Results 231 to 240 of about 9,811,178 (296)

Editorial

open access: yes, 2015
2015, Offset Team
core  

Publication Team 2015

open access: yes, 2015
Team 2015, Offset
core  

Publication Team 2013

open access: yes, 2013
Team, Offset
core  

Offset–free data–driven predictive control

open access: yes2022 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   +3 more sources

Linear offset-free Model Predictive Control

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

Offset free model predictive control

2007 46th IEEE Conference on Decision and Control, 2007
This work addresses the problem of offset-free model predictive control (MPC) when tracking a constant reference. It builds on the work in (G. Pannocchia, 2003), (G. Pannocchia, et al., 2002) and summarizes in a compact and intuitive manner the conditions that need to be satisfied to obtain offset-free MPC by using the arguments of the internal model ...
Francesco Borrelli, Manfred Morari
openaire   +2 more sources

A Conservative Memristive System with Amplitude Control and Offset Boosting

International Journal of Bifurcation and Chaos, 2022
Based on a variable-boostable chaotic system, a conservative chaotic system with controllable amplitude and offset is proposed. The system exhibits rich symmetrical dynamics under different parameters and initial conditions. More interestingly, a parameter of memristor poses a partial amplitude control to a system variable.
Xin Zhang 0068   +4 more
openaire   +2 more sources

Data Driven Control: An Offset Free Approach

2019 18th European Control Conference (ECC), 2019
This work presents a data driven control strategy able to track a set point without steady state error. The control sequence is computed as an affine combination of past control signals, which belong to a set of past closed loop trajectories stored in a process historian database. This affine combination is computed so that the variance of the tracking
Jose R. Salvador   +4 more
openaire   +2 more sources

Nonlinear offset-free model predictive control

Automatica, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Manfred Morari, Urban Maeder
openaire   +3 more sources

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