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Based on sliding-mode-control theory, we develop a fuzzy controller design method for a class of uncertain time-delay systems that can be represented by Takagi-Sugeno (T-S) fuzzy models. In terms of linear-matrix inequalities (LMIs), we derive a sufficient condition for the existence of stabilizing sliding-mode controllers. We show that the sliding-surface parameter matrix can be characterized in...
Due to the fact that tension system can be affected by many factors and its structures are complex, as well as its deep coupling, nonlinearity, time-variability, and indeterminacy of its parameters, there are still many problems on its basic theoretic, measuring and controlling technology to be solved. On the basis of inferred the system mathematic model and time-variant parameters radius, adopt line...
The problem of fuzzy modeling for state and input time-varying delay systems with a class of nonlinear uncertainties by fuzzy T-S model is addressed. Utilizing LMI (linear matrix inequality), the problem of fuzzy robust Hinfin controller design for the systems is studied. Assuming that the nonlinear uncertain functions in the model considered are gain-bounded, we obtain a sufficient condition for...
The running characteristics of tasks are uncertain in an unpredictable environment. So the workload of a soft real-time system is time varying, too. An adaptive performance control model which combines the PID and fuzzy feedback technologies is presented. When the system performance deviation is lower than the threshold value, the adaptive feedback control technology based PID is adopted , or the...
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