2015
DOI: 10.1002/rnc.3477
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Finite time distributed distance‐constrained shape stabilization and flocking control for d‐dimensional undirected rigid formations

Abstract: Most of the existing results on distributed distance-constrained rigid formation control establish asymptotic or exponential convergence. To further improve the convergence rate, we explain in this paper how to modify existing gradient controllers to obtain finite time stability. For point agents modeled by single integrators, the controllers proposed in this paper drive the whole formation to locally converge to a desired shape with finite settling time. We also show for undirected triangular formation shape … Show more

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Cited by 48 publications
(48 citation statements)
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“…When the formation shape is close to the desired one such that the distance error e is in the set B(ρ), the entries of the matrix R(p(t))R(p(t)) T are continuously differentiable functions of e. This lemma enables one to discuss the self-contained distance error system (16) and thus a Lyapunov argument can be applied to show the convergence of the distance errors. The proof of Lemma 3 can be found in [34] or [41] and will not be presented here. From Lemma 3, one can show thaṫ…”
Section: A Centralized Event Controller Designmentioning
confidence: 99%
“…When the formation shape is close to the desired one such that the distance error e is in the set B(ρ), the entries of the matrix R(p(t))R(p(t)) T are continuously differentiable functions of e. This lemma enables one to discuss the self-contained distance error system (16) and thus a Lyapunov argument can be applied to show the convergence of the distance errors. The proof of Lemma 3 can be found in [34] or [41] and will not be presented here. From Lemma 3, one can show thaṫ…”
Section: A Centralized Event Controller Designmentioning
confidence: 99%
“…Remark ( Finite‐time formation convergence ) Different to the finite‐time convergence to an approximate formation shape under uniform quantizers as shown in Theorem , in Theorem , it is shown the formation system converges locally to a correct formation shape under binary distance measurements, which is a more desirable convergence result. Moreover, compared with the finite time formation controller discussed in the paper of Sun et al in which a sig function is used, the finite time formation controller in requires less information in the distance measurements, in which very coarse measurements in terms of binary signals are sufficient.…”
Section: A Special Quantizer: Formation Control With Binary Distance mentioning
confidence: 99%
“…In recent years, the cooperative control of multiagent systems has received great attention from both scientific and engineering communities due to its theoretical significance and potential applications such as spacecraft formation flying, robotic manipulation, source localization, surveillance, and explorations . The objective of cooperative control, by means of the local information interaction, is to design the appropriate distributed protocols for multiagent systems to achieve the desired tasks . The seminal works on multiagent systems are those of multiple integrators dynamics, based on which, many excellent works on the dynamics of linear/nonlinear systems have been studied in the work of Li et al and references therein.…”
Section: Introductionmentioning
confidence: 99%
“…[1][2][3][4] The objective of cooperative control, by means of the local information interaction, is to design the appropriate distributed protocols for multiagent systems to achieve the desired tasks. 1,5 The seminal works on multiagent systems are those of multiple integrators dynamics, 1 based on which, many excellent works on the dynamics of linear/nonlinear systems have been studied in the work of Li et al 6 and references therein.…”
Section: Introductionmentioning
confidence: 99%