A Non-Linear Offset-Free Model Predictive Control Design Approach
ActuatorsThis paper presents a non-linear model predictive control approach for offset-free tracking and the rejection of piece-wise constant disturbances.
Haoran Zhang, Emmanuel Prempain
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Offset-Free Strategy by Double-Layered Linear Model Predictive Control [PDF]
Journal of Applied Mathematics, 2012 In the real applications, the model predictive control (MPC) technology is separated into two layers, that is, a layer of conventional dynamic controller, based on which is an added layer of steady-state target calculation.
Tao Zou
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Offset-free IMC with generalized disturbance models
Integral action is an essential component for offset-free response inmany feedback control systems. Standard internal model control designrules ensure an offset-free response for open-loop stable plants.
Heath, William, Pannocchia, Gabriele
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Robust offset-free nonlinear model predictive control for systems learned by neural nonlinear autoregressive exogenous models [PDF]
, 2023 This paper presents a robust model predictive control (MPC) scheme that provides offset-free setpoint tracking for systems described by neural nonlinear autoregressive exogenous (NNARX) models.
Xie J. +3 more
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Offset–free data–driven predictive control
, 2023 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.
Verheijen, P.C.N., Lazar, M.
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Offset free data driven control: application to a process control trainer [PDF]
, 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 trajectories stored in a process historian
Salvador, José R. +3 more
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Linear Offset-Free Model Predictive Control in the Dynamic PLS Framework
Information, 2018 This work addresses the model predictive control (MPC) of the offset-free tracking problem in the dynamic partial least square (DyPLS) framework. Firstly, state space MPC based on the DyPLS is proposed.
Ligang Hou, Ze Wu, Xin Jin, Yue Wang
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A 2 MS/s Full Bandwidth Hall System with Low Offset Enabled by Randomized Spinning
Sensors, 2022 In this paper, a Hall plate readout with a randomized four-phase spinning-current scheme is proposed. The goal is to remove the maximum number of offset components, including the offset associated with spike demodulation.
Robbe Riem, Johan Raman, Pieter Rombouts
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Offset-Free Output Feedback Predictive Control for Longitudinal Beam Dynamics in Heavy Ion Synchrotrons [PDF]
, 2014 —Control of the longitudinal beam dynamics in heavy ion synchrotrons is a challenging task due primarily to the very fast time constants present in the system. Recently, the authors developed a model predictive controller for this system and demonstrated
Timm Faulwasser +5 more
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Offset-free nonlinear Model Predictive Control with state-space process models
Archives of Control Sciences, 2017 Offset-free model predictive control (MPC) algorithms for nonlinear state-space process models, with modeling errors and under asymptotically constant external disturbances, is the subject of the paper. The main result of the paper is the presentation of
Tatjewski Piotr
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