Descriptor Representation-Based Guaranteed Cost Control Design Methodology for Polynomial Fuzzy Systems

This paper presents a descriptor representation-based guaranteed cost design methodology for polynomial fuzzy systems. applies the representation presenting closed-loop system of model with parallel distributed compensation (PDC) based controller. By utility representation, control (GCC) analysis can utilize slack matrices obtaining less conservative results. The proposed GCC is presented as sum-of-squares (SOS) conditions. application leads to double summation issue in design. Accordingly, copositive relaxation works out problem well and adopted analysis. minimizes upper limit predesignated function. According performance function, two simulation examples are provided demonstrate validity In these examples, obtains superior