Distributed system design and control via multiple objectives optimization

Author

Guez, Allon ; Cochran, Robert E. ; Rusnak, Ilan

Author_Institution

Drexel Univ., Philadelphia, PA, USA

fYear

2004

fDate

13-15 Dec. 2004

Firstpage

439

Lastpage

442

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.

Keywords

control engineering computing; decision making; distributed control; intelligent control; multi-agent systems; optimisation; autonomous decision-making capabilities; autonomous distributed agents; collision avoidance; complex environment; degraded communications; distributed intelligent control; distributed intelligent system design; heterogeneous clusters; homogeneous clusters; optimization; sensor failures; situation awareness; team members; Automatic control; Collaboration; Collision avoidance; Communication system control; Control systems; Decision making; Degradation; Design optimization; Intelligent sensors; Intelligent systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Circuits and Systems, 2004. ICECS 2004. Proceedings of the 2004 11th IEEE International Conference on

Print_ISBN

0-7803-8715-5

Type

conf

DOI

10.1109/ICECS.2004.1399712

Filename

1399712