Discrete-Time Inverse Optimal Control for Nonlinear Systems (PDF)
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This book presents a novel inverse optimal control approach for stabilization and trajectory tracking of discrete-time nonlinear systems. This approach avoids the need to solve the associated Hamilton-Jacobi-Bellman equation and minimizes a cost functional, resulting in efficient controllers. The book also proposes the use of recurrent neural networks to model discrete-time nonlinear systems. Combined with the inverse optimal control scheme, such models constitute a powerful tool to deal with uncertainties such as unmodeled dynamics and disturbances. Simulations illustrate the effectiveness of the synthesized controllers.
Fernando Ornelas-Tellez is currently a professor of electrical engineering at Michoacan University of Saint Nicholas of Hidalgo, Mexico. His research interests center on neural control, direct and inverse optimal control, passivity and their applications to biomedical systems, electrical machines, power electronics, and robotics.
- Autoren: Edgar N. Sanchez , Fernando Ornelas-Tellez
- 2017, 268 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1466580887
- ISBN-13: 9781466580886
- Erscheinungsdatum: 19.12.2017
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- Größe: 7.20 MB
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