Finite-horizon LQ control for unknown discrete-time linear systems via extremum seeking
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Publication:397502
DOI10.1016/j.ejcon.2013.05.015zbMath1293.49080OpenAlexW2056986241WikidataQ59621562 ScholiaQ59621562MaRDI QIDQ397502
Tamer Başar, Paul Frihauf, Krstić, Miroslav
Publication date: 12 August 2014
Published in: European Journal of Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejcon.2013.05.015
Newton-type methods (49M15) Discrete-time control/observation systems (93C55) Linear systems in control theory (93C05) Linear-quadratic optimal control problems (49N10)
Related Items (11)
Almost sure convergence of extremum seeking algorithm using stochastic perturbation ⋮ Newton's method, Bellman recursion and differential dynamic programming for unconstrained nonlinear dynamic games ⋮ Deterministic and stochastic Newton-based extremum seeking for higher derivatives of unknown maps with delays ⋮ 100 years of extremum seeking: a survey ⋮ Dual-loop iterative optimal control for the finite horizon LQR problem with unknown dynamics ⋮ Model-based and model-free designs for an extended continuous-time LQR with exogenous inputs ⋮ Extremum seeking-based perfect adaptive tracking of non-PE references despite nonvanishing variance of perturbation ⋮ Hybrid online learning control in networked multiagent systems: A survey ⋮ Learning‐based iterative modular adaptive control for nonlinear systems ⋮ Robustness to delay mismatch in extremum seeking ⋮ Iterative learning control based on extremum seeking
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