Results 21 to 30 of about 16,024 (227)
Localized LQR optimal control [PDF]
53rd IEEE Conference on Decision and Control, 2014 Extended version for 2014 CDC ...
Wang, Yuh-Shyang +2 more
openaire +3 more sources
Research on wheel-legged robot based on LQR and ADRC
Scientific Reports, 2023 The traditional two-wheeled self-balancing robot can travel quickly in a flat road environment, and it is easy to destabilize and capsize when passing through a bumpy road.
Xujiong Feng +4 more
semanticscholar +1 more source
Machines, 2023 In the process of trajectory tracking using the linear quadratic regulator (LQR) for driverless wheeled tractors, a weighting matrix optimization method based on an improved quantum genetic algorithm (IQGA) is proposed to solve the problem of weight ...
Xinwei Fan +4 more
semanticscholar +1 more source
Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2023 Modern controller design is increasingly based on data-driven control methods. PID controllers are still used primarily in the industry, because they are Linear Quadratic Regulator (LQR) . The LQR provides an efficient way to tune the parameters of a PID
M. S. Aslam, Hazrat Bilal, M. Hayajneh
semanticscholar +1 more source
Aerospace, 2022 Parrot Mambo mini-drone is a readily available commercial quadrotor platform to understand and analyze the behavior of a quadrotor both in indoor and outdoor applications.
Mohamed Okasha, J. Kralev, Maidul Islam
semanticscholar +1 more source
Automatika, 2021 A quadcopter control system is a fundamentally difficult and challenging problem because its dynamics modelling is highly nonlinear, especially after accounting for the complicated aerodynamic effects.
Mohamad Norherman Shauqee +2 more
doaj +1 more source
Novel Results on Output-Feedback LQR Design
IEEE Transactions on Automatic Control, 2023 This article provides novel developments in output-feedback stabilization for linear time-invariant systems within the linear quadratic regulator (LQR) framework.
Adrián Ilka, Nikolce Murgovski
semanticscholar +1 more source
On the Regret Analysis of Online LQR Control with Predictions [PDF]
American Control Conference, 2021 In this paper, we study the dynamic regret of online linear quadratic regulator (LQR) control with time-varying cost functions and disturbances. We consider the case where a finite look-ahead window of cost functions and disturbances are available at ...
Runyu Zhang, Yingying Li, Na Li
semanticscholar +1 more source
The Power of Linear Controllers in LQR Control
2022 IEEE 61st Conference on Decision and Control (CDC), 2022 The Linear Quadratic Regulator (LQR) framework considers the problem of regulating a linear dynamical system perturbed by environmental noise. We compute the policy regret between three distinct control policies: i) the optimal online policy, whose linear structure is given by the Ricatti equations; ii) the optimal offline linear policy, which is the ...
Goel, Gautam, Hassibi, Babak
openaire +3 more sources
Diseño e implementación de controlador LQG en sistema Ball & Beam
Visión Electrónica, 2021 El sistema Ball & Beam es uno de los casos de estudio más completos dentro la ingeniería de control, debido a que es un sistema no lineal y naturalmente inestable. En el presente artículo se propone realizar un controlador optimo LQG para el sistema Ball
Daniel Isaac Zabala-Benavides +1 more
doaj +1 more source