2018
DOI: 10.1007/s11432-017-9407-6
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Sliding mode control for consensus tracking of second-order nonlinear multi-agent systems driven by Brownian motion

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Cited by 14 publications
(17 citation statements)
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“…Thus, in this paper taking x 2 as an accurate measurable parameter and considering its dynamics, an ammonia coverage ratio sliding mode observer under Lyapunov theory is proposed, as shown in (13) and (14). It is well known that the sliding mode observation technique has very good robustness with respect to bounded uncertainties [22,23].…”
Section: Design Of the Sliding Mode Observermentioning
confidence: 99%
“…Thus, in this paper taking x 2 as an accurate measurable parameter and considering its dynamics, an ammonia coverage ratio sliding mode observer under Lyapunov theory is proposed, as shown in (13) and (14). It is well known that the sliding mode observation technique has very good robustness with respect to bounded uncertainties [22,23].…”
Section: Design Of the Sliding Mode Observermentioning
confidence: 99%
“…Due to the features of SMC mentioned above, it also could be applied to solve consensus problems in MASs and some achievements are obtained in [2,[21][22][23]. Tracking consensus protocol via SMC was proposed for second-order non-linear MASs with disturbances in [2,22].…”
Section: Introductionmentioning
confidence: 99%
“…Tracking consensus protocol via SMC was proposed for second-order non-linear MASs with disturbances in [2,22]. SMC for stochastic second-order tracking consensus was investigated in [23]. In [21], consensus tracking for general linear stochastic MASs was studied, while the mismatched uncertainty and structure's random switching were not considered.…”
Section: Introductionmentioning
confidence: 99%
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“…For distributed consensus-seeking, some appropriate distributed control strategies are adopted such that a group of autonomous agents asymptotically reach an agreement on a common value. The consensus-seeking problems have been intensively discussed from different perspectives including leaderless consensus (i.e., consensus without any leader) [5][6][7][8][9][10], leader-following consensus (i.e., consensus with a leader) [11][12][13][14][15], and containment control (i.e., consensus with multiple leaders) [16][17][18][19][20]. Note that the abovementioned references only address the consensus problems of multi-agent systems under continuous communication.…”
Section: Introductionmentioning
confidence: 99%