2017
DOI: 10.1109/tsmc.2017.2654366
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Consensus Problem in High-Order Multiagent Systems With Lipschitz Nonlinearities and Jointly Connected Topologies

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Cited by 70 publications
(34 citation statements)
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“…In this sense, we introduce a self‐feedback gain matrix K 1 to meet the aforementioned purpose. In the works of Wang et al and Rezaee and Abdollahi, the consensus problems of nonlinear multiagent systems with jointly connected topologies were considered, but the performance costs were not investigated, which reduce the constraint of the guaranteed‐performance consensus criteria. Thus, the control protocols in our manuscript contain self‐feedback parts but the ones in the aforementioned works do not.…”
Section: Leaderless Guaranteed‐performance Consensus Design With Joinmentioning
confidence: 99%
See 4 more Smart Citations
“…In this sense, we introduce a self‐feedback gain matrix K 1 to meet the aforementioned purpose. In the works of Wang et al and Rezaee and Abdollahi, the consensus problems of nonlinear multiagent systems with jointly connected topologies were considered, but the performance costs were not investigated, which reduce the constraint of the guaranteed‐performance consensus criteria. Thus, the control protocols in our manuscript contain self‐feedback parts but the ones in the aforementioned works do not.…”
Section: Leaderless Guaranteed‐performance Consensus Design With Joinmentioning
confidence: 99%
“…In this sense, the guaranteed‐performance consensus criterion for the jointly connected multiagent system proposed in the current work can also satisfy the condition of guaranteed‐performance consensus for the connected case. In other works, the consensus problems with jointly connected topologies were considered, but the upper bound of the performance function cannot be achieved. In the current work, the guaranteed‐performance problem is solved by using the structure of the performance function and the property of the Laplacian matrix, and then, the guaranteed‐performance cost can further be obtained.…”
Section: Leaderless Guaranteed‐performance Consensus Design With Joinmentioning
confidence: 99%
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