Predefined‐time adaptive fuzzy control for a class of stochastic nonlinear uncertain systems

Author:

Wu Jingyi1,Wang Fang1ORCID,Zhang Jing2

Affiliation:

1. College of Mathematics and Systems Science Shandong University of Science and Technology Qingdao China

2. Computer Science and Technology Guangdong University of Foreign Studies Guangzhou China

Abstract

SummaryThis article is mainly concentrated on the predefined‐time adaptive fuzzy control of stochastic nonlinear systems. To handle nonlinear functions that are uncertain, fuzzy logic systems (FLSs) are used to approximate them. Compared with the existing studies, a Lyapunov‐type criterion for practically predefined‐time stochastic stabilization (PPSS) is put forward to guarantee the stabilization of the system. The stabilization time is merely dependent on one design parameter, which means the parameter can be adjusted to set the stability time.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Publisher

Wiley

Reference41 articles.

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