H∞ Tracking Control of Fuzzy Dynamic Output for Nonlinear Networked System with Packet Dropouts

Abstract

The tracking control of ∞ dynamic output feedback is proposed for the fuzzy networked systems of the same category, in which each system is discrete-time nonlinear and is missing measurable data. In other words, the loss of data packet occurs randomly in both the uplink and the downlink. The independent variables that are called the Bernoulli random variables are considered to design the loss of data packets. The method of parallel distributed compensation (PDC) in terms of the T-S fuzzy model is applied to investigate the dynamic controller of tracking control on the systems. Then, it is presented that the analytical ∞ performance of the output error between the reference model and the fuzzy model for the closed-loop system containing dynamic output feedback controller is proven. Furthermore, the achieved sufficient conditions in terms of LMIs ensure that the closed-loop system is stochastically stable in the ∞ sense. Finally, a numerical system is offered to show the effectiveness of the established technique.

Iterative Learning Control Design of Switched Systems With Markovian Jump Parameters via Fuzzy Approach

“…The operating constraints are 200 ≤ T C ≤ 450 (K), 0.01 ≤ C A ≤ 1 (mol/L), and 250 ≤ T ≤ 500 (K). Utilizing the nonlinear method proposed in [46]- [48], we suppose that two modes are in the discrete-time Fuzzy MJSs (1), and the matrixes of parameters for the system (1) are listed as follows:…”