Abstract

Optimum control of a linear large scale dynamic system is formulated as a game problem using individual subsystem quadratic cost functions and an overall Nash solution strategy. Computational complexities of the exact solution for large systems is overcome by parametric series solution based on ϵ-coupling. Computational virtues of this approach are noted, and the relation of the approximate and exact solutions is examined.

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