K-SAMPLES VARIATION ANALYSIS FOR DISCRETE-TIME TAKAGI-SUGENO MODELS STABILIZATION: COMPLEXITY REDUCTION

This paper deals with the k-samples variation analysis of candidate Lyapunov functions, which reduces conservatism of the classical analysis for the stabilization problem. The main drawback of this method is the number of conditions in the LMI (Linear Matrix Inequalities) problem. This paper gives a solution to reduce this number and proposes more tractable results.