Global FLS-based Consensus of Stochastic Uncertain Nonlinear Multi-agent Systems

Citation: J. X. Chen, J. M. Li. Global FLS-based consensus of stochastic uncertain nonlinear multi-agent systems. International Journal of Automation and Computing. http://doi.org/10.1007/s11633-021-1279-y doi:  10.1007/s11633-021-1279-y
 Citation: Citation: J. X. Chen, J. M. Li. Global FLS-based consensus of stochastic uncertain nonlinear multi-agent systems. International Journal of Automation and Computing . http://doi.org/10.1007/s11633-021-1279-y

## Global FLS-based Consensus of Stochastic Uncertain Nonlinear Multi-agent Systems

###### Author Bio: Jia-Xi Chen received the M. Sc. and Ph. D. degrees in applied mathematics from Xidian University, China in 2018 and 2020, respectively. He is currently a lecturer at Department of Applied Mathematics, Xidian University, China. His research interests include adaptive control, multi-agent systems and Takagi-Sugeno (T-S) fuzzy systems.E-mail: jxchen208@163.comORCID iD: 0000-0002-9667-811X Jun-Min Li received the M. Sc. degree in applied mathematics from Xidian University, China in 1990, and the Ph. D. degree in systems engineering from Xi′an Jiao Tong University, China in 1997. He is currently a professor at Department of Applied Mathematics, Xidian University, China. His research interests include adaptive control, learning control of MAS, hybrid system control theory and networked control system. E-mail: jmli@mail.xidian.edu.cn (Corresponding author)ORCID iD: 0000-0001-8409-6465
• Figure  1.  Network topology $\bar G$

Figure  2.  Consensus errors of MAS, $i \in I$

Figure  3.  Time evolution of controller and adaptive parameters, $i \in I$

Figure  5.  Consensus errors, $i \in I$

Figure  6.  $u_i$, $c_i$, $\hat{M}_i$ (i$\in$I), $\|\hat{W}_1\|$, $\hat{\pi}_2$, $\|\hat{W}_3\|$ and $\|\hat{W}_4\|$

Figure  7.  Consensus errors, $i \in I$

Figure  8.  $\delta_{x_i}$ and $\delta_{v_i}$, $i \in I$

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##### 出版历程
• 收稿日期:  2020-10-25
• 录用日期:  2021-01-22
• 网络出版日期:  2021-03-20

## Global FLS-based Consensus of Stochastic Uncertain Nonlinear Multi-agent Systems

### English Abstract

Citation: J. X. Chen, J. M. Li. Global FLS-based consensus of stochastic uncertain nonlinear multi-agent systems. International Journal of Automation and Computing. http://doi.org/10.1007/s11633-021-1279-y doi:  10.1007/s11633-021-1279-y
 Citation: Citation: J. X. Chen, J. M. Li. Global FLS-based consensus of stochastic uncertain nonlinear multi-agent systems. International Journal of Automation and Computing . http://doi.org/10.1007/s11633-021-1279-y

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