Robust and adaptive model predictive control of non-linear systems

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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.

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

Author(s): Adetola, Veronica; DeHaan, Darryl; Guay, Martin
Series: IET control robotics and sensors series 83
Publisher: The Institution of Engineering and Technology
Year: 2015

Language: English
Pages: 252
Tags: Автоматизация;Теория автоматического управления (ТАУ);