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Abstract
We study several aspects of the dynamic programming approach to optimal control of abstract evolution equations, including a class of semilinear partial differential equations. We introduce and prove a verification theorem which provides a sufficient condition for optimality. Moreover we prove sub- and superoptimality principles of dynamic programming and present an explicit construction of ε-optimal controls.
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GF
Giorgio Fabbri
Dip. di Studi Economici, Università di Napoli and: School of Mathematics and Statistics, University of New South Wales, Sydney, Australia
G. Fabbri, F. Gozzi, A. Swiech. “Verification Theorem and Construction of ε-Optimal Controls for Control of Abstract Evolution Equations.” Journal of Convex Analysis 17 (2010), No. 2, 611–642.