2021
DOI: 10.1109/tsmc.2019.2912268
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Robust Containment Control of Uncertain Multi-Agent Systems With Time-Delay and Heterogeneous Lipschitz Nonlinearity

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Cited by 38 publications
(9 citation statements)
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“…The majority of the containment control publications are with linear multi-agents systems. As far as this author knows, the publications with systems with nonlinearity are small in number (see [21]- [26]). Therefore, motivated by Ding [15], Li et al [21] and Wen et al [22] for containment control of the multi-agents system, a containment controller with state feedback is proposed for a multi-agents system with Lipschitz nonlinearity.…”
Section: Indonesian J Elec Eng and Comp Scimentioning
confidence: 99%
“…The majority of the containment control publications are with linear multi-agents systems. As far as this author knows, the publications with systems with nonlinearity are small in number (see [21]- [26]). Therefore, motivated by Ding [15], Li et al [21] and Wen et al [22] for containment control of the multi-agents system, a containment controller with state feedback is proposed for a multi-agents system with Lipschitz nonlinearity.…”
Section: Indonesian J Elec Eng and Comp Scimentioning
confidence: 99%
“…In [22][23][24], different cooperative control problems of heterogeneous MASs under both Markovian switching topologies and time delays has been investigated. Time delays are often inevitable in practice and have attracted great attention by the control community, see, for example, [25][26][27][28][29]. A common feature of most existing works is that only bounded delays are investigated.…”
Section: Introductionmentioning
confidence: 99%
“…[13][14][15] To solve that issue, scholars integrate some advanced control algorithms with it and developed containment control protocols based on dynamic leaders. 10,[16][17][18][19] In order to enhance the flexibility of containment control, switching topology containment control has been investigated. 10 Considering the input delay, the cooperative containment control for multi-agent systems with high-order linear dynamics under a directed graph was studied in depth, 17 which utilized an observer based on the relative outputs of neighboring agents.…”
Section: Introductionmentioning
confidence: 99%