Robust and Adaptive Model Predictive Control of Nonlinear Systems (Iet Control, Robotics and Sensors)

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.

Topics covered include an introduction to the subject; a minimally conservative perspective; an eye towards computational simplicity; estimation in adaptive control; performance improvement in adaptive control; and robust adaptive model predictive control for systems with exogeneous disturbances. This is essential reading for academics and advanced students working in control theory and applications.