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Distributed system design and control via multiple objectives optimization
Conference proceeding

Distributed system design and control via multiple objectives optimization

A Guez, R.E Cochran, I Rusnak and IEEE
Proceedings of the 2004 11th IEEE International Conference on Electronics, Circuits and Systems, 2004. ICECS 2004, pp 439-442
2004

Abstract

Automatic control Collaboration Collision avoidance Communication system control Control systems Decision making Degradation Design optimization Intelligent sensors Intelligent systems
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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Web of Science research areas
Computer Science, Hardware & Architecture
Engineering, Electrical & Electronic
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