Two kinds of optimal controls for probabilistic mix-valued logical dynamic networks

DOI10.1007/s11432-013-4796-7zbMath1327.93419OpenAlexW1980988355MaRDI QIDQ893620

Yuzhen Wang, Haitao Li, Zhenbin Liu

Publication date: 20 November 2015

Published in: Science China. Information Sciences (Search for Journal in Brave)

Full work available at URL: http://engine.scichina.com/doi/10.1007/s11432-013-4796-7

zbMATH Keywords

optimal controldynamic programmingMarkov chainsemi-tensor productfirst-passage modelprobabilistic mix-valued logical network

Mathematics Subject Classification ID

Programming involving graphs or networks (90C35) Dynamic programming in optimal control and differential games (49L20) Dynamic programming (90C39) Interacting random processes; statistical mechanics type models; percolation theory (60K35) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Optimal stochastic control (93E20)

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Cites Work

• A matrix approach to graph maximum stable set and coloring problems with application to multi-agent systems
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• External control in Markovian genetic regulatory networks
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• Optimal infinite-horizon control for probabilistic Boolean networks
• A Linear Representation of Dynamics of Boolean Networks
• Controllability of time-variant Boolean control networks and its application to Boolean control networks with finite memories
• Singular Boolean networks: Semi-tensor product approach
• Disturbance Decoupling of Boolean Control Networks
• A Maximum Principle for Single-Input Boolean Control Networks
• Optimal Control of Logical Control Networks
• Stochastic Games

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