Convex optimization formulation of density upper bound constraints in Markov chain synthesis

Abstract

This paper introduces a new approach for the synthesis of Markov chains with density upper bound constraints. The proposed approach is based on a new mathematical result that formulates the density upper bound constraints, known also as safety constraints, as linear, and hence convex, inequality constraints. It is proved that the new convex constraints are… (More)
DOI: 10.1109/ACC.2014.6859065

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Cite this paper

@article{Demir2014ConvexOF, title={Convex optimization formulation of density upper bound constraints in Markov chain synthesis}, author={Nazli Demir and Behçet Açikmese and Matthew W. Harris}, journal={2014 American Control Conference}, year={2014}, pages={483-488} }