Observer-Based Adaptive Fuzzy Tracking Control for Stochastic Nonlinear Multi-Agent Systems with Dead-Zone Input

作者：

Highlights：

• The problem of the adaptive fuzzy tracking control for high-order stochastic MASs with unknown dead-zone input has been solved.

• This paper extends the reduced-order observer to the high-order stochastic nonlinear MASs, which not only solves the problem of unmeasurable states but also reduces the computational burden

• In the controller design process, a new design scheme is constructed to avoid the limitation that the observer can not contain unknown coefficients.

摘要

•The problem of the adaptive fuzzy tracking control for high-order stochastic MASs with unknown dead-zone input has been solved.•This paper extends the reduced-order observer to the high-order stochastic nonlinear MASs, which not only solves the problem of unmeasurable states but also reduces the computational burden•In the controller design process, a new design scheme is constructed to avoid the limitation that the observer can not contain unknown coefficients.

论文关键词：Adaptive fuzzy control,Cooperative control,Stochastic multi-agent systems,Reduced-order observer,Unknown dead-zone

论文评审过程：Received 17 July 2019, Revised 15 March 2020, Accepted 29 March 2020, Available online 13 April 2020, Version of Record 13 April 2020.

论文官网地址：https://doi.org/10.1016/j.amc.2020.125269