Journal
IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume 29, Issue 5, Pages 1273-1283Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2020.2973950
Keywords
Nonlinear systems; Hysteresis; Adaptive control; Stochastic processes; Observers; Control systems; Adaptive fuzzy control; event-triggered mechanism; stochastic nonlinear systems; unknown backlash-like hysteresis
Funding
- National Natural Science Foundation of China [61973091]
- Guangdong Natural Science Funds for Distinguished Young Scholar [2017A030306014]
- Innovative Research Team Program of Guangdong Province Science Foundation [2018B030312006]
- Science and Technology Program of Guangzhou [201904020006]
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This article addresses the event-triggered control problem for stochastic nonlinear systems with unmeasured states and unknown backlash-like hysteresis by using fuzzy logic systems and fuzzy state observer. The proposed method effectively reduces communication load and demonstrates bounded signals and small tracking errors around the origin.
This article investigates the event-triggered control problem for stochastic nonlinear systems with unmeasured states and unknown backlash-like hysteresis. Based on the fuzzy logic systems, the unknown nonlinear functions can be identified. Then, by utilizing a fuzzy state observer, the unmeasured states of the considered system can be estimated. Moreover, by introducing an event-triggered mechanism, the communication load can be largely reduced. By employing the backstepping control strategy and the adaptive control method, a novel adaptive fuzzy event-triggered control method is constructed. It is shown that whole signals in the closed-loop systems are, ultimately, semiglobally and uniformly bounded in probability. Moreover, the tracking errors and the observer errors are located in a small neighborhood around the origin. Finally, a numerical example is given to confirm the effectiveness of the design scheme.
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