Results 11 to 20 of about 3,373,832 (294)

Structured Linear Quadratic Regulator Design

open access: yes2023 27th International Conference on System Theory, Control and Computing (ICSTCC), 2023
In this paper, we study linear quadratic regulator (LQR) design subject to linear equality constraints in the controller parameters. Necessary solvability conditions are provided, and a method for choosing the weighting matrices in the quadratic ...
Schaub, Philipp, Konigorski, Ulrich
core   +2 more sources

On adaptive Linear–Quadratic regulators [PDF]

open access: yesAutomatica, 2020
Performance of adaptive control policies is assessed through the regret with respect to the optimal regulator, which reflects the increase in the operating cost due to uncertainty about the dynamics parameters. However, available results in the literature do not provide a quantitative characterization of the effect of the unknown parameters on the ...
Mohamad Kazem Shirani Faradonbeh   +2 more
openaire   +2 more sources

Constrained linear quadratic regulation [PDF]

open access: yesIEEE Transactions on Automatic Control, 1998
Summary: This paper is a contribution to the theory of the infinite-horizon Linear Quadratic Regulator (LQR) problem subject to inequality constraints on the inputs and states, extending an approach first proposed by Sznaier and Damborg. A solution algorithm is presented, which requires solving a finite number of finite-dimensional positive definite ...
Pierre O. M. Scokaert, James B. Rawlings
openaire   +2 more sources

On the Sample Complexity of the Linear Quadratic Regulator [PDF]

open access: yesFoundations of Computational Mathematics, 2019
This paper addresses the optimal control problem known as the Linear Quadratic Regulator in the case when the dynamics are unknown. We propose a multi-stage procedure, called Coarse-ID control, that estimates a model from a few experimental trials, estimates the error in that model with respect to the truth, and then designs a controller using both the
Dean, Sarah   +4 more
openaire   +3 more sources

Risk-Constrained Linear-Quadratic Regulators [PDF]

open access: yes2020 59th IEEE Conference on Decision and Control (CDC), 2020
We propose a new risk-constrained reformulation of the standard Linear Quadratic Regulator (LQR) problem. Our framework is motivated by the fact that the classical (risk-neutral) LQR controller, although optimal in expectation, might be ineffective under relatively infrequent, yet statistically significant (risky) events.
Anastasios Tsiamis   +4 more
openaire   +3 more sources

Linear Quadratic Regulator and Fuzzy Control for Grid-Connected Photovoltaic Systems

open access: yesEnergies, 2022
This work presents a control scheme to control a grid-connected single-phase photovoltaic (PV) system. The considered system has four 250 W solar panels, a non-inverting buck-boost DC-DC converter, and a DC-AC inverter with an inductor-capacitor-inductor
Azamat Mukhatov   +2 more
doaj   +1 more source

A Hybrid Linear Quadratic Regulator Controller for Unmanned Free-Swimming Submersible

open access: yesApplied Sciences, 2021
An unmanned free-swimming submersible (UFSS) is designed to perform certain tasks in water without interposing humans. The vehicle’s control is achieved by integrating mathematical (analog) and non-mathematical (embedded) controllers.
Hassan Tariq   +4 more
doaj   +1 more source

Enhanced the Control Strategy of a Triple Link Robotic System (Robogymnast)

open access: yesIEEE Access, 2023
This research aims to optimise performance in a Fuzzy Linear Quadratic Regulator controller by implementing 2 types of algorithm to stabilise the triple-link ‘Robogymnast’ robotic system.
Bdereddin Abdul Samad   +2 more
doaj   +1 more source

Full-State Feedback Control Design for Shape Formation using Linear Quadratic Regulator

open access: yesIndonesian Journal of Computing, Engineering and Design, 2020
This study investigated the capability of a group of agents to form a desired shape formation by designing the feedback control using a linear quadratic regulator.
Muhamad Rausyan Fikri   +1 more
doaj   +1 more source

Trajectory Planning of a Semi-Trailer Train Based on Constrained Iterative LQR

open access: yesApplied Sciences, 2023
With the development of science and technology, self-driving technology is gradually being applied to automobile semi-trailer trains. Aiming at the problem that it is challenging to plan the traveling trajectory of an autonomous semi-trailer train, a ...
Wencong Wang   +3 more
doaj   +1 more source

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