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portada Discrete-Time Inverse Optimal Control for Nonlinear Systems
Type
Physical Book
Publisher
Year
2013
Language
Inglés
Pages
268
Format
Hardcover
ISBN
1466580879
ISBN13
9781466580879

Discrete-Time Inverse Optimal Control for Nonlinear Systems

Edgar N. Sánchez (Author) · Fernando Ornelas-Tellez (Author) · CRC Press · Hardcover

Discrete-Time Inverse Optimal Control for Nonlinear Systems - Sanchez, Edgar N. ; Ornelas-Tellez, Fernando

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Synopsis "Discrete-Time Inverse Optimal Control for Nonlinear Systems"

Discrete-Time Inverse Optimal Control for Nonlinear Systems proposes a novel inverse optimal control scheme for stabilization and trajectory tracking of discrete-time nonlinear systems. This avoids the need to solve the associated Hamilton-Jacobi-Bellman equation and minimizes a cost functional, resulting in a more efficient controller.Design More Efficient Controllers for Stabilization and Trajectory Tracking of Discrete-Time Nonlinear SystemsThe book presents two approaches for controller synthesis: the first based on passivity theory and the second on a control Lyapunov function (CLF). The synthesized discrete-time optimal controller can be directly implemented in real-time systems. The book also proposes the use of recurrent neural networks to model discrete-time nonlinear systems. Combined with the inverse optimal control approach, such models constitute a powerful tool to deal with uncertainties such as unmodeled dynamics and disturbances.Learn from Simulations and an In-Depth Case StudyThe authors include a variety of simulations to illustrate the effectiveness of the synthesized controllers for stabilization and trajectory tracking of discrete-time nonlinear systems. An in-depth case study applies the control schemes to glycemic control in patients with type 1 diabetes mellitus, to calculate the adequate insulin delivery rate required to prevent hyperglycemia and hypoglycemia levels.The discrete-time optimal and robust control techniques proposed can be used in a range of industrial applications, from aerospace and energy to biomedical and electromechanical systems. Highlighting optimal and efficient control algorithms, this is a valuable resource for researchers, engineers, and students working in nonlinear system control.

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