Name
Abstract | ||
|---|---|---|
This article studies the finite-time consensus of the stochastic nonlinear multi-agent systems under a directed communication topology. Since the inherent nonlinear dynamics and stochastic disturbances in multi-agent systems are completely unknown, the existing finite-time stability criterion becomes unavailable. To handle this difficulty, by applying the mean value theorem of integrals, a key finite-time stability criterion in integral form is first established. Then, based on the approximation property of the fuzzy logic systems, a distributed adaptive fuzzy control scheme is presented. Under the presented control strategy, the finite-time consensus of the stochastic nonlinear multi-agent systems is achieved. By applying Jessen’s inequality and Theorem 1, the finite-time stability of the closed system is proved. Finally, the simulation result shows the validity of the distributed controller. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/s40815-019-00769-w | International Journal of Fuzzy Systems |
Keywords | Field | DocType |
Adaptive fuzzy control, Stochastic multi-agent systems, Finite-time consensus, Square stability | Stability criterion,Control theory,Mathematical optimization,Nonlinear system,Computational intelligence,Control theory,Multi-agent system,Fuzzy control system,Mean value theorem,Approximation property,Mathematics | Journal |
Volume | Issue | ISSN |
22 | 1 | 1562-2479 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fang Wang | 1 | 55 | 4.44 |
| Yan Zhang | 2 | 1 | 0.35 |
| Lili Zhang | 3 | 1 | 0.35 |
| Jing Zhang | 4 | 373 | 101.39 |
| Yuanyuan Huang | 5 | 7 | 3.19 |