Results 251 to 260 of about 116,340 (302)

Deficits in temporal pain inhibition are associated with greater pain and functional impairment in osteoarthritis. [PDF]

Pain
Alter BJ, Maurer M, O'Connell B, Sanchez AG, Kaynar AM, DiGioia AM, Huppert T, Wasan AD.   +7 more
europepmc   +1 more source

The timing of LIP remapping is consistent with a wave of activity and brings into question the relevance of the pre-saccadic remapped response. [PDF]

J Neurophysiol
Alkan Y, Morris A, Bisley JW.
europepmc   +1 more source

Acoustofluidic trapping of microparticles to axially centered wires in cylindrical microcapillaries.

Lab Chip
Trujillo RJ, Bui PH, Shreve AP, Campen MJ, Piyasena ME, Graves SW.   +5 more
europepmc   +1 more source

Disturbance models for offset‐free model‐predictive control

AIChE Journal, 2003
AbstractModel predictive control algorithms achieve offset‐free control objectives by adding integrating disturbances to the process model. The purpose of these additional disturbances is to lump the plant‐model mismatch and/or unmodeled disturbances. Its effectiveness has been proven for particular square cases only.
PANNOCCHIA, GABRIELE, RAWLINGS JB
openaire   +2 more sources

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Linear offset-free Model Predictive Control

Automatica, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Francesco Borrelli, Manfred Morari
exaly   +2 more sources

Controller Parametrization for Offset-free Control Using Set-Based Feasibility Methods

2019 American Control Conference (ACC), 2019
Achieving a new set point and maintaining it with a desired precision is a common control problem. In case the reference is not fixed, or a priori unknown disturbances are present, the problem is often referred to as offset-free control. We consider the problem of finding suitable controller parameters to obtain an offset-free control up to a certain ...
Petar Andonov, Anton Savchenko, Rolf Findeisen   +2 more
openaire   +3 more sources

Offset-free reference tracking with model predictive control

Automatica, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Manfred Morari
exaly   +2 more sources

Combined Design of Disturbance Model and Observer for Offset-Free Model Predictive Control

IEEE Transactions on Automatic Control, 2007
This note presents a method for the combined design of an integrating disturbance model and of the observer (for the augmented system) to be used in offset-free model predictive controllers. A dynamic observer is designed for the original (nonaugmented) system by solving an Hprop control problem aimed at minimizing the effect of unmeasured disturbances
PANNOCCHIA, GABRIELE, BEMPORAD A.
openaire   +3 more sources

Disturbance modeling for offset-free linear model predictive control

Journal of Process Control, 2002
Abstract An offset-free controller is one that drives controlled outputs to their desired targets at steady state. In the linear model predictive control (MPC) framework, offset-free control is usually achieved by adding step disturbances to the process model.
Kenneth R Muske, Thomas A Badgwell
exaly   +2 more sources

Offset–free data–driven predictive control

2022 IEEE 61st Conference on Decision and Control (CDC), 2022
This paper presents a tutorial overview of model predictive control (MPC), subspace predictive control (SPC) and data-enabled predictive control (DeePC), with emphasis on offset-free design. Based on recent results on offset-free SPC design and on the relation between SPC and DeePC, we show that when incremental inputs are used in the identification ...
Lazar, M., Verheijen, P.C.N.
openaire   +2 more sources