Event-Triggered Adaptive Fuzzy Tracking Control for Uncertain Nonlinear Systems with Time-Delay and State Constraints

This paper develops an adaptive fuzzy control method for nonlinear time-delay systems in the presence of state constraints. To mitigate the communication burden and save resource, the event-triggered mechanism is exploited to update control signal. The time-delay term existing systems is handled by...

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Bibliographic Details
Published inCircuits, systems, and signal processing Vol. 41; no. 2; pp. 636 - 660
Main Authors Liu, Yongchao, Zhu, Qidan
Format Journal Article
LanguageEnglish
Published New York Springer US 01.02.2022
Springer Nature B.V
Subjects
Adaptive control
Approximation
Circuits and Systems
Communication
Control methods
Control theory
Controllers
Electrical Engineering
Electronics and Microelectronics
Engineering
Feedback control
Fuzzy control
Fuzzy logic
Fuzzy systems
Instrumentation
Liapunov functions
Nonlinear control
Nonlinear systems
Signal processing
Signal,Image and Speech Processing
Systems stability
Time delay systems
Tracking control
Time delay
Event-triggered control
Nonlinear systems
State constraints
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Summary:This paper develops an adaptive fuzzy control method for nonlinear time-delay systems in the presence of state constraints. To mitigate the communication burden and save resource, the event-triggered mechanism is exploited to update control signal. The time-delay term existing systems is handled by adopting Lyapunov–Krasovskii functional. The fuzzy logic systems are explored to identify the system uncertainties. In addition, by employing barrier Lyapunov function, the established control method can guarantee that the state constraints are not violated and the boundedness of the closed-loop systems is achieved without exhibiting Zeno behavior. Finally, the validity of the presented method is illustrated by a simulation example.
ISSN:0278-081X
1531-5878
DOI:10.1007/s00034-021-01802-w