An AIS-based optimal control framework for longevity and task achievement of multi-robot systems | Zendy

Raymond Ching Man Chan | Zendy; Henry Y.K. Lau | Zendy

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An AIS-based optimal control framework for longevity and task achievement of multi-robot systems

Author(s) -

Raymond Ching Man Chan,

Henry Y.K. Lau

Publication year - 2012

Publication title -

numerical algebra control and optimization

Language(s) - English

Resource type - Journals

eISSN - 2155-3289

pISSN - 2155-3297

DOI - 10.3934/naco.2012.2.45

Subject(s) - longevity , task (project management) , computer science , robot , architecture , artificial immune system , control (management) , distributed computing , artificial intelligence , systems engineering , engineering , art , genetics , visual arts , biology

Extending the longevity of autonomous agent system in real life application is a difficult task, especially in applications which require continuous high system performance. This paper presents a novel decentralized balancing controlling architecture for longevity and achievement in multi-agent robot systems based on several artificial immune systems (AIS) designs and principles. Simulation experiments have verified the proposed architecture has good capability to efficiently minimize the trade-off in system achievement while maintaining system sustainability, even in very demanding situations.published_or_final_versio

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