Results 61 to 70 of about 11,015,327 (213)
On a feedback-feedforward identification control algorithm for feedback active controlled structures
Vietnam Journal of Mechanics, 2007 Linear quadratic regulator (LQR) is an effective method of feedback active control theory. However, the LQR control is not truly optimal because it is only a feedback algorithm, i.e. the external excitation term is ignored in the optimal equation.
La Duc Viet, Nguyen Dong Anh
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State Estimation with Reduced-Order Observer and Adaptive-LQR Control of Time Varying Linear System
Elektronika ir Elektrotechnika, 2020 In this study, a new controller design was created to increase the control performance of a variable loaded time varying linear system. For this purpose, a state estimation with reduced order observer and adaptive-LQR (Linear–Quadratic Regulator) control
Omer Aydogdu, Mehmet Latif Levent
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Energies, 2023 This article presents a neural algorithm based on Reinforcement Learning for optimising Linear Quadratic Regulator (LQR) creation. The proposed method allows designing such a target function that automatically leads to changes in the quality and resource
Mateusz Kozek +2 more
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Rylands v Fletcher Redux: Rubis Bahamas Ltd v Russell
The Modern Law Review, EarlyView.The decision of the Judicial Committee of the Privy Council in Rubis Bahamas Ltd v Russell is the most significant development in the law of Rylands v Fletcher for decades. Rejecting the view that the rule is merely a sub‐species of private nuisance, the Committee reconstructed it as an independent rule of strict liability governing harm caused by ...
Marco Cappelletti
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Robust Footstep Planning and LQR Control for Dynamic Quadrupedal Locomotion [PDF]
, 2021 In this paper, we aim to improve the robustness of dynamic quadrupedal locomotion through two aspects: 1) fast model predictive foothold planning, and 2) applying LQR to projected inverse dynamic control for robust motion tracking.
Xin, Songyan +7 more
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F3AMD: Fast FiLM‐Conditioned Fourier Autoregressive Motion Diffusion
Computer Graphics Forum, EarlyView.Abstract Recent advances in generative motion synthesis have enabled realtime autoregressive generation of diverse and realistic character animations conditioned on user inputs, as demonstrated by models such as the Conditional Autoregressive Motion Diffusion Model (CAMDM).
Calvin Z. Qiao +5 more
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LQR Control Methods for Trajectory Execution in Omnidirectional Mobile Robots [PDF]
, 2011 Omnidirectional mobile robots present the advantage of being able to move in any direction without having to rotate around the vertical axis first. While simple straight-line paths are relatively easy to achieve on this kind of robots, in many highly dynamic applications straight-line paths might just not be a feasible solution.
Luis F., Josue R.
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On Application of the Ray-Shooting Method for LQR via Static-Output-Feedback
Algorithms, 2018 In this article we suggest a randomized algorithm for the LQR (Linear Quadratic Regulator) optimal-control problem via static-output-feedback. The suggested algorithm is based on the recently introduced randomized optimization method called the Ray-Shooting Method that efficiently solves the global minimization problem of continuous functions over ...
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Journal of Oral Pathology &Medicine, EarlyView.ABSTRACT Background Oral squamous cell carcinoma (OSCC) is an aggressive malignancy with limited prognostic biomarkers, in which metabolic reprogramming contributes to tumor progression. Amino acid transporters of the solute carrier family have emerged as key regulators of cancer biology; however, the role of solute carrier family 7 member 3 (SLC7A3 ...
Lilianny Querino Rocha de Oliveira +7 more
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Jurnal Nasional Teknik Elektro, 2014 This journal discusses about the performance analysis of frequency control power system in multi machine with Linear Quadratic Regulator method (LQR).
Heru Dibyo Laksono, M. Reza Permana
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