Evolutionary adaptation of dispatching agents in heterarchical manufacturing systems

被引:38
作者
Maione, B [1 ]
Naso, D [1 ]
机构
[1] Politecn Bari, Dipartimento Elettrotecn & Elettron, I-70125 Bari, Italy
关键词
D O I
10.1080/00207540010023574
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
We propose a new approach to job flow adaptive operational control in advanced manufacturing systems. The major feature of the method is the distribution of the control tasks among completely autonomous intelligent agents. Namely, agents are implicitly coordinated by a nature-analogous adaptation mechanism, which continuously tunes the free parameters of the control law of each agent. The proposed approach is effective and reactive to severe disturbances and changes in the manufacturing environment. Simulation experiments illustrate the operational distributed approach and its response to faults.
引用
收藏
页码:1481 / 1503
页数:23
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