2012
DOI: 10.1002/rnc.2880
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Finite‐time formation control of multiple nonholonomic mobile robots

Abstract: SUMMARYThis paper considers finite‐time formation control problem for a group of nonholonomic mobile robots. The desired formation trajectory is represented by a virtual dynamic leader whose states are available to only a subset of the followers and the followers have only local interaction. First of all, a continuous distributed finite‐time observer is proposed for each follower to estimate the leader's states in a finite time. Then, a continuous distributed cooperative finite‐time tracking control law is des… Show more

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Cited by 180 publications
(100 citation statements)
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References 49 publications
(80 reference statements)
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“…whereū 1i , g 31 are defined as (12) and (13c),z 0i andz 1i are the estimates of x 3i and ω r d 1i , respectively, L 2i is an upper boundary of…”
Section: Design Of Finite-time Disturbance Observer For ω R D 1imentioning
confidence: 99%
See 2 more Smart Citations
“…whereū 1i , g 31 are defined as (12) and (13c),z 0i andz 1i are the estimates of x 3i and ω r d 1i , respectively, L 2i is an upper boundary of…”
Section: Design Of Finite-time Disturbance Observer For ω R D 1imentioning
confidence: 99%
“…Apart from this advantage, finite-time control system has other good point: faster convergence, better robustness [1,9,15,24,33,30]. For the tracking control problem of nonholonomic mobile robot systems, some finite-time control laws have been proposed [12,23,25,31]. The authors of [31] proposed finitetime tracking controller for the nonholonomic systems with extended chained form, where the relay switching technique and the terminal sliding mode control scheme with finite time convergence were used to design the controller.…”
Section: Introductionmentioning
confidence: 99%
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“…Imitating the collective behaviors that occur in nature, the distributed control of multiagent systems (MAS), such as multiple autonomous underwater vehicles (AUVs) and unmanned aerial vehicles (UAVs) [1][2][3], has attracted a great deal of attention in control and robotic communities [4,5] and has been extensively explored with different settings, including consensus [6], formation control [7,8], flocking [9], distributed sensor networks [10], rendezvous [11], and source seeking [12,13], through coordinating multiple autonomous mobile agents.…”
Section: Introductionmentioning
confidence: 99%
“…Non-smooth control such as sliding mode control (Utkin et al, 2009;Zhao et al, 2009) and finite time control Li et al, 2011;Ou et al, 2012;Zhao et al, 2010) have strong robustness. In light of Lyapunov redesign and non-smooth control principles, a new robot non-smooth robust control is proposed in this paper.…”
Section: Introductionmentioning
confidence: 99%