{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T15:47:40Z","timestamp":1760888860591},"reference-count":30,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Info. Tech. Dec. Mak."],"published-print":{"date-parts":[[2017,5]]},"abstract":"<jats:p> This paper investigates the formation control and obstacle avoidance problem for multi-agent systems (MASs), which aims to coordinate the pursuer agents to capture a mobile target. The target appears at a location randomly and its movement obeys Reactive Rabbit Model. The pursuers and the mobile target can be modeled as a Pursuit-Evasion Game (PEG). During the movement, not all of the pursuer agents can obtain the real-time information of the target. Moreover, the obstacle avoidance makes the formation of pursuer agents a big challenge to encircle the mobile target. In order to tackle these two problems, the formation control and obstacle avoidance algorithm is presented in this paper based on a novel virtual leader-follower strategy and potential functions. The obstacle avoidance problem can then be solved by constructing a velocity potential. The numerical analysis and simulation demonstrate the effectiveness of the proposed algorithm. <\/jats:p>","DOI":"10.1142\/s0219622014500151","type":"journal-article","created":{"date-parts":[[2013,11,25]],"date-time":"2013-11-25T06:57:35Z","timestamp":1385362655000},"page":"865-880","source":"Crossref","is-referenced-by-count":13,"title":["Formation Control and Obstacle Avoidance for Multi-Agent Systems Based on Virtual Leader-Follower Strategy"],"prefix":"10.1142","volume":"16","author":[{"given":"Jing","family":"Yan","sequence":"first","affiliation":[{"name":"Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, P. R. China"}]},{"given":"Xinping","family":"Guan","sequence":"additional","affiliation":[{"name":"Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, P. R. China"}]},{"given":"Xiaoyuan","family":"Luo","sequence":"additional","affiliation":[{"name":"Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, P. 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