Neural Networks Modeling and Control Applications for Unknown Nonlinear Delayed Systems in Discrete Time
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Sprache:Englisch
Fr. 199.00
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Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
31.01.2020
Herausgeber
Edgar N. SanchezVerlag
Elsevier Science & TechnologySeitenzahl
158
Maße (L/B/H)
23.5/19.1/0.9 cm
Gewicht
285 g
Sprache
Englisch
ISBN
978-0-12-817078-6
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.
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.
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