Results 191 to 200 of about 16,024 (227)

Simulation Performance Evaluation of Pure Pursuit, Stanley, LQR, MPC Controller for Autonomous Vehicles

International Conference on Real-time Computing and Robotics, 2021
Autonomous vehicles have been gaining increasing attentions, one key research interesting is stable path tracking for an advanced driver assistance system.
Jia Liu, Zhiheng Yang, Zhejun Huang, Wenfei Li, Shaobo Dang, Huiyun Li   +5 more
semanticscholar   +1 more source

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.
openaire   +2 more sources

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
openaire   +1 more source

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
openaire   +1 more source

LQR model with noise amplification

Proceedings of 1995 American Control Conference - ACC'95, 2005
We examine the control of a linear system in which the noise is amplified by a quantity which is quadratic in the state and in the control. We develop the Bellman-Hamilton-Jacobi partial differential equation for our problem, assuming a quadratic cost index. We find that the optimal control can also be expressed in conventional feedback form, u/sup opt/
D. Zes, R.W. Bass
openaire   +1 more source

A comparative study of anti-swing radial basis neural-fuzzy LQR controller for multi-degree-of-freedom rotary pendulum systems

Neural computing & applications (Print), 2023
Zied Ben Hazem, Z. Bingül
semanticscholar   +1 more source

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
openaire   +1 more source

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 ...
openaire   +1 more source

LQR-based attitude controllers design for a 3-DOF helicopter system with comparative experimental tests

International Journal of Dynamics and Control, 2023
Tianao Zhao, W. Li
semanticscholar   +1 more source

On LQR controller design for an inverted pendulum stabilization

International Journal of Dynamics and Control, 2022
Sanjay Joseph Chacko, R. J. Abraham
semanticscholar   +1 more source