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The paper proposes a new fuzzy identification method based on H∞ error estimation for the issues of robust identification of fuzzy model. The H∞ state estimation is applied to the parameter identification of fuzzy model in the paper. The presented algorithm not only guarantees to satisfy a specified level of robustness, and also provides an optimized error upper bound. Finally, we study the fuzzy...
In the paper, the structure determination and parameter estimation for the non-linear systems are presented by means of the dynamic fuzzy model. The parameters estimation of fuzzy model is independent of each other by means of the orthogonal method. The most significant fuzzy rules are selected into the fuzzy model based on the “Innovation-Contribution” criterion and some other information criteria...
A novel T-S fuzzy control algorithm is presented for active queue management(AQM) in order to solve the problem of congestion control in TCP communication. This kind of control action has robust performance, which is suitable for time varying and complex network systems. For the particular TCP network mode, a T-S fuzzy model is done for the nonlinear TCP/IP network congestion control system. The performance...
There has been an increasing interest in a kind of underactuated mechanical systems, mobile wheeled inverted pendulum (MWIP) models, which are widely used in the field of autonomous robotics and intelligent vehicles. Robust velocity tracking problem of MWIP systems is investigated in this study. In the velocity control problem, model uncertainties accompany uncertain equilibriums, which make the controller...
In this paper, the problems of relaxed robust quadratic stability conditions for a class of nonlinear systems described by T-S fuzzy model are proposed. Firstly, new quadratic robust stability condition is obtained by designing state feedback controller for T-S fuzzy systems with uncertainties. The condition is represented in the form of linear matrix inequalities (LMIs). Secondly, it presents dynamic...
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