Reset Event-Triggered Adaptive Fuzzy Consensus for Nonlinear Fractional-Order Multiagent Systems With Actuator Faults
IEEE Transactions on Cybernetics
|April 20, 2022
Summary
This study presents an event-triggered control method for nonlinear fractional-order multiagent systems. It achieves consensus tracking despite actuator failures and unknown fault parameters, enhancing resource efficiency.
Area of Science:
- Control Theory
- Systems Engineering
- Applied Mathematics
Background:
- Multiagent systems are crucial in distributed control.
- Fractional-order systems offer enhanced modeling capabilities.
- Actuator failures and communication constraints pose significant challenges.
Purpose of the Study:
- To develop an event-triggered adaptive fault-tolerant fuzzy output feedback consensus tracking control strategy.
- To address nonlinear fractional-order multiagent systems with actuator failures.
- To improve resource utilization via a novel dynamic event-triggering strategy.
Main Methods:
- A dynamic event-triggering strategy with a reset mechanism is proposed.
- An improved event-based consensus error is utilized.
- A state estimator for the derivative of the reference trajectory and an adaptive law are constructed.
- Adaptive compensating terms are introduced to handle actuator failures and measurement errors.
Main Results:
- Distributed consensus tracking control is achieved without global information.
- Tracking errors converge to a compact set under unknown fault parameters and modes.
- The proposed method demonstrates effectiveness in fractional-order stability.
Conclusions:
- The developed control strategy effectively achieves consensus tracking in nonlinear fractional-order multiagent systems with actuator failures.
- The dynamic event-triggering mechanism enhances resource efficiency.
- The approach is robust to unknown fault parameters and modes, validated by simulations.
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