Nov 15, 2018 · This paper proposes an approximate optimal control strategy approach to the infinite-horizon optimal control problem based on probabilistic ...
Dec 31, 2018 · ABSTRACT Genetic regulatory networks (GRNs) are significant fundamental biological networks through which biological system functions can be ...
Dec 14, 2017 · In this paper, we apply probabilistic model checking, a formal verification technique, to optimal control for a CS-PBNp that minimizes the ...
Model Checking Optimal Infinite-Horizon Control for Probabilistic Gene Regulatory Networks · IEEE Access 6: 77299-77307 · 2018 · Related References · Quick Search.
Dec 14, 2017 · The approach based on probabilistic model checking for optimal control avoids explicit computation of large-size state transition relations ...
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This paper considers the design of optimal infinite-horizon control for probabilistic Boolean networks (PBNs) and shows that the stationary policiy obtained ...
External control of a genetic regulatory network is used for the purpose of avoiding undesirable states, such as those associated with disease.
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Nov 25, 2021 · In this article, we formulate the infinite horizon discounted cost optimal control problem by leveraging the Markov decision process (MDP) based PBCN structure ...
A new mathematical model, which is called probabilistic Boolean networks (PBNs), has been developed to model complex genetic regulatory networks during the past ...
According to MDP theory,finite-horizon optimal control problem and infinite-horizon optimal control problem can be solved by using probabilistic model checking.