Modeling And Analysis Of Nonlinear Networked Control Systems Based On T-S Fuzzy Systems

With the continuous development of Internet technology, some considerable attentions have been directed to the integrated control systems and network communication systems. The feedback control systems where in control loops are closed through control network is called networked control systems (NCS). Networked control systems are control systems with strongly research value and refer multi-disciplinary in the scientific research. Meanwhile, a great deal nonlinear networked control systems exist in the practical industry process. So we need study the nonlinear networked control systems necessarily and thoroughly. The T-S fuzzy system is a good and effectual measure to solve nonlinear systems problems.Because of the delays and the uncertainty of the delays, package drop and disorder of data, the control systems are no longer invariable or deterministic. The problems mentioned above rise new challenges and opportunities. In this paper, aiming at the aforementioned issues, modeling, control and optimization of NCS are investigated in terms of the existing results in Lyapunov stability theory and matrix theory under fully considering the unideal facts in NCS.1. Firstly, the conception, the contents and the present situation of the NCS are introduced; secondly, the conception and basic knowledge of T-S Fuzzy Systems are introduced.2. We study the model with the uncertain delay and establish the nonlinear networked control systems model and discuss the problem of performance guaranteed control, design performance guaranteed control law, then we demonstration consecutive validity using the MATLAB. 3. Considering the certain or the uncertain network-induced delay and data packet dropout, we study the problems of modeling, exponential stability and controller design of the nonlinear networked control systems as an asynchronous dynamical systems, at the same time, using the MATLAB validate the correctness of the conclusion.4. We extend the problem, point out the unsolved problem, and propose the perspective on the further more study.