Optimal control of complex distributed systems: A new generalized particle model

被引：0
|
作者：
Shuai, Dianxun [1 ]
Zhang, Ping [2 ]
Liu, Yuzhe [3 ]
机构：
[1] E China Univ Sci & Technol, Dept Comp Sci & Engn, Shanghai 200237, Peoples R China
[2] XidianUniv, Inst Intelligent Informat Proc, Xian, Peoples R China
[3] East China Univ Sci & Tech, Dept Comp Sci & Engn, Shanghai, Peoples R China
来源：
2006 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS, VOLS 1-7 | 2006年
基金：
中国国家自然科学基金;
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The optimal control of complex distributed systems is of great significance and of extreme difficulty(1). This paper presents a novel generalized particle model (GPM) to optimally control the resource allocation and task assignment in complex distributed systems. The GPM approach transforms the optimal control process of complex distributed systems into the kinematics and dynamics of massive particles in a force-field. The conception, dynamics, algorithm and properties of GPM are discussed. The GPM approach has many advantages in terms of the high-scale parallelism, multi-objective optimization, multi-type coordination, multi-degree autonomy, multi-granalarity coalition, and the ability to deal complex phenomena in systems.
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页码：182 / +
页数：2
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