2020
DOI: 10.1080/21642583.2020.1748138
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Decouple design of leader-following consensus control for nonlinear multi-agent systems

Abstract: This paper addresses the H ∞ -consensus control problem for a class of discrete-time nonlinear multiagent systems with missing measurements. First of all, the multi-agent systems under consideration are composed of N followers and a leader, where all agents are of nonlinear characteristics and all followers need to track the leader. Next, the measurements of all agents are not reliable, which could cause the occurrence of the missing measurements. In order to mitigate the computation burden stemming from the c… Show more

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Cited by 6 publications
(3 citation statements)
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“…The conclusion is that the multi-layer GMM algorithm can reduce the influence of outliers on the clustering results in a certain block and restore the original information of the formation. In future work, we aim to study the parameter selection issues of the multi-layer GMM method, such as how to select accuracy parameters to obtain more accurate clustering results and deal with the noise in the observed logging data (Li et al (2020); Han et al (2020); Li et al (2017); Gao et al (2020)).…”
Section: Discussionmentioning
confidence: 99%
“…The conclusion is that the multi-layer GMM algorithm can reduce the influence of outliers on the clustering results in a certain block and restore the original information of the formation. In future work, we aim to study the parameter selection issues of the multi-layer GMM method, such as how to select accuracy parameters to obtain more accurate clustering results and deal with the noise in the observed logging data (Li et al (2020); Han et al (2020); Li et al (2017); Gao et al (2020)).…”
Section: Discussionmentioning
confidence: 99%
“…In order to reject external disturbances in multi-agent systems, H ∞ optimization problem has been classically studied from the robust control theory in different MASs works [47]. H ∞ optimization problem has been studied for high-order multi-agent systems with Lipschitz nonlinearities and switching topologies [48], Lipschitz nonlinear multi-agent systems with uncertain dynamics [49], event-based strategy in second-order multi-agent systems [50], discrete-time nonlinear multi-agent systems with missing measurements [51], delays and parameter uncertainties [52]. Nevertheless, the aforementioned works have not considered degradation in the information exchange dependent on the distances between agents.…”
Section: Focus Of Coordination Of Multiple Robots Ismentioning
confidence: 99%
“…The technology is not only appraising the fracture but also saving resources (Grigoli et al, 2016). In consideration of the low permeability of these reservoirs (Han et al, 2020), improving the positioning accuracy has become one of the most urgent technology in oil exploitation. Only by improving the positioning accuracy can we promote the flow and acquisition of oil and gas reservoirs and finally achieve the purpose of increasing production (Fukui et al, 2017).…”
Section: Introductionmentioning
confidence: 99%