Results 31 to 40 of about 11,015,327 (213)
Safety research on stabilization of autonomous vehicles based on improved-LQR control
AIP Advances, 2022 Mediating the divergent interest of vehicle stability and strengthened path tracking performance when aiming at the design of a path tracking controller for autonomous vehicles is a challenging issue.
Hao Li +4 more
doaj +1 more source
, 2023 Supplemental material, sj-docx-4-lqr-10.1177_00243639231167235 for Effectiveness of a Postpartum Breastfeeding Protocol for Avoiding Pregnancy by Mary M. Schneider, Richard J.
Richard J. Fehring (15448842) +2 more
core +1 more source
IEEE Access, 2021 Efficient, robust and precise algorithms for linear quadratic regulator (LQR) and matrix differential Riccati equation (MDRE) are essential in optimal control.
Hong-Yan Zhang, Jia-Zhen Luo, Yu Zhou
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, 2023 Supplemental material, sj-docx-1-lqr-10.1177_00243639231167235 for Effectiveness of a Postpartum Breastfeeding Protocol for Avoiding Pregnancy by Mary M. Schneider, Richard J.
Richard J. Fehring (15448842) +2 more
core +1 more source
Active Control of Structures Using Energy-Based LQR Method
Computer-Aided Civil and Infrastructure Engineering, 2006 : In this article, a new energy-based technique is proposed to eliminate trial and error in finding appropriate gain matrices in linear quadratic regulator (LQR) controllers used in active control of structures. The gain matrix is obtained by considering the energy of the structure.
Ali Alavinasab +2 more
openaire +2 more sources
An auto-tuning LQR based on correlation analysis [PDF]
, 2021 In this paper, we present an auto-tuning method for Linear Quadratic Regulator (LQR) based on correlation analysis. Unlike previous studies which focused on LQR tuning strategies exclusively by evaluating the control performance, we propose to explore ...
Huang, Xujiang, Li, Pu
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Global Convergence of Policy Gradient Primal–Dual Methods for Risk-Constrained LQRs
IEEE Transactions on Automatic Control, 2023 While the techniques in optimal control theory are often model-based, the policy optimization (PO) approach directly optimizes the performance metric of interest. Even though it has been an essential approach for reinforcement learning problems, there is little theoretical understanding on its performance.
Feiran Zhao, Keyou You, Tamer Basar
openaire +4 more sources
Optimizing of Lqr Controller Parameters for Quadcopters [PDF]
, 2021 Yüksek Lisans TeziQuadcopterler üzerinde yapılan çalışmaların önemi özellikle son yirmi yılda oldukça artmıştır. Teknolojik gelişmeler, quadcopterlerin başarılı uçuşlar gerçekleştirmesi için yeterli donanım ve tasarım olanakları sunmaktadır.
Büyüker, Yasin
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Sequential synthesis of PID controllers based on LQR method
Revista Mexicana de Ingeniería Química, 2019 The linear quadratic regulator (LQR) method is generalized to allow synthesis of PID controllers in MIMO processes. The proposed method is sequentially applied to produce proportional, integral and derivative actions. Three major usages are conceived for the proposed methodology: (i) > design of PID controllers, (ii) addition of derivative action to ...
M.A. Hernández-Osorio +4 more
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Energies, 2022 In this paper, a heuristic approach to doubly fed induction generator (DFIG) protection and low voltage ride through (LVRT) is carried out. DFIG-based wind systems are rapidly penetrating the power generation section.
Kumeshan Reddy, Akshay Kumar Saha
doaj +1 more source