2010 3rd International Symposium on Resilient Control Systems 2010
DOI: 10.1109/isrcs.2010.5603159
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A robust H<sup>&#x221E;</sup> control design for swarm formation control of multi-agent systems: A decentralized adaptive fuzzy approach

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Cited by 7 publications
(1 citation statement)
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“…However, centralized control depends on perfect communication which can be an issue if data dropouts occur due to overloaded networks or when communication range constraints are challenged [1,2]. With decentralized control, a local controller is designed for each robot, and the control signals are provided by only using local information about agents and their neighbors [4,5]. This approach significantly reduces the amount of transmission data, time delay and is more robust against communication failures.…”
Section: Introductionmentioning
confidence: 99%
“…However, centralized control depends on perfect communication which can be an issue if data dropouts occur due to overloaded networks or when communication range constraints are challenged [1,2]. With decentralized control, a local controller is designed for each robot, and the control signals are provided by only using local information about agents and their neighbors [4,5]. This approach significantly reduces the amount of transmission data, time delay and is more robust against communication failures.…”
Section: Introductionmentioning
confidence: 99%