Discrete-time inverse optimal control for nonlinear systems / / Edgar N. Sanchez, Fernando Ornelas-Tellez.

"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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Superior document:System of systems engineering series
VerfasserIn:
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Place / Publishing House:Boca Raton, Florida : : CRC Press, Taylor & Francis Group,, [2013]
2013
Year of Publication:2013
Language:English
Series:System of systems engineering series.
Online Access:
Physical Description:1 online resource (258 pages) :; illustrations (some color).
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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 2013 
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 print version record. 
590 |a Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest 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. 
776 0 8 |i Print version:  |a Sanchez, Edgar N.  |t Discrete-time inverse optimal control for nonlinear systems.  |d Boca Raton, Fla : CRC Press, Taylor & Francis Group, [2013]  |h xxx, 232 pages ; 24 cm  |k System of systems engineering series  |z 9781466580879  |w (DLC)2012050923 
797 2 |a ProQuest (Firm) 
830 0 |a System of systems engineering series. 
856 4 0 |u https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=1220111  |z Click to View