ROMJIST Volume 23, No. T, 2020, pp. T28-T40
Tim CHEN, Alex BABANIN, Asim MUḤAMMAD, Bert CHAPRON, Cyj CHEN Modified Evolved Bat Algorithm of Fuzzy Optimal Control for Complex Nonlinear Systems
ABSTRACT: This paper proposes a novel artificial intelligence based Evolved Bat Algorithm (EBA) controller with machine learning matched membership functions in a complex nonlinear system. The proposed affine transformed membership functions are adopted and stabilized and closed-loop performance criteria TS fuzzy systems are obtained through a new parametric linear matrix inequality technology rearranged by a capacity function member that fits with machine learning. The fuzzy systems are described based on the optimal fuzzy logic control (FLC) approaches. In addition, the concentration can be reconstructed using two different free weight tables using a decision separation technique without scaling parameters. Numerical examples confirm the superiority of this method. Furthermore, a stability criterion for the complex stability radius is proposed to guarantee the D-stability of discrete time-delay fuzzy systems in the presence of consequent parametric uncertainties.KEYWORDS: AI, EBA, optimization, nonlinear systemRead full text (pdf)