Title :
Robust Dissipative Control for Nonlinear Systems with Uncertainties
Author :
Tao, Zeng ; Shengkai, Zhao
Author_Institution :
Beijing Jiaotong Univ., Beijing
Abstract :
The problem of designing a fuzzy stable and dissipative controller is studied for a class of nonlinear systems with norm-bounded uncertainty based on T-S model. The sufficient conditions are first derived for the existence of fuzzy controllers. Furthermore, a convex optimization problem with LMI constraints is formulated to design the controller. Simulation shows the feasibility and validity of this method.
Keywords :
control system synthesis; convex programming; fuzzy control; linear matrix inequalities; nonlinear control systems; robust control; T-S fuzzy controller; convex optimization problem; linear matrix inequalities; nonlinear system; robust dissipative control; uncertain system; Constraint optimization; Control systems; Design optimization; Fuzzy control; Fuzzy systems; Nonlinear control systems; Nonlinear systems; Robust control; Sufficient conditions; Uncertainty; LMI (linear matrix inequality; T-S model; dissipative control; uncertainties;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4347466
