On nonlinear discrete-time systems driven by Markov chains

DOI10.1016/j.jfranklin.2010.02.009zbMath1286.93161OpenAlexW2067815755MaRDI QIDQ2449812

W. Steven Gray, Arturo Tejada, Oscar R. González

Publication date: 12 May 2014

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2010.02.009

zbMATH Keywords

Markov kernelMarkov propertystochastic hybrid systems

Mathematics Subject Classification ID

Discrete-time control/observation systems (93C55) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Stochastic systems in control theory (general) (93E03) Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems) (93C30)

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Cites Work

• Controllability of linear stochastic systems
• Markov chains and invariant probabilities
• Stochastic hybrid systems. Theory and safety critical applications.
• Stochastic stability analysis for continuous-time fault tolerant control systems
• Stabilization of continuous-time jump linear systems
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