Constrained model predictive control for time-varying delay systems: Application to an active car suspension.

Autor: Bououden, Sofiane, Chadli, Mohammed, Zhang, Lixian, Yang, Ting
Zdroj: International Journal of Control, Automation & Systems; Feb2016, Vol. 14 Issue 1, p51-58, 8p
Abstrakt: This study investigates the problem of robust model predictive control (RMPC) for active suspension systems with time-varying delays and input constraints. The uncertainty is of convex polytopic type. Based on the Lyapunov-Krasovskii functional method, sufficient stability conditions of the time-varying delays systems are derived by linear matrix inequalities (LMIs) terms. At each time set, a feasible state feedback is obtained by minimizing an upper bound of the 'worst-case' quadratic objective function over an infinite horizon subject to constraints on inputs. Finally, a quarter-vehicle model is exploited to demonstrate the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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