Open AccessAn AIS-based optimal control framework for longevity and task achievement of multi-robot systems
Author(s) -
Raymond Chan,
HonShiang 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