Title :
Enhanced LMI conditions for quadratic fuzzy control design
Author :
Krokavec, Dusan ; Filasova, Anna
Author_Institution :
Dept. of Cybern. & Artificial Intell., Tech. Univ. of Kosice, Kosice, Slovakia
Abstract :
The paper presents design procedures that give the quadratic performances to fuzzy control of nonlinear systems representable by Takagi-Sugeno models. Including the system dynamics by the slack matrices, and extending the Lyapunov function by an integral part, enhanced control design conditions are outlined in terms of linear matrix inequalities. Simulation results illustrate the design procedure and describe the properties of the proposed control design method.
Keywords :
Lyapunov methods; control system synthesis; fuzzy control; linear matrix inequalities; nonlinear control systems; LMI conditions; Lyapunov function; Takagi-Sugeno models; linear matrix inequalities; nonlinear systems; quadratic fuzzy control design; slack matrices; system dynamics; Control design; Linear matrix inequalities; Nonlinear dynamical systems; Stability analysis; Symmetric matrices; Vectors;
Conference_Titel :
Control and Automation (ICCA), 2013 10th IEEE International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-4707-5
DOI :
10.1109/ICCA.2013.6564882
