Synchronization of Chaotic Systems with Dead Zones via Fuzzy Adaptive Variable-Structure Control | Zendy

Yongbing Huangfu | Zendy; Kaijuan Xue | Zendy

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Synchronization of Chaotic Systems with Dead Zones via Fuzzy Adaptive Variable-Structure Control

Author(s) -

Yongbing Huangfu,

Kaijuan Xue

Publication year - 2021

Publication title -

complexity

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.447

H-Index - 61

eISSN - 1099-0526

pISSN - 1076-2787

DOI - 10.1155/2021/3224416

Subject(s) - control theory (sociology) , synchronization (alternating current) , fuzzy logic , chaotic , bounded function , computer science , dead zone , lyapunov stability , variable (mathematics) , stability (learning theory) , fuzzy control system , adaptive neuro fuzzy inference system , adaptive control , mathematics , control (management) , artificial intelligence , computer network , mathematical analysis , channel (broadcasting) , oceanography , machine learning , geology

This work is devoted to solving synchronization problem of uncertain chaotic systems with dead zones. Based on the Lyapunov stability theorems, by using fuzzy inference to estimate system uncertainties and by designing effective fuzzy adaptive controllers, the synchronization between two chaotic systems with dead zones is realized and a fuzzy variable-structure control is implemented. The stability is proven strictly, and all the states and signals are bounded in the closed-loop system. A simulation example is presented to test the theoretical results finally.

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