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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.
List of contents
- 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
About the author
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.
Summary
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.
