Results 181 to 190 of about 12,042 (216)

LQR optimization of linear system switching

IEEE Transactions on Automatic Control, 2002
Considers offline optimization of a switching sequence for a given finite set of linear control systems, together with joint optimization of control laws. A linear quadratic full information criterion is optimized and dynamic programming is used to find an optimal switching sequence and control law.
Bo Lincoln, Bo Bernhardsson
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LQR for State-Bounded Structural Control

Journal of Dynamic Systems, Measurement, and Control, 1996
In order to prevent structural damages, it is more important to bound the vibration amplitude than to reduce the vibration energy. However, in the performance index for linear quadratic regulator (LQR), the instantaneous amplitude of vibration is not minimized.
Chuang, C.-H., Wu, D.-N., Wang, Q.
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On stochastic LQR design and polynomial chaos

2008 American Control Conference, 2008
In this paper we develop a novel theoretical framework for linear quadratic regulator design for linear systems with probabilistic uncertainty in the parameters. The framework is built on the generalized polynomial chaos theory, which can handle Gaussian, uniform, beta and gamma distributions.
James Fisher, Raktim Bhattacharya
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A comparison between optimal LQR control and LQR predictive control of a planar robot of 2DOF

2020 IEEE XXVII International Conference on Electronics, Electrical Engineering and Computing (INTERCON), 2020
This work employs a LQR (Linear Quadratic Regulator) predictive control as well as a LQR controller to control the angular servomotor positions of a planar robot of 2DOF (2 Degrees of Freedom). The goal of such a pantograph type robot is to manipulate the X–Y positions of a 4–bar linkage end effector using two rotary servo base units connected to two ...
A. Ortegan-Vidal, F. Salazarn-Vasquez, A. Rojasn-Moreno   +2 more
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On the Design of LQR Multirate Controllers

1986 American Control Conference, 1986
The design of linear quadratic optimal (LQR) controllers for multirate systems is considered. It is assumed that the sampling rates involved are ratios of integers. The design is based on modelling the sampled-data system at a suitably defined fast rate. The modelling technique can be easily extended to other multirate controller structures.
K. Natarajan, R. Balasubramanian
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Modelling of LQR and Fuzzy-LQR Controllers for Stabilisation of Multi-link Robotic System (Robogymnast)

2022 8th International Conference on Automation, Robotics and Applications (ICARA), 2022
Bdereddin Abdul Samad, Fatih Anayi, Yevgen Melikhov, Mahmoud Mohamed, Ehsan Altayef   +4 more
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Design and Performance of LQR and LQR based Fuzzy Controller for Double Inverted Pendulum System

Journal of Image and Graphics, 2013
 Abstract—The objective of this paper is to compare performance between two type of controller for a double inverted pendulum system. Double inverted pendulum is a non-linear, unstable and fast reaction system. DIP is stable when its two pendulums allocated in vertically position and have no oscillation and movement and also inserting force should be ...
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Quanser's 3-DOF Helicopter control using LQR-I and MPC-based LQR controllers

2023 International Conference on Control, Automation and Diagnosis (ICCAD), 2023
Oussama Lahmar, Latifa Abdou, Imam Barket Ghiloubi   +2 more
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Robust LQR and LQR-PI control strategies based on adaptive weighting matrix selection for a UAV position and attitude tracking control

AEJ - Alexandria Engineering Journal, 2022
Şeref Naci Engin
exaly  

COMPARISON OF LQR AND LQR-MRAC FOR LINEAR TRACTOR-TRAILER MODEL

2023
openaire   +1 more source