1. Dynamic Deadband Event-Triggered Strategy for Distributed Adaptive Consensus Control With Applications to Circuit Systems.
- Author
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Xu, Yong, Sun, Jian, Pan, Ya-Jun, and Wu, Zheng-Guang
- Subjects
- *
MULTIAGENT systems , *SELF-tuning controllers , *DATA transmission systems , *DATA reduction , *ADAPTIVE control systems , *ALGORITHMS - Abstract
This paper focuses on the distributed consensus seeking of multi-agent systems (MASs) with discrete-time control updating and intermittent communications among agents. Compared with existing linearly coupled protocols, a nonlinear coupled Zeno-free event-triggered controller is first proposed, which is further to project the static and dynamic triggering mechanisms exploited by using the deadband control method. Then, the node-based nonlinear coupled adaptive event-triggered controller with online self-tuning of time-varying coupling weight and its corresponding to static and dynamic deadband-based event-triggered mechanisms are designed, respectively. The exploited adaptive event-triggered controller does not rely on any global information of interaction structure and is implemented in a fully distributed fashion. In addition, two dynamic proposals not only cover existing static strategies as special cases, but also show that the minimal inter-execution time of dynamic one is not smaller than that of static one. Theoretical analysis shows that the proposed static and dynamic deadband-based event-triggered mechanisms can not only ensure the average consensus with Zeno-freeness, but also achieve the data reduction of communication and control. Finally, the proposed algorithms applied to circuit implementation are corroborated to prove its practical merits and validity. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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