Title :
MPC for Wiener systems
Author :
Bloemen, H.H.J. ; van den Boom, T.J.J.
Author_Institution :
Dept. of Inf. Technol. & Syst., Delft Univ. of Technol., Netherlands
Abstract :
Wiener systems are characterized by a linear dynamic block followed by a static nonlinearity. In the paper a model-based predictive control (MPC) strategy is proposed for this type of systems. In this MPC algorithm the static nonlinearity is transformed into a polytopic uncertainty description of the output mapping which enables the use of robust linear MPC techniques. The optimization problem is given by a linear objective function subject to linear matrix inequalities. Nominal closed loop stability of this Wiener MPC strategy can be guaranteed
Keywords :
matrix algebra; optimisation; predictive control; robust control; Wiener systems; linear dynamic block; linear matrix inequalities; linear objective function; model-based predictive control strategy; nominal closed loop stability; static nonlinearity; Ear; Information technology; Iterative algorithms; Linear matrix inequalities; Linearity; Nonlinear dynamical systems; Predictive control; Predictive models; Stability; Uncertainty;
Conference_Titel :
Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5250-5
DOI :
10.1109/CDC.1999.833267
