GENERATION OF STATIONARY CONTROL POLICIES WITH BEST EXPECTED PERFORMANCE FOR A FAMILY OF MARKOV CHAINS

DOI10.1142/S0218339012400050zbMath1342.92091OpenAlexW2127596543MaRDI QIDQ3186190

Noah Berlow, Ranadip Pal

Publication date: 9 August 2016

Published in: Journal of Biological Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218339012400050

zbMATH Keywords

perturbation of Markov chainsgenetic regulatory network controlstationary control policy

Mathematics Subject Classification ID

Medical applications (general) (92C50) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20)

Cites Work

• Matrix multiplication via arithmetic progressions
• Stationary distributions of perturbed Markov chains
• Stationary distributions and mean first passage times of perturbed Markov chains
• Robust Intervention in Probabilistic Boolean Networks
• Bayesian Robustness in the Control of Gene Regulatory Networks
• Characterizing the Effect of Coarse-Scale PBN Modeling on Dynamics and Intervention Performance of Genetic Regulatory Networks Represented by Stochastic Master Equation Models
• Optimal infinite-horizon control for probabilistic Boolean networks
• Robust Dynamic Programming

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