Title :
Stabilization of discrete-time fuzzy systems via composite state and output feedback control design
Author_Institution :
Dept. of Electr. Eng., Fortune Inst. of Technol. Kaohsiung City, Kaohsiung, Taiwan
fDate :
May 31 2013-June 2 2013
Abstract :
In this paper, we propose the stabilization of discrete-time fuzzy systems. Firstly, the discrete-time fuzzy systems will be represented as a discrete-time descriptor fuzzy systems. Then, we propose using composite state and output feedback controller to stabilize the discrete-time descriptor fuzzy systems. Based on the Lyapunov stability theorem, we derive the linear matrix inequality (LMI) stability condition. The state and output feedback controller can easily be solved by using LMI control toolbox. A nonlinear circuit system is given to illustrate the validity of the proposed scheme.
Keywords :
Lyapunov methods; control system synthesis; discrete time systems; feedback; fuzzy systems; linear matrix inequalities; nonlinear systems; stability; LMI control toolbox; LMI stability condition; Lyapunov stability theorem; composite state controller design; discrete-time descriptor fuzzy systems; discrete-time fuzzy system stabilization; linear matrix inequality stability condition; nonlinear circuit system; output feedback controller design; Bismuth; Control design; Fuzzy control; Linear matrix inequalities; Lyapunov methods; Output feedback; composite state and output feedback controller; discrete-time descriptor fuzzy systems; discrete-time fuzzy systems; linear matrix inequality;
Conference_Titel :
Advanced Robotics and Intelligent Systems (ARIS), 2013 International Conference on
Conference_Location :
Tainan
Print_ISBN :
978-1-4799-0100-5
DOI :
10.1109/ARIS.2013.6573524