This book offers a novel approach to adaptive control and provides a sound theoretical background to designing robust adaptive control systems with guaranteed transient performance. It focuses on the more typical role of adaptation as a means of coping with uncertainties in the system model.
This book offers a novel approach to adaptive control and provides a sound theoretical background to designing robust adaptive control systems with guaranteed transient performance. It focuses on the more typical role of adaptation as a means of coping with uncertainties in the system model.
Martin Guay is a Professor at the Faculty of Engineering and Applied Science at Queens University, Canada, where his research interests include process control, statistical modeling of dynamical systems, extremum seeking control, observation and adaptation in nonlinear systems, and supervisory control design for flexible manufacturing systems. He is Deputy Editor-in-Chief of the Journal of Process Control, and Associate Editor of Automatica, IEEE Transactions on Control Systems Technology and Canadian Journal of Chemical Engineering.
Inhaltsangabe
Chapter 1: Introduction Chapter 2: Optimal control Chapter 3: Review of nonlinear MPC Chapter 4: A real-time nonlinear MPC technique Chapter 5: Extensions for performance improvement Chapter 6: Introduction to adaptive robust MPC Chapter 7: Computational aspects of robust adaptive MPC Chapter 8: Finite-time parameter estimation in adaptive control Chapter 9: Performance improvement in adaptive control Chapter 10: Adaptive MPC for constrained nonlinear systems Chapter 11: Adaptive MPC with disturbance attenuation Chapter 12: Robust adaptive economic MPC Chapter 13: Set-based estimation in discrete-time systems Chapter 14: Robust adaptive MPC for discrete-time systems
