Title :
Near-optimal Pareto coordination of composite systems
Author :
Mizukami, Koichi ; Xu, Hua
Author_Institution :
Fac. of Integrated Arts & Sci., Hiroshima Univ., Japan
Abstract :
The Pareto-optimal coordination problem in a large-scale composite system when cooperation among decision makers is not expected is studied. Because of the existence of a small singular perturbation parameter in the composite system, the construction of the full-order coordinating strategy is parametrically stiff and ill-conditioned. Instead, it might be possible to use the reduced-order coordination design to overcome the difficulties arising in the full-order coordination design. The authors propose a reduced-order procedure to construct the coordinating strategy for the coordinator and prove that the method produces the well-posed coordinating strategy
Keywords :
decision theory; large-scale systems; composite systems; full-order coordinating strategy; near optimal Pareto coordination; reduced-order coordination design; singular perturbation parameter; Art; Artificial intelligence; Cost function; Decision making; Interconnected systems; Large scale integration; Large-scale systems; Nash equilibrium;
Conference_Titel :
Industrial Electronics Society, 1990. IECON '90., 16th Annual Conference of IEEE
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-87942-600-4
DOI :
10.1109/IECON.1990.149120