Results 1 to 10 of about 49,802 (245)

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 ...
Shirani Faradonbeh, Mohamad Kazem   +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 ...
Scokaert, Pierre O. M.   +1 more
openaire   +2 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.
Tsiamis, Anastasios   +4 more
openaire   +2 more sources

Multiscale differential Riccati equations for linear quadratic regulator problems [PDF]

open access: yes, 2018
We consider approximations to the solutions of differential Riccati equations in the context of linear quadratic regulator problems, where the state equation is governed by a multiscale operator.
MÃ¥lqvist, Axel   +2 more
core   +2 more sources

Time-changed linear quadratic regulators [PDF]

open access: yes2013 European Control Conference (ECC), 2013
Many control methods implicitly depend on the assumption that time is accurately known. For example, the finite-horizon linear quadratic regulator is a linear policy with time-varying gains. Such policies may be infeasible for controllers without accurate clocks, such as the motor systems in humans and other animals, since gains would be applied at ...
Andrew Lamperski, Noah J. Cowan
openaire   +1 more source

Robust and Resilient State Dependent Control of Discrete-Time Nonlinear Systems with General Performance Criteria [PDF]

open access: yes, 2011
A novel state dependent control approach for discrete-time nonlinear systems with general performance criteria is presented. This controller is robust for unstructured model uncertainties, resilient against bounded feedback control gain perturbations in ...
Wang, Xin, Yaz, Edwin E, Yaz, Yvonne I.
core   +2 more sources

Store-and-forward based methods for the signal control problem in large-scale congested urban road networks [PDF]

open access: yes, 2009
The problem of designing network-wide traffic signal control strategies for large-scale congested urban road networks is considered. One known and two novel methodologies, all based on the store-and-forward modeling paradigm, are presented and compared ...
Abu-Lebdeh   +19 more
core   +1 more source

Linear quadratic regulator with decentralized event-triggering [PDF]

open access: yesIECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, 2016
Event-triggered control is a control method that the measured signal is sent to the controller only when a certain condition on the measured signal is satisfied. In this paper, we propose a decentralized event-triggered linear quadratic regulator (LQR). First, a suboptimal solution to the decentralized event-triggered LQR problem is derived.
Nakajima, Kyohei   +2 more
openaire   +2 more sources

An extended linear quadratic regulator and its application for control of power system dynamics [PDF]

open access: yes, 2016
This paper presents a generalized solution to the problem of optimal control of systems having an extra set of exogenous inputs besides control inputs. The solution is derived in the framework of linear quadratic control and it is termedextended linear ...
Pal, Bikash C., Singh, Abhinav K.
core   +1 more source

On the Approximation of Constrained Linear Quadratic Regulator Problems and their Application to Model Predictive Control - Supplementary Notes

open access: yes, 2018
By parametrizing input and state trajectories with basis functions different approximations to the constrained linear quadratic regulator problem are obtained.
D'Andrea, Raffaello, Muehlebach, Michael
core   +1 more source

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