Journal
IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume 30, Issue 6, Pages 2118-2123Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2021.3066297
Keywords
Delays; Switches; Control systems; Adaptive systems; Fuzzy logic; Backstepping; Large-scale systems; Adaptive fuzzy control; command filter; event-triggered control (ETC); large-scale systems (LSSs); switched nonlinear systems
Funding
- National Natural Science Foundation of China [61873128]
- National Research Foundation of Korea (NRF) - Korea government (Ministry of Science and ICT) [NRF-2020R1A2C1005449]
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This article proposes a decentralized fuzzy adaptive event-triggered command-filtered control scheme for switched large-scale nonlinear systems with input delay. By using fuzzy logic systems to approximate uncertain nonlinearities and command filter technology to overcome complexity defects, the performance of the control system is significantly improved.
This article presents a decentralized fuzzy adaptive event-triggered command-filtered control scheme for switched large-scale nonlinear systems with input delay. Fuzzy logic systems are employed to approximate uncertain nonlinearities and a novel observer is constructed to estimate unmeasured states. The explosion of complexity defect inherent in the backstepping approach is overcome by employing command filter technology. An auxiliary system is designed to compensate for the effect of input delay, and a novel event-triggered decentralized controller is derived based on the common Lyapunov function method. This article shows that the presented strategy guarantees that all closed-loop variables are semiglobally uniformly ultimately bounded. Finally, simulation results are shown to further confirm the presented strategy's validity.
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