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In this paper, the Takagi-Sugeno (TS) fuzzy modelling and the fuzzy regulation theory are considered in order to design a fuzzy controller capable of taking the output of a fuzzy plant to the reference signal generated by an external system. It is well-known that TS fuzzy modelling allows the stabilizer to be obtained by means of numerical techniques. As a result, stability region defined by the fuzzy...
In this paper, the Takagi-Sugeno (TS) fuzzy modelling and the nonlinear regulation theory are combined in order to construct a controller capable of taking the output of the fuzzy plant to the reference signal generated by an external system. The fuzzy modelling allows the controller to be designed by means of numerical techniques while the resulting stability region is larger than those obtained...
In this paper, we present some results obtained from the application of a class of sliding mode observers to the model-based fault diagnosis problem in non-linear dynamic systems. A Takagi-Sugeno fuzzy model is used to describe the system and then sliding mode observers are designed to estimate the system state vector, from this the diagnostic signal-residual is generated by the comparison of measured...
This paper is an extension of recent results related with the design of the robust regulator for discrete-time T-S fuzzy systems. This approach not only guarantees the trajectory tracking, but also increases the performance of the controller by the inclusion of some cost functions whose upper bounds are minimized.
In this paper, the problem of forcing a nonlinear system to track a desired reference signal is addressed by combining the theory of output regulation and the Takagi-Sugeno fuzzy modelling. The designing of the fuzzy regulator is based on LMI techniques.
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