Regular Papers
International Journal of Control, Automation and Systems 2020; 18(11): 2798-2807
Published online August 5, 2020
https://doi.org/10.1007/s12555-019-0836-4
© The International Journal of Control, Automation, and Systems
Event-triggered Finite-time Extended Dissipative Control for a Class of Switched Nonlinear Systems via the T-S Fuzzy Model
This paper foucuses on the study of finite-time extended dissipative control for a class of switched nonlinear systems. An event-triggered communication scheme is proposed to reduce the transmitted data of the system state. Sufficient conditions for finite-time extended dissipative control for the switched nonlinear systems are addressed, based on extended dissipative, we can solve the H∞, L2 − L∞, Passivity and (Q, S, R)-dissipativity performance at the same time. T-S fuzzy models are applied to represent the nonlinear subsystems. Linear matrix inequality techniques are used for the design of the fuzzy controller. Finally, numerical examples are presented.
Download: http://link.springer.com/article/10.1007/s12555-019-0836-4
Keywords Event-trigger, extended dissipative, finite-time, T-S fuzzy.
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Regular Papers
International Journal of Control, Automation and Systems 2020; 18(11): 2798-2807
Published online November 1, 2020 https://doi.org/10.1007/s12555-019-0836-4
Copyright © The International Journal of Control, Automation, and Systems.
Event-triggered Finite-time Extended Dissipative Control for a Class of Switched Nonlinear Systems via the T-S Fuzzy Model
Hui Gao, Hongbin Zhang*, and Jianwei Xia
University of Electronic Science and Technology of China
Abstract
This paper foucuses on the study of finite-time extended dissipative control for a class of switched nonlinear systems. An event-triggered communication scheme is proposed to reduce the transmitted data of the system state. Sufficient conditions for finite-time extended dissipative control for the switched nonlinear systems are addressed, based on extended dissipative, we can solve the H∞, L2 − L∞, Passivity and (Q, S, R)-dissipativity performance at the same time. T-S fuzzy models are applied to represent the nonlinear subsystems. Linear matrix inequality techniques are used for the design of the fuzzy controller. Finally, numerical examples are presented.
Download: http://link.springer.com/article/10.1007/s12555-019-0836-4
Keywords: Event-trigger, extended dissipative, finite-time, T-S fuzzy.
Vol. 22, No. 12, pp. 3545~3811
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