H∞ Formation Control and Obstacle Avoidance for Hybrid Multi-Agent Systems

A new concept of H∞ formation is proposed to handle a group of agents navigating in a free and an obstacle-laden environment while maintaining a desired formation and changing formations when required. With respect to the requirements of changing formation subject to internal or external events, a h...

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Main Authors: Dong Xue, Jing Yao, Jun Wang
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2013/123072
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author Dong Xue
Jing Yao
Jun Wang
author_facet Dong Xue
Jing Yao
Jun Wang
author_sort Dong Xue
collection DOAJ
description A new concept of H∞ formation is proposed to handle a group of agents navigating in a free and an obstacle-laden environment while maintaining a desired formation and changing formations when required. With respect to the requirements of changing formation subject to internal or external events, a hybrid multiagent system (HMAS) is formulated in this paper. Based on the fact that obstacles impose the negative effect on the formation of HMAS, the H∞ formation is introduced to reflect the above disturbed situation and quantify the attenuation level of obstacle avoidance via the H∞-norm of formation stability. An improved Newtonian potential function and a set of repulsive functions are employed to guarantee the HMAS formation-keeping and collision-avoiding from obstacles in a path planning problem, respectively. Simulation results in this paper show that the proposed formation algorithms can effectively allow the multiagent system to avoid penetration into obstacles while accomplishing prespecified global objective successfully.
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institution Kabale University
issn 1110-757X
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publishDate 2013-01-01
publisher Wiley
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series Journal of Applied Mathematics
spelling doaj-art-4b7bc066a561457caa13d2a8ce1928cd2025-02-03T01:10:50ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/123072123072H∞ Formation Control and Obstacle Avoidance for Hybrid Multi-Agent SystemsDong Xue0Jing Yao1Jun Wang2Department of Control Science and Engineering, Tongji University, Shanghai 201804, ChinaDepartment of Control Science and Engineering, Tongji University, Shanghai 201804, ChinaDepartment of Control Science and Engineering, Tongji University, Shanghai 201804, ChinaA new concept of H∞ formation is proposed to handle a group of agents navigating in a free and an obstacle-laden environment while maintaining a desired formation and changing formations when required. With respect to the requirements of changing formation subject to internal or external events, a hybrid multiagent system (HMAS) is formulated in this paper. Based on the fact that obstacles impose the negative effect on the formation of HMAS, the H∞ formation is introduced to reflect the above disturbed situation and quantify the attenuation level of obstacle avoidance via the H∞-norm of formation stability. An improved Newtonian potential function and a set of repulsive functions are employed to guarantee the HMAS formation-keeping and collision-avoiding from obstacles in a path planning problem, respectively. Simulation results in this paper show that the proposed formation algorithms can effectively allow the multiagent system to avoid penetration into obstacles while accomplishing prespecified global objective successfully.http://dx.doi.org/10.1155/2013/123072
spellingShingle Dong Xue
Jing Yao
Jun Wang
H∞ Formation Control and Obstacle Avoidance for Hybrid Multi-Agent Systems
Journal of Applied Mathematics
title H∞ Formation Control and Obstacle Avoidance for Hybrid Multi-Agent Systems
title_full H∞ Formation Control and Obstacle Avoidance for Hybrid Multi-Agent Systems
title_fullStr H∞ Formation Control and Obstacle Avoidance for Hybrid Multi-Agent Systems
title_full_unstemmed H∞ Formation Control and Obstacle Avoidance for Hybrid Multi-Agent Systems
title_short H∞ Formation Control and Obstacle Avoidance for Hybrid Multi-Agent Systems
title_sort h∞ formation control and obstacle avoidance for hybrid multi agent systems
url http://dx.doi.org/10.1155/2013/123072
work_keys_str_mv AT dongxue hformationcontrolandobstacleavoidanceforhybridmultiagentsystems
AT jingyao hformationcontrolandobstacleavoidanceforhybridmultiagentsystems
AT junwang hformationcontrolandobstacleavoidanceforhybridmultiagentsystems