Finite-horizon LQR controller for partially-observed Boolean dynamical systems

DOI10.1016/j.automatica.2018.05.028zbMath1402.93145OpenAlexW2805132384WikidataQ129738836 ScholiaQ129738836MaRDI QIDQ1626876

Mahdi Imani, Ulisses M. Braga-Neto

Publication date: 21 November 2018

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2018.05.028

zbMATH Keywords

linear quadratic regulatorgene regulatory networkspartially-observed Boolean dynamical systemsfinite horizon control

Mathematics Subject Classification ID

Feedback control (93B52) Stochastic network models in operations research (90B15) Linear systems in control theory (93C05) Linearizations (93B18) Linear-quadratic optimal control problems (49N10) Biochemistry, molecular biology (92C40) Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems) (93C30) Software, source code, etc. for problems pertaining to systems and control theory (93-04) Systems biology, networks (92C42)

Related Items (3)

Second-order sliding mode control for nonlinear fractional-order systems ⋮ State-flipped control and Q-learning for finite horizon output tracking of Boolean control networks ⋮ Boolean Kalman filter and smoother under model uncertainty

Cites Work

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• External control in Markovian genetic regulatory networks
• Control of Gene Regulatory Networks With Noisy Measurements and Uncertain Inputs
• Robust Intervention in Probabilistic Boolean Networks
• Optimal infinite-horizon control for probabilistic Boolean networks
• Stationary and structural control in gene regulatory networks: basic concepts
• Approximate Dynamic Programming

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