SYSTEM COMPUTING AND SIMULATION FOR BIG DATA DISSONANCES: A LMI-BASED CRITERION ON FUZZY LARGE-SCALE SYSTEMS

摘要

This paper proposes a novel artificial intelligence based EBA (Evolved Bat Algorithm) controller for large-scale nonlinearsystem which has high speed computation due to its LMI (Linear Matrix Inequality) type criterion. The proposed membershipfunctions are adopted and stabilization criterion of the closed-loop T-S fuzzy systems are obtained through a new parametrizedLMI which is rearranged by machine learning membership functions.