Journal
IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume 27, Issue 6, Pages 1201-1214Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2018.2873971
Keywords
Adaptive fuzzy control; decentralized control; event-triggered mechanism; large-scale system
Funding
- National Natural Science Foundation of China [61673072, 61622302, U1611262]
- Guangdong Natural Science Funds for Distinguished Young Scholar [2017A030306014]
- Department of Education of Guangdong Province [2017KZDXM027]
- Science and Technology Planning Project of Guangdong Province [2017B010116006]
- Innovative Research Team Program of Guangdong Province Science Foundation [2018B030312006]
- Dalian Distinguished Young Scholars [2016RJ10]
- Fundamental Research Funds for the Central Universities [3132016314]
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For a class of large-scale nonlinear systems in nonstrict-feedback structure with immeasurable states, an adaptive decentralized fuzzy control strategy on the basis of event-triggered mechanism is investigated in this paper. Fuzzy logic systems are implemented to construct an observer, which approximates the unknown nonlinear function in the controller. In light of backstepping control technique and event-triggered mechanism, a decentralized adaptive fuzzy control approach is proposed to compensate for the effects of actuator faults. When the triggering condition is satisfied, the communication burden can be reduced. Moreover, the whole signals of the closed-loop system are semiglobally uniformly ultimately bounded and Zeno behavior can be successfully excluded. Furthermore, the outputs of subsystems can track the desired reference signals. Finally, some simulation results are utilized to testify the effectiveness of the proposed control scheme.
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