Distributed system design and control via multiple objectives optimization

Q3 Arts and Humanities Giornale di Storia Costituzionale Pub Date : 2004-12-13 DOI:10.1109/ICECS.2004.1399712
A. Guez, Robert E. Cochran, I. Rusnak
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Abstract

An optimization approach to distributed intelligent system design and control is presented. It is expected to enhance the autonomous decision-making capabilities of systems functioning as members of a team. It is applicable to autonomous distributed agents within homogeneous or heterogeneous clusters, when they must collaborate as a team to achieve a common goal. This approach inherently supports situation awareness, collision avoidance, and operations in a complex environment that may experience both degraded communications and sensor failures.
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基于多目标优化的分布式系统设计与控制
提出了一种分布式智能系统设计与控制的优化方法。预计它将提高作为一个团队成员运作的系统的自主决策能力。它适用于同质或异构集群中的自治分布式代理,当它们必须作为一个团队协作以实现共同目标时。这种方法固有地支持态势感知、避免碰撞以及在可能经历通信退化和传感器故障的复杂环境中的操作。
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Giornale di Storia Costituzionale
Giornale di Storia Costituzionale Arts and Humanities-History
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