Martin Guay, Veronica Adetola, Darryl DeHaan

Robust and Adaptive Model Predictive Control of Nonlinear Systems

• Gebundenes Buch

Produktbeschreibung

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.

---

Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Verlag: Institution of Engineering & Technology
• Seitenzahl: 272
• Erscheinungstermin: 13. November 2015
• Englisch
• Abmessung: 241mm x 164mm x 20mm
• Gewicht: 557g
• ISBN-13: 9781849195522
• ISBN-10: 1849195528
• Artikelnr.: 39361644

Autorenporträt

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