Reduced-dimensional reinforcement learning control using singular perturbation approximations

DOI10.1016/j.automatica.2020.109451zbMath1461.93330arXiv2004.14501OpenAlexW3023262556WikidataQ114204920 ScholiaQ114204920MaRDI QIDQ2664206

Sayak Mukherjee, Aranya Chakrabortty, He Bai

Publication date: 20 April 2021

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2004.14501

zbMATH Keywords

singular perturbationlinear quadratic regulatormodel reductionreinforcement learningmodel-free control

Mathematics Subject Classification ID

Feedback control (93B52) Linear systems in control theory (93C05) Time-scale analysis and singular perturbations in control/observation systems (93C70) System structure simplification (93B11)

Related Items (5)

Robust H_∞ control for fractional order singular systems 0 < α < 1 with uncertainty ⋮ A novel actor-critic-identifier architecture for nonlinear multiagent systems with gradient descent method ⋮ Linear quadratic tracking control of unknown systems: a two-phase reinforcement learning method ⋮ Incremental reinforcement learning and optimal output regulation under unmeasurable disturbances ⋮ Model-based and model-free designs for an extended continuous-time LQR with exogenous inputs

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• A decomposition of near-optimum regulators for systems with slow and fast modes
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