Title :
Sampled-data control based on the observer for linear hybrid systems
Author :
Yan-Hui Li ; Xiu-Jie Zhou
Author_Institution :
Coll. of Electr. & Inf. Eng., Northeast Pet. Univ., Daqing, China
Abstract :
In this paper, a H-infinity sampled-data control problem based on the observer for linear hybrid systems is presented. The hybrid system is mapped to the continuous-time domain and modeled as an augmented continuous one, where the control input and the measurement output have piecewise-continuous delays. A sufficient condition is derived to guarantee the closed-loop system is asymptotically stable and has a H∞ performance level γ via Lyapunov-krasovskii functional method. The singular value decomposition approach is extended to resolve the nonlinear terms of the condition and the control problem is solved in forms of linear matrix inequalities. This approach gives a good solution to the unpredictable state problem in sampled-data control. A numerical example is given to demonstrate the validity of the proposed approach.
Keywords :
H∞ control; Lyapunov methods; asymptotic stability; closed loop systems; continuous time systems; delays; linear matrix inequalities; nonlinear control systems; observers; singular value decomposition; H-infinity sampled data control problem; H∞ performance level; Lyapunov-krasovskii functional method; asymptotically stable; closed-loop system; continuous-time domain; linear hybrid systems; linear matrix inequalities; nonlinear terms; observer; piecewise continuous delays; sampled data control; singular value decomposition; Abstracts; Robustness; H-infinity control; Hybrid system; Linear matrix inequality; Observer; Sampled-data;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location :
Tianjin
DOI :
10.1109/ICMLC.2013.6890386