2019
DOI: 10.1007/s11432-018-9759-9
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Formation control with obstacle avoidance of second-order multi-agent systems under directed communication topology

Abstract: This paper addresses the obstacle avoidance problem of formation control for the multi-agent systems modeled by double integrator dynamics under a directed interconnection topology. The control task is finished by a leader-follower formation scheme combined with an artificial potential field (APF) method. The leader-follower scheme is carried out by taking the desired trajectory with the desired velocity as virtual leader, while the APF method is carried out by dealing with the obstacles as the high potential … Show more

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Cited by 68 publications
(27 citation statements)
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“…it has: Proof. (i) Let V(x, y, ) be defined as (7). Since f (x) is a convex function, it follows that…”
Section: Define a Functionmentioning
confidence: 99%
See 1 more Smart Citation
“…it has: Proof. (i) Let V(x, y, ) be defined as (7). Since f (x) is a convex function, it follows that…”
Section: Define a Functionmentioning
confidence: 99%
“…Recently, distributed cooperative control for multiagent systems has been an active research field, including consensus control, [1][2][3] tracking control, 4,5 formation control, [6][7][8][9] and so on. In distributed cooperative control, distributed optimization has played an important role and attracted more and more attention in view of its advantages of improving efficiency and saving resources in sensor networks, 10 mobile robots, 11 and so forth.…”
Section: Introductionmentioning
confidence: 99%
“…One of the main requirements in successful cooperation and coordination is that the members must be capable of communicating during most of the mission [33]. Those studies usually simplify the connectivity condition as a physical distance constraint [34]: once two nodes stay inside a common geographic range [35], unlimited communication between them must be guaranteed. Consequently, the communication problem is integrated with another important problem, i.e., the path planning optimization problem.…”
Section: Cooperative Path Planningmentioning
confidence: 99%
“…wherex ∈ R n is the reference position,ȳ ∈ R n is the reference velocity, h(•) ∈ R n is a smooth bounded function [11], [24]. Definition 1 ( [18]): The second-order leader-follower formation is achieved if the solutions of multi-agent system (7) satisfy lim…”
Section: A Problem Formulationmentioning
confidence: 99%