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Discrete-time inverse optimal control for nonlinear systems /

"This book presents a novel inverse optimal control approach for stabilization and trajectory tracking of discrete-time nonlinear systems, avoiding the need to solve the associated Hamilton-Jacobi-Bellman equation, and minimizing a cost functional, resulting in efficient controllers. Additional...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Sanchez, Edgar N. (Autor), Ornelas-Tellez, Fernando (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton, Florida : CRC Press, Taylor & Francis Group, [2013]
Colección:System of systems engineering series.
Temas:
Acceso en línea:Texto completo

MARC

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035 |a (OCoLC)847225855 
040 |a FINmELB  |b eng  |e rda  |c FINmELB 
050 4 |a QA402.35  |b .S36 2013 
082 0 |a 003.83  |b S211 
100 1 |a Sanchez, Edgar N.,  |e author. 
245 1 0 |a Discrete-time inverse optimal control for nonlinear systems /  |c Edgar N. Sanchez, Fernando Ornelas-Tellez. 
264 1 |a Boca Raton, Florida :  |b CRC Press, Taylor & Francis Group,  |c [2013] 
264 4 |c Ã2013 
300 |a 1 online resource (258 pages) :  |b illustrations (some color). 
336 |a text  |2 rdacontent 
337 |a computer  |2 rdamedia 
338 |a online resource  |2 rdacarrier 
490 1 |a System of systems engineering series 
504 |a Includes bibliographical references (pages 203-219) and index. 
505 0 |a ch. 1. Introduction -- ch. 2. Mathematical preliminaries -- ch. 3. Inverse optimal control : a passivity approach -- ch. 4. Inverse optimal control : a CLF approach, part I -- ch. 5. Inverse optimal control : a CLF approach, part II -- ch. 6. Neural inverse optimal control -- ch. 7. Glycemic control of type 1 diabetes mellitus patients -- ch. 8. Conclusions. 
520 |a "This book presents a novel inverse optimal control approach for stabilization and trajectory tracking of discrete-time nonlinear systems, avoiding the need to solve the associated Hamilton-Jacobi-Bellman equation, and minimizing a cost functional, resulting in efficient controllers. Additionally, the book proposes the use of recurrent neural networks as a tool to model discrete-time nonlinear systems; such models combined with the inverse optimal control constitute a powerful tool to deal with uncertainties such as unmodeled dynamics and disturbances. Different simulations illustrate the effectiveness of the synthesized controllers for stabilization and trajectory tracking of discrete-time nonlinear systems"--  |c Provided by publisher. 
588 |a Description based on metadata supplied by the publisher and other sources. 
590 |a Electronic reproduction. Santa Fe, Arg.: elibro, 2020. Available via World Wide Web. Access may be limited to eLibro affiliated libraries. 
650 0 |a Nonlinear control theory. 
650 0 |a Neural networks (Computer science) 
650 0 |a Discrete-time systems. 
650 0 |a Kalman filtering. 
655 4 |a Electronic books. 
700 1 |a Ornelas-Tellez, Fernando,  |e author. 
797 2 |a elibro, Corp. 
830 0 |a System of systems engineering series. 
856 4 0 |u https://elibro.uam.elogim.com/ereader/bidiuam/147476  |z Texto completo 
950 |a eLibro English