidinio kalba: Anglų
Formatas: Minkšti viršeliai
Formatas: 9.25×7.5
Aprašymas
<p><i>Neural Networks Modelling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time </i>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.</p> <p>As well as considering the different neural control models and complications that are associated with them, this book also analyzes potential applications, prototypes and future trends.</p>
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