Results 41 to 50 of about 3,372,458 (196)

Design of linear quadratic regulator (LQR) control system for flight stability of LSU-05

Journal of Physics: Conference Series, 2017
Lapan Surveillance UAV-05 (LSU-05) is an unmanned aerial vehicle designed to cruise time in 6 hours and cruise velocity about 30 m/s. Mission of LSU-05 is surveillance for researchs and observations such as traffics and disaster investigations. This paper aims to design a control system on the LSU-05 to fly steadily.
Heri Purnawan, null Mardlijah, Eko Budi Purwanto   +2 more
openaire   +1 more source

High-Performance Robust Controller Design of Plug-In Hybrid Electric Vehicle for Frequency Regulation of Smart Grid Using Linear Matrix Inequality Approach

IEEE Access, 2019
This paper proposes a high-performance and robust linear quadratic regulator-proportional integral derivative (LQR-PID) controller for frequency regulation in a two-area interconnected smart grid with a population of plug-in hybrid electric vehicles ...
Sajal Kumar Das, Mizanur Rahman, Sanjoy Kumar Paul, Maniza Armin, Priyo Nath Roy, Norottom Paul   +5 more
doaj   +1 more source

An Optimal Power Control Strategy for Grid-Following Inverters in a Synchronous Frame

Applied Sciences, 2020
This work proposes a power control strategy based on the linear quadratic regulator with optimal reference tracking (LQR-ORT) for a three-phase inverter-based generator (IBG) using an LCL filter.
Juan F. Patarroyo-Montenegro, Jesus D. Vasquez-Plaza, Fabio Andrade, Lingling Fan   +3 more
doaj   +1 more source

Multi-Mode Active Suspension Control Based on a Genetic K-Means Clustering Linear Quadratic Algorithm

Applied Sciences, 2021
The traditional Linear quadratic regulator (LQR) control algorithm depends too much on expert experience during the selection of weighting coefficients.
Kun Wu, Jiang Liu, Min Li, Jianze Liu, Yushun Wang   +4 more
doaj   +1 more source

Performance improvement of discrete‐time linear‐quadratic regulators applied to uncertain linear systems using the Tikhonov regularization method

Asian Journal of Control, EarlyView.
Abstract The linear‐quadratic regulator (LQR) problem of optimal control of an uncertain discrete‐time linear system (DTLS) is revisited in this paper from the perspective of Tikhonov regularization. We show that an optimally chosen regularization parameter reduces, compared to the classical LQR, the values of a scalar error function, as well as the ...
Fernando Pazos, Amit Bhaya
wiley   +1 more source

Linear quadratic regulator (LQR) controller design for DC Servo motor [PDF]

, 2013
This project is focused mainly on designing and implementing Linear Quadratic Regulator (LQR) controller and PID controller for a Dc servo motor.
Haron, Hartini Sharninayati
core  

DESAIN KENDALI OPTIMAL LINEAR QUADRATIC REGULATOR(LQR)-PID PADA MOTOR INDUKSI TIGA FASA UNTUK PENGENDALIAN KECEPATAN [PDF]

, 2017
Motor induksimerupakan salah satu peralatan listrik yang banyak digunakan dalam dunia industri, karena konstruksinya yang sederhana, kokoh serta perawatannya yang mudah. Namun, masalah yang terjadi adalah kecepatannya yang cenderung tidak
MUHAMAD TAUFIQ
core   +1 more source

Design of an active compliant liquid column damper by LQR and wavelet linear quadratic regulator control strategies [PDF]

Structural Control and Health Monitoring, 2018
PUBLISHED
Soumi Bhattacharyya, Aparna Dey Ghosh, Biswajit Basu   +2 more
openaire   +3 more sources

The role of identification in data‐driven policy iteration: A system theoretic study

International Journal of Robust and Nonlinear Control, EarlyView.
Abstract The goal of this article is to study fundamental mechanisms behind so‐called indirect and direct data‐driven control for unknown systems. Specifically, we consider policy iteration applied to the linear quadratic regulator problem. Two iterative procedures, where data collected from the system are repeatedly used to compute new estimates of ...
Bowen Song, Andrea Iannelli
wiley   +1 more source

Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers

Advanced Science, Volume 13, Issue 56, 9 October 2026.
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao, Misheng Cai, Zhenghong Wang, Yan Wang, Yuqi Li, Bo Dong, Hewu Wang, Andrew F. Burke, Simona Onori, Stephen J. Harris   +9 more
wiley   +1 more source