Design And Stability Analysis Of Networked Control Systems Based On T-s Fuzzy Control

Networked control systems are subject with strongly practical background and face multifarious problems in the scientific research. Especially, a great deal nonlinear networked control systems exist in the practical industry process. So we need study the nonlinear networked control systems imminently and thoroughly. The T-S fuzzy control is a good and effectual measure to solve many nonlinear problems.Now, the productions with the T-S fuzzy control to solve the nonlinear networked control systems are rarely and many problems can't be resolved. The productions all supposed many utopian conditions. Just like, the delay is invariable, the nodes all are time-driven, or the data dropout just exists between the sensor and the controller and there is no data dropout between the controller and the actuator. All the models don't accord with the network characteristic. So the using value is limited.In this article, thinking of the network sufficiently, under the instance of the data dropout existing between the sensor and the controller, and between the controller and the actuator, using the theory of the networked control systems, the nonlinear control systems, the fuzzy control systems, on-off systems and LMI, we study the model with the certain delay or the uncertain delay and establish the nonlinear networked control systems model and prove the exponential stability, design the state feedback controller, at the same time, using the LMI validate the correctness of the new model. Finally, we deepen the problem, point out the unsolved problem, propose the perspective on the furthermore study.