Results 101 to 110 of about 30,858 (141)

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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LQR via First Order Flows

2020 American Control Conference (ACC), 2020
We consider the Linear-Quadratic-Regulator (LQR) problem in terms of optimizing a real-valued matrix function over the set of feedback gains. Such a setup facilitates examining the implications of a natural initial-state independent formulation of LQR in designing first order algorithms.
Jingjing Bu, Afshin Mesbahi, Mehran Mesbahi   +2 more
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LQR synthesis via eigenstructure assignment

IFAC Proceedings Volumes, 1999
Abstract In this paper, a novel relation between the weighting matrix Q in LQR and an eigenstructure of the desired closed-loop system is proposed. The method of a block controller transformation is utilized to develop the scheme. Using the proposed algorithm, the state feedback gain with the desired eigenstructure in the LQR can be obtained.
Jae Weon Choi, Young Bong Seo
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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
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Optimal Linear-Consensus Algorithms: An LQR Perspective

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2010
Laplacian matrices play an important role in linear-consensus algorithms. This paper studies optimal linear-consensus algorithms for multivehicle systems with single-integrator dynamics in both continuous-time and discrete-time settings. We propose two global cost functions, namely, interaction-free and interaction-related cost functions.
Yongcan, Cao, Wei, Ren
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Comparison between GA-based LQR and conventional LQR control method of DFIG wind energy system

2016 3rd International Conference on Recent Advances in Information Technology (RAIT), 2016
This work addresses an application of genetic algorithm (GA) methodology in doubly-fed induction generator (DFIG) systems to optimize the weighting matrices of the linear quadratic regulator (LQR). The GA-based LQR control technique will elude the trial-and-error approach in constructing the appropriate weighting matrices.
Ravi Bhushan, Kalyan Chatterjee, Ravi Shankar   +2 more
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Localized LQR control with actuator regularization

2016 American Control Conference (ACC), 2016
In previous work, we posed and solved the localized linear quadratic regulator (LLQR) problem - a LLQR controller is one that limits the propagation of dynamics to user-specified subsets of the global system. The advantages of taking this approach are tangible, as we show that this allows the controller to be synthesized and implemented in a scalable ...
Wang, Yuh-Shyang, Matni, Nikolai, Doyle, John C.   +2 more
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LQR controller for car-like robot

2016 35th Chinese Control Conference (CCC), 2016
This work studies the trajectory tracking for a car-like robot. Based on the kinematic equations of the mobile robot, an tracking error model is obtained. And then, this nonlinear model is linearized around origin. Based on local linearized model, an optimal controller is designed for the trajectory tracking problem by using optimal linear quadratic ...
Fengda Lin, Zijian Lin, Xiaohong Qiu
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Test flight of LQR missile guidance

Astrodynamics Conference, 1992
On June 26, 1991, a Boeing Defense & Space Group (BD&SG) built prototype of the U.S. Navy's Advanced Interdiction Weapon System (AIWS) successfully completed its second flight at a test facility in Utah. To simulate a low-altitude launch, the unpowered missile was accelerated to Mach 0.8 on a rocket powered sled.
E. CRAMER, T. LEE
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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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