Title :
Model predictive control for linear parameter varying systems using parameter dependent Lyapunov function
Author :
Wada, Nobutaka ; Saito, Koji ; Saeki, Masami
Author_Institution :
Dept. of Mech. Syst. Eng., Hiroshima Univ., Japan
Abstract :
In this paper, we propose a method for synthesizing a model predictive control (MPC) law for linear parameter varying (LPV) systems. The proposed MPC algorithm is reduced to the optimization problem with linear matrix inequality (LMI) constraints that are derived by using the parameter dependent Lyapunov function (PDLF). The proposed control law achieves less conservative results as compared with the existing method. A numerical example is provided to illustrate effectiveness of the proposed method.
Keywords :
Lyapunov methods; control system synthesis; linear matrix inequalities; linear systems; optimisation; predictive control; LMI constraints; control system synthesis; linear matrix inequality; linear parameter varying systems; model predictive control; optimization; parameter dependent Lyapunov function; Constraint optimization; Control systems; Lyapunov method; Mechanical systems; Predictive control; Predictive models; Processor scheduling; Stability; Systems engineering and theory; Time measurement;
Conference_Titel :
Circuits and Systems, 2004. MWSCAS '04. The 2004 47th Midwest Symposium on
Print_ISBN :
0-7803-8346-X
DOI :
10.1109/MWSCAS.2004.1354309
