首页|Reports Outline Computational Intelligence Study Results from Xidian University (Global Bipartite Exact Consensus of Unknown Nonlinear Multi-agent Systems With Switching Topologies: Iterative Learning Approach)
Reports Outline Computational Intelligence Study Results from Xidian University (Global Bipartite Exact Consensus of Unknown Nonlinear Multi-agent Systems With Switching Topologies: Iterative Learning Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning - Comp utational Intelligence is now available. According to news reporting originating in Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “ In this paper, a novel global adaptive iterative learning bipartite consensus co ntrol algorithm is proposed for a class of uncertain nonlinear second-order mult i-agent systems with time-varying disturbances, in which the communication topol ogy among all agents switches relying both on time and iteration. By signal repl acement technique, we apply the neural networks to describe the unknown nonlinea r dynamics of each agent, overcoming the defect of semi-global results in existi ng works and obtaining the global results.”
Xi’anPeople’s Republic of ChinaAsiaComputational IntelligenceMachine LearningXidian University
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