Finite-Time Adaptive Fuzzy Consensus Stabilization for Unknown Nonlinear Leaderless Multi-Agent Systems With Unknown Output Dead-Zone
| Autor: | Ye Qiushi, Yang Hainan, Cao Xiannan, Xinyu Zhang, Lian Yingzhan |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Lyapunov function
Adaptive control General Computer Science Computer science Multi-agent systems adaptive backstepping unknown output dead-zone General Engineering synchronization tracking Fuzzy logic Synchronization Nonlinear system symbols.namesake Control theory Backstepping finite-time stability symbols General Materials Science Node (circuits) lcsh:Electrical engineering. Electronics. Nuclear engineering lcsh:TK1-9971 |
| Zdroj: | IEEE Access, Vol 7, Pp 103595-103607 (2019) |
| ISSN: | 2169-3536 |
| DOI: | 10.1109/access.2019.2921720 |
| Popis: | In this paper, the finite-time adaptive consensus stabilization is investigated for unknown nonlinear leaderless multi-agent systems with unknown output dead-zone. Different from the previous results on the multi-agent systems with unknown dead-zone, the dead-zone nonlinear is researched in the output channel. By using the recursive backstepping design method and the universal approximation ability of fuzzy logic systems, a local controller for each follower is constructed. Meanwhile, a Lyapunov-based logic switching rule is applied to handle the unknown control gain problems aroused by the output dead-zone nonlinearities. It is, thus, shown that the established adaptive control protocol can assure the finite-time state synchronization of each node. Besides, the state synchronization error between any adjacent followers also converges to a small region of zero when time tends to $T_{0}$ . Finally, the two simulations are conducted to further verify our theoretical results. |
| Databáze: | OpenAIRE |
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