discrete-time event-triggered control of nonlinear wireless networked control systems
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ID: 179831
2014
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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. A Takagi-Sugeno (T-S)
fuzzy model and parallel-distributed compensation (PDC) scheme are first employed to design a nonlinear fuzzy
event-triggered controller for the stabilization of nonlinear discrete-time NCSs. The idea of the event-triggering
communication scheme (i.e., a soft computation algorithm) under consideration is that the current sensor data is transmitted
only when the current sensor data and the previously transmitted one satisfy a certain state-dependent trigger
condition. By taking the signal transmission delay into consideration and using delay system approach, a T-S 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 event-triggered 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 event-triggered controller. If these conditions are feasible, a desired fuzzy event-triggered controller
can be readily constructed. A nonlinear mass-spring-damper mechanical system is presented to demonstrate
the effectiveness of the proposed method.
| Reference Key |
hu2014abstractdiscrete-time
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|---|---|
| Authors | ;Songlin Hu;Dong Yue;Min Shi;Xiangpeng Xie |
| Journal | science and technology of advanced materials |
| Year | 2014 |
| DOI |
10.1155/2014/860438
|
| URL | |
| Keywords |
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