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In this paper, we present a fuzzy observer based fuzzy control scheme for nonlinear processes. The observer and the controller are built by "fuzzily interconnecting" local linear Lu-enberger observers and linear controllers. The approach uses techniques of robust control along with piecewise quadratic lyapunov functions, to show the global stability of observer + controller + process. In...
In recent years, controller formulations using robust integral of sign of error (RISE) type feedback have been successfully applied to a variety of nonlinear dynamical systems. The drawback of these type of controllers however, are (i) the need of prior knowledge of the upper bounds of the system uncertainties and (ii) the absence of a proper gain tuning methodology. To tackle the aforementioned weaknesses,...
In this paper we present a systematic procedure to design robust fuzzy controller for exponentially stabilizing affine nonlinear systems, based on their TS fuzzy model. For robust design we consider modeling error in TS model and as well as perturbation in the original nonlinear system. Minimization of cost function along with mapping closed loop poles to desired poles are considered simultaneously...
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