Neural Networks Modeling and Control (ePub)

Name: Neural Networks Modeling and Control
Brand: Elsevier Science & Techn.
SKU: 138156307
Price: 131.00 EUR
Availability: OnlineOnly

Applications for Unknown Nonlinear Delayed Systems in Discrete Time (Sprache: Englisch)

Autoren: Jorge D. Rios , Alma Y Alanis , Nancy Arana-Daniel , mehr...

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Neural Networks Modeling and Control, Jorge D. Rios, Alma Y Alanis, Nancy Arana-Daniel, Carlos Lopez-Franco

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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...

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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.

Provide in-depth analysis of neural control models and methodologies
Presents a comprehensive review of common problems in real-life neural network systems
Includes an analysis of potential applications, prototypes and future trends

Autoren-Porträt von Jorge D. Rios, Alma Y Alanis, Nancy Arana-Daniel, Carlos Lopez-Franco

Jorge D. Rios, was born in Guadalajara, Jalisco, Mexico, in 1985. He received the B.Sc. degree in Computer Engineering, in 2009, the M.Sc. and Ph. D. degrees in Electronics and Computer Engineering, in 2014 and 2017, respectively, from University of Guadalajara. He is in a Postdoctoral position at University of Guadalajara. His research interests center on neural control, nonlinear time-delay systems and their applications to electrical machines and robotics.

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Bibliographische Angaben

Autoren: Jorge D. Rios , Alma Y Alanis , Nancy Arana-Daniel , Carlos Lopez-Franco
2020, 158 Seiten, Englisch
Verlag: Elsevier Science & Techn.
ISBN-10: 0128170794
ISBN-13: 9780128170793
Erscheinungsdatum: 15.01.2020

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Dateiformat: ePub
Größe: 24 MB
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Englisch

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