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. Additionally, th...
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| Main Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
Boca Raton, FL
CRC Press, Taylor & Francis Group
2013
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| Series: | System of systems engineering series
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| Subjects: | |
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| 008 | 221104 20132013flua bi 001 0 eng d | ||
| 020 | |a 9781466580879 | ||
| 039 | 9 | |a 202211041138 |b VLOAD |c 201604071104 |d faezah |c 201604071104 |d faezah |y 201512081602 |z zubir | |
| 040 | |a UPNM |b eng |c UPNM |e rda | ||
| 090 | |a QA 402.35 |b .S36 2013 | ||
| 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, FL |b CRC Press, Taylor & Francis Group |c 2013 | |
| 264 | 4 | |c © 2013 | |
| 300 | |a xxx, 232 pagers |b illustrations |c 24 cm. | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 400 | 0 | |a Edgar N. Sanchez | |
| 490 | 1 | |a System of systems engineering series | |
| 504 | |a Includes bibliographical references 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 | ||
| 592 | |a IN/30917 |b 16/03/2016 |c RM 16/03/2016 |h Bookline Services | ||
| 650 | 0 | |a Nonlinear control theory | |
| 650 | 0 | |a Neural networks (Computer science) | |
| 650 | 0 | |a Discrete-time systems | |
| 650 | 0 | |a Kalman Filtering | |
| 700 | 1 | |a Ornelas-Tellez, Fernando |e author | |
| 830 | 0 | |a System of systems engineering series | |
| 999 | |a vtls000055743 |c 97031 |d 97031 | ||