DocumentCode :
3575756
Title :
Fuzzy-model-based control design of nonlinear discrete-time networked control systems via event-triggering communication scheme
Author :
Songlin Hu ; Min Shi
Author_Institution :
Coll. of Autom., Nanjing Univ. of Posts & Telecommun., Nanjing, China
fYear :
2014
Firstpage :
533
Lastpage :
538
Abstract :
This paper investigates the problem of stabilization of nonlinear discrete-time networked control systems (NCSs) with event-triggering communication scheme in the presence of signal transmission delay. The nonlinear NCSs can be approximated by Takagi-Sugeno (T-S) fuzzy model. The event-triggering communication scheme under consideration is that the current sensor data is transmitted only when the current sensor data and the previously transmitted one satisfy a certain quantitative relation. By taking the signal transmission delay into consideration, a fuzzy delay system model is established to describe the nonlinear discrete-time NCSs with event-triggering communication scheme. Attention is focused on the design of fuzzy state-feedback controller which ensures asymptotic stability of the closed-loop fuzzy systems. Linear matrix inequality (LMI)-based conditions are formulated for the existence of admissible fuzzy controller. If these conditions are feasible, a desired fuzzy controller can be readily constructed. A nonlinear mass-spring-damper mechanical system is presented to demonstrate the effectiveness of the proposed method.
Keywords :
asymptotic stability; control system synthesis; delay systems; discrete time systems; fuzzy control; linear matrix inequalities; networked control systems; nonlinear control systems; state feedback; LMI; T-S fuzzy model; Takagi-Sugeno fuzzy model; admissible fuzzy controller; asymptotic stability; closed-loop fuzzy systems; event-triggering communication scheme; fuzzy delay system model; fuzzy state-feedback controller design; fuzzy-model-based control design; linear matrix inequality; nonlinear NCSs; nonlinear discrete-time NCSs; nonlinear discrete-time networked control system stabilization; nonlinear mass-spring-damper mechanical system; quantitative relation; sensor data; signal transmission delay; Bandwidth; Closed loop systems; Data communication; Delays; Mechanical systems; Networked control systems; Nonlinear systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Control (ICMC), 2014 International Conference on
Print_ISBN :
978-1-4799-2537-7
Type :
conf
DOI :
10.1109/ICMC.2014.7231613
Filename :
7231613
Link To Document :
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