Open AccessFuzzy Modeling Control and Simulation of a Class of Complex Dynamical Systems
Author(s) -
Disheng Wang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1624/2/022009
Subject(s) - control theory (sociology) , fuzzy logic , fuzzy control system , controller (irrigation) , computer science , stability (learning theory) , nonlinear system , lyapunov stability , chaotic , class (philosophy) , simple (philosophy) , neuro fuzzy , scheme (mathematics) , control engineering , control (management) , mathematics , artificial intelligence , engineering , machine learning , physics , mathematical analysis , philosophy , epistemology , quantum mechanics , agronomy , biology
In this paper, an equivalent fuzzy financial dynamic system model is established by using T-S fuzzy modeling method. According to Lyapunov stability theory, a fuzzy feedback controller is designed to realize chaos control. The results of theoretical proof and numerical simulation show that the fuzzy control scheme is effective. The fuzzy controller can simulate human’s experience knowledge and is simple and easy to implement. It can also be used to control general nonlinear chaotic systems.