ANZCC 2017 Paper Abstract

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Paper MoBOr.4

Lin, Qiongbin (Fuzhou University), Chen, Shican (Fuzhou university), Chai, Qinqin (Fuzhou University), WANG, WU (Fuzhou University), Cai, Fenghuang (Fuzhou University)

Dissipative Fuzzy Control of Nonlinear Networked Control Systems with Multiple Packet Dropout

Scheduled for presentation during the Regular Session "Nonlinear Systems and Control" (MoBOr), Monday, December 18, 2017, 11:45−12:00, Room 7

2017 Australian and New Zealand Control Conference, December 17-20, 2017, Gold Coast Convention Centre, Australia

This information is tentative and subject to change. Compiled on April 25, 2024

Keywords Sensor Networks and Networked Control, Nonlinear Systems and Control, Linear Matrix Inequalities

Abstract

In this paper, a dynamic output feedback-based fuzzy controller is developed for a class of nonlinear network control system where disturbances and multiple random data dropouts exist. Firstly, the network control system is modeled using Takagi-Sugeno fuzzy rules. Meanwhile, the defective communication links with packets loss in both channels, from the sensor to the controller and from the controller to the actuator, are modeled by stochastic binary switching variables with known probability distributions. Then, by using linear matrix inequality method, the sufficient conditions for the existence of the fuzzy controller, the fuzzy robust controller are designed to guarantee the stability of the closed-loop system.

 

 

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