Name
Title | ||
|---|---|---|
Event-triggered fuzzy adaptive quantized control for nonlinear multi-agent systems in nonaffine pure-feedback form |
Abstract | ||
|---|---|---|
In this paper, we address the problem of event-triggered fuzzy adaptive quantized control for stochastic nonlinear non-affine pure-feedback multi-agent systems. The fuzzy logic system is used to estimate the stochastic disturbance term and unknown nonlinear functions. A nonlinearity decomposition method of asymmetric hysteresis quantizer is proposed by applying sector bound property. Moreover, to reduce the communication burden, an adaptive event-triggered protocol with a varying threshold is constructed. Based on the backstepping technique and stochastic Lyapunov function method, a novel adaptive event-triggered fuzzy control protocol and adaptive laws are constructed. By using stochastic Lyapunov stability theory, it is demonstrated that all signals are bounded in the closed-loop systems in probability and all the outputs of followers converge to the neighborhood of the leader output. Simulation results illustrate the effectiveness of our proposed scheme. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.fss.2020.06.014 | Fuzzy Sets and Systems |
Keywords | DocType | Volume |
Asymmetric hysteretic quantizer,Event-triggered adaptive control,Non-affine pure-feedback,Multi-agent systems | Journal | 416 |
ISSN | Citations | PageRank |
0165-0114 | 1 | 0.35 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guangliang Liu | 1 | 39 | 2.12 |
| Yingnan Pan | 2 | 523 | 21.18 |
| H. K. Lam | 3 | 3618 | 193.15 |
| Hongjing Liang | 4 | 664 | 27.76 |