filtering for discrete-time linear systems with bounded time-varying parameters |
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Authors: | Renato A Borges Ricardo CLF Oliveira Chaouki T Abdallah Pedro LD Peres |
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Affiliation: | aElectrical and Computer Engineering Department, University of New Mexico, USA;bSchool of Electrical and Computer Engineering, University of Campinas – UNICAMP Campinas, SP, Brazil |
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Abstract: | In this paper, the problem of linear parameter varying (LPV) filter design for time-varying discrete-time polytopic systems with bounded rates of variation is investigated. The design conditions are obtained by means of a parameter-dependent Lyapunov function and extra variables for the filter design, expressed as bilinear matrix inequalities. An LPV filter, which minimizes an upper bound to the performance of the estimation error, is obtained as the solution of an optimization problem. A convex model to represent the parameters and their variations as a polytope is proposed in order to provide less conservative design conditions. Robust filters for time-varying polytopic systems can be obtained as a particular case of the proposed method. Numerical examples illustrate the results. |
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Keywords: | Linear parameter varying systems Bounded rates of variation ![](http://www&prev_q=<a name=) ![](http://www) sciencedirect filtering" target="_blank">com/cache/MiamiImageURL/B6V18-4WNB500-1-BY/0?wchp=dGLbVzW-zSkzV" alt="View the MathML source" title="View the MathML source" align="absbottom" border="0" height=11 width="25"/> filtering BMI |
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