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This paper presents two filter design methods for discrete time fuzzy dynamic systems based on a piecewise quadratic Lyapunov function. It is shown that the resulting filtering error system is globally stable with guaranteed Hinfin or generalized H2 performance and the filter gains can be obtained by solving a set of linear matrix inequalities. Two simulation examples are also given to illustrate...
Based on a piecewise quadratic Lyapunov function, this paper investigates the piecewise robust Hinfin filtering design problem for fuzzy systems subject to time-varying uncertainties. It is shown that via suitable matrix linearization transformations and changes of variables, the design problem can be converted into a convex programming problem in term of linear matrix inequalities. Finally, a simulation...
Based on a piecewise quadratic Lyapunov function, this paper investigates the piecewise robust Hinfin filtering design problem for fuzzy systems subject to time-varying uncertainties. It is shown that via suitable matrix linearization transformations and changes of variables, the design problem can be converted into a convex programming problem in term of linear matrix inequalities. Finally, a simulation...
This paper investigates robust filtering design problem for discrete piecewise linear time-delay systems based on a piecewise Lyapunov functional. We propose a novel robust filtering design approach with Hinfin performances. It is shown that the filtering parameters can be obtained by solving a set of linear matrix inequalities (LMIs) via a way of suitable linearization transformation of matrix variables...
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