Two methods for terminal sliding‐mode synchronization of fractional‐order nonlinear chaotic systems-Reference-Cited by-同舟云学术

Two methods for terminal sliding‐mode synchronization of fractional‐order nonlinear chaotic systems

Published:2020-03-05 Issue:4 Volume:23 Page:1720-1727
ISSN:1561-8625
Container-title:Asian Journal of Control
language:en
Short-container-title:Asian J Control

Author:

Mao Beixing¹^ORCID

Affiliation:

1. College of Mathematics Zhengzhou University of Aeronautics Zhengzhou China

Publisher

Wiley

Subject

Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asjc.2328

Reference30 articles.

1. Synchronization in chaotic systems

2. Neuro‐fuzzy‐based adaptive dynamic surface control for fractional‐order nonlinear strict‐feedback systems with input constraint;Song S.;IEEE Trans Syst Man Cybern

3. Fault detection for fuzzy semi‐Markov jump systems based on interval type‐2 fuzzy approach;Zhang L. C.;IEEE Trans Fuzzy Syst

4. Neural‐based decentralized adaptive finite‐time control for nonlinear large‐scale systems with time‐varying output constraints;Du P. H.;IEEE Trans Syst Man Cybern

5. Containment control of semi‐Markovian multi‐agent systems with switching topologies;Liang H. J.;IEEE Trans Syst Man Cybern

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