Journal
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
Volume 69, Issue 12, Pages 5049-5053Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCSII.2022.3200053
Keywords
Multi-agent systems; periodic disturbances; event-triggered control; adaptive containment control
Categories
Funding
- Education Committee Liaoning Province of China [LJ2019002]
- National Natural Science Foundation of China [61722302]
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This brief introduces an event-based adaptive containment control scheme for nonlinear multi-agent systems, which can handle periodic disturbances and unknown coefficients. Through the introduction of an improved event-triggered mechanism and the use of a first-order sliding-mode differentiator, stability analysis verifies the effectiveness of the proposed scheme.
This brief presents an event-based adaptive containment control scheme for nonlinear multi-agent systems with periodic disturbances and unknown coefficients. To decrease some unnecessary data transmissions, an improved event-triggered mechanism is introduced, i.e., a dynamically adjusted threshold is designed in the event-triggered condition. Then, a first-order sliding-mode differentiator is employed to address the explosion of complexity problem, and neural networks and fourier series expansion are combined to model the uncertain nonlinear dynamics subject to periodically time-varying disturbances. Stability analysis verifies that the containment errors are bounded, and a practical simulation is implemented to evaluate the validity of the developed scheme.
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