Results 251 to 260 of about 50,657 (291)
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Steepest descent as Linear Quadratic Regulation
2021Concorder un modèle à certaines observations, voilà qui résume assez bien ce que l’apprentissage machine cherche à accomplir. Ce concept est maintenant omniprésent dans nos vies, entre autre grâce aux percées récentes en apprentissage profond. La stratégie d’optimisation prédominante pour ces deux domaines est la minimisation d’un objectif donné.
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Reduced explicit constrained linear quadratic regulators
IEEE Transactions on Automatic Control, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Design of Robust Linear Quadratic Regulator
1989 American Control Conference, 1989The problem of designing a robust optimal controller for linear time-invariant system using LQ regulator theory is considered. A sufficient condition is derived to show that a nominally optimal law designed with adequate degree of stability remains optimal for perturbed system with fixed perturbations in the state matrix.
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Dynamic Gain Adaptation in Linear Quadratic Regulators
IEEE Transactions on Automatic ControlzbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Structured Linear Quadratic Regulator Design
2023 27th International Conference on System Theory, Control and Computing (ICSTCC), 2023Philipp Schaub, Ulrich Konigorksi
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Local Learning Enabled Iterative Linear Quadratic Regulator for Constrained Trajectory Planning
IEEE Transactions on Neural Networks and Learning Systems, 2023JUN MA, Zilong Cheng, Xiaoxue Zhang
exaly
Discounted-Cost Linear Quadratic Output Regulation of Switched Linear Systems
Circuits, Systems, and Signal Processing, 2022Aoxue Xiang, Ruicheng Ma, Yetian Fan
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Policy Gradient Methods for the Noisy Linear Quadratic Regulator over a Finite Horizon
SIAM Journal on Control and Optimization, 2021Renyuan Xu
exaly