2013
DOI: 10.1002/rnc.2997
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Multi-surface sliding control for fast finite-time leader-follower consensus with high order SISO uncertain nonlinear agents

Abstract: SUMMARYIn this paper, multi surface sliding cooperative control scheme is presented and new multiple sliding surfaces are proposed. It is proven that, for the setup that each agent is described by a chain of integrators, where the last integrator is perturbed by a bounded disturbance, leader–follower consensus can be achieved on these sliding surfaces if the communication graph has a directed spanning tree. Also, sliding variables can be driven to the sliding surfaces in fast finite time by the nonsmooth contr… Show more

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Cited by 142 publications
(99 citation statements)
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“…, x0,n] T ∈ R n is the state vector and u0 ∈ R is the control input of the leader. The dynamics of the ith follower agent are described by [25] xi,…”
Section: B Problem Formulationmentioning
confidence: 99%
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“…, x0,n] T ∈ R n is the state vector and u0 ∈ R is the control input of the leader. The dynamics of the ith follower agent are described by [25] xi,…”
Section: B Problem Formulationmentioning
confidence: 99%
“…In the very recent work [23], the authors improves the results in [22] and gives an estimate for the bound of the settling time, which is independent of initial conditions. Although several results on finite-time consensus for high-order systems, e.g., [24] and [25], have been reported, few results are reported on the fixed-time coordination control for high-order multiagent systems. Even the results in [16], [25], [22], [26] require each follower to obtain the inputs of its neighbors simultaneous, which causes a communication loop problem.…”
Section: Introductionmentioning
confidence: 99%
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“…Compared with existing results on finite-time leader-following control of multiagent systems which focused on simple integrator systems or high-order integrator systems [32,33], the control strategy proposed in Corollary 1 applies to general linear multi-agent systems under directed communication graphs. Furthermore, only relative information is needed in the controller design which avoids the need of control inputs exchange among neighboring agents as in [33].…”
Section: Corollary 1 For a Leader-follower Networkmentioning
confidence: 94%
“…In this case, the control objective is to drive the states of the followers to track the state of the single leader. Control algorithms for this problem have been reported in [13], [14], [18]- [26].…”
Section: Introductionmentioning
confidence: 99%