Journal
IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume 30, Issue 4, Pages 1014-1024Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2021.3052094
Keywords
Switches; Adaptive systems; Delays; Nonlinear systems; Fuzzy control; Lyapunov methods; Time-varying systems; Adaptive fuzzy control; decentralized control; large-scale systems; sampled-data control; state feedback; switched nonlinear systems
Funding
- National Natural Science Foundation of China [61873128]
- Jiangsu Key Research and Development Plan [BE2018004-3]
- National Research Foundation of Korea (NRF) - Korea government (Ministry of Science and ICT) [NRF-2020R1A2C1005449]
- Brain Korea 21 Plus Project in 2021
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This article considers the problem of decentralized adaptive fuzzy sampled-data control for switched large-scale nonlinear systems with time-varying delays. Fuzzy logic systems are used to handle unknown nonlinear terms. A novel fuzzy adaptive law is proposed, utilizing only the system states at sampling instants. Additionally, a proper CLF and a new decentralized adaptive sampled-data control law are constructed to ensure boundedness of all states of the CLS. The effectiveness of the developed strategy is verified through two examples.
A decentralized adaptive fuzzy sampled-data control problem for switched large-scale nonlinear systems with time-varying delays is considered in this article. Fuzzy logic systems are applied to handle unknown nonlinear terms. A novel fuzzy adaptive law is proposed utilizing only the information of the system states at sampling instants. Moreover, a proper CLF and a new decentralized adaptive sampled-data control law are constructed to ensure that all states of the CLS are bounded. The developed strategy's effectiveness is verified with two examples.
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