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The Robustness of Linear Quadratic Regulator (LQR) and Linear Quadratic Regulator Tracker (LQRT) Cascaded With Line-Of-Sight (LOS) Guidance Law for Quadrotor to Accomplish SAR Mission

2024 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)
Muhammad Putra Rasuanta   +11 more
exaly   +2 more sources

A Genetic Algorithm Convergence and Models for Eigenstructure Assignment via Linear Quadratic Regulator (LQR)

IEEE Latin America Transactions, 2008
In this article, models and a genetic algorithm convergence analysis method for the LQR weight matrices determination are presented. The control goal is the eigenstructures allocation in multivariable dynamic systems imposed by the optimal control law, and the analysis procedure goal is the speeding up of the convergence through metrics based upon ...
Joao Viana Fonseca   +4 more
openaire   +1 more source

Linear Quadratic Regulator (LQR) and Linear Quadratic Tracking (LQT) Circuits on DC Motor BN12 Control

Sustainable Energy Control and Optimization
In the modern era, the development of renewable energy technology has rapidly advanced, and one key approach to improving technology is through system optimization. System optimization involves solving problems to achieve the best possible conditions, resulting in maximum or minimum values for system performance.
Rachma Prilian Eviningsih   +2 more
openaire   +1 more source

Autonomous Flight of Unmanned Aerial Vehicle (UAV) by using Linear Quadratic Regulator (LQR)

International Journal of Control and Automation, 2015
The linear quadratic regulator based autopilot is premeditated for level flight of unmanned aerial vehicle (UAV) which has been achieved lucratively. Diverse modes are utilized for controlling the rates of UAV. The pitch rate is controlled by utilizing the phugoid mode, the roll rate is controlled by utilizing the roll mode and the spiral mode is ...
Muhammad Taimoor   +3 more
openaire   +1 more source

Longitudinal stability augmentation control for turbojet UAV based on linear quadratic regulator (LQR) approach

AIP Conference Proceedings, 2020
This paper focuses on stability augmentation control system development for fixed-wing Turbojet Unmanned Aerial Vehicle (UAV). UAV model is generated by using digital DATCOM software to calculate aerodynamic derivatives. Longitudinal flight dynamics will be used to synthesize control responses in xb and zb plane. This research of stability augmentation
I. E. Putro, R. A. Duhri
openaire   +1 more source

Controller Design and Optimization of Magnetic Levitation System (MAGLEV) using Particle Swarm optimization technique and Linear Quadratic Regulator (LQR)

2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES), 2020
Magnetic Levitation System is one of practical examples which faces some nonlinearities behavior. Such systems require special types of controller parameters consideration for accurate results. In this paper, the process of tuning is to determine the system poles and getting them away from the instability region using state feedback (SF) controller ...
Ahmed Ashraf Abbas   +2 more
openaire   +2 more sources

Policy Space Exploration for Linear Quadratic Regulator (LQR) Using Augmented Random Search (ARS) Algorithm

2020
Considering the recent developments in embedded systems and automotive industry, it is quite evident that in very near future many application-based electronic devices will adapt the automation in its daily based activities. This automation will make the devices more powerful and will enhance its services.
Sruthin Velamati, V. Padmaja
openaire   +1 more source

Application of linear quadratic regulator (LQR) in displacement control of an active mass damper

Proceedings of 2003 IEEE Conference on Control Applications, 2003. CCA 2003., 2004
Mahdi Jalili-Kharaajoo   +4 more
openaire   +2 more sources

Extended linear quadratic regulator control and its application in trajectory following control of autonomous vehicles

International Journal of Modelling, Identification and Control, 2023
Jianwei Wu
exaly  

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