This paper studies the problem of controller design for polynomial fuzzy-model-based (PFMB) systems. To make full use of the information of membership functions (MFs), the operating space is partitioned into several subspaces. According to the information of partitions, switched state feedback and output feedback controllers are designed, respectively, for the system. By employing the approximated membership function method and a new relaxation technique, relaxed stabilization criteria in the form of the sum of squares are derived without the need to impose any constraints on system matrices. Simulation examples are provided to illustrate the validity of the presented method.
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