Results 41 to 50 of about 11,015,327 (213)
LQR for Systems with Probabilistic Parametric Uncertainties: A Gradient Method
CoRR16 pages, 5 ...
Leilei Cui 0002, Richard D. Braatz
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IEEE AccessThis paper presents the robust linear quadratic regulator (LQR) control for the uncertain modular multilevel converters (MMCs). The classical LQR control prioritizes optimizing the performance index but lacks the ability to address converter ...
Homa Sheikhi Jouybary +3 more
doaj +1 more source
Constrained LQR Design Using Interior-Point Arc-Search Method for Convex Quadratic Programming with Box Constraints [PDF]
, 2013 Although the classical LQR design method has been very successful in real world engineering designs, in some cases, the classical design method needs modifications because of the saturation in actuators.
Yang, Yaguang
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Journal of Mechatronics, Electrical Power, and Vehicular Technology, 2022 Controller design for airplane flight control is challenged to achieve an optimum result, particularly for safety purposes. The experiment evaluated the linear quadratic regulator (LQR) method to research the optimal gain of proportional-integral ...
Jalu Ahmad Prakosa +4 more
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Theory of Optimal Transportation Over LQR: Free-Final-States Compared to Fixed-Final-States
IEEE AccessIn this paper, we address the optimal transport problem over a linear quadratic regulator with free-final-states (the free OT-LQR problem). We prove the existence and uniqueness of the solution and discuss the regularity conditions for the optimal ...
Mahdi H. Azad, Nima Assadian
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Advanced Robotics Research, EarlyView.This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi +2 more
wiley +1 more source
Fourier-splitting method for solving hyperbolic LQR problems
Numerical Algebra, Control & Optimization, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Csomós, Petra, Mena, Hermann
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Novel Results on Output-Feedback LQR Design [PDF]
, 2023 This paper provides novel developments in output-feedback stabilization for linear time-invariant systems within the linear quadratic regulator (LQR) framework.
Ilka, Adrian +5 more
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Advanced Intelligent Discovery, EarlyView.The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu +11 more
wiley +1 more source
Systems Science & Control EngineeringFor the problem of control of flexible linear double inverted pendulum (FLDIP), considering that the method of obtaining LQR parameters through traditional manual trial-and-error is too cumbersome, and the basic particle swarm optimization algorithm has ...
De-Xin Zhu, Nan Cui
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