All you need to know about model predictive control for buildings

J Drgoňa, J Arroyo, IC Figueroa, D Blum… - Annual Reviews in …, 2020 - Elsevier
It has been proven that advanced building control, like model predictive control (MPC), can
notably reduce the energy use and mitigate greenhouse gas emissions. However, despite …

Model predictive control: Recent developments and future promise

DQ Mayne - Automatica, 2014 - Elsevier
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Automated optogenetic feedback control for precise and robust regulation of gene expression and cell growth

A Milias-Argeitis, M Rullan, SK Aoki… - Nature …, 2016 - nature.com
Dynamic control of gene expression can have far-reaching implications for biotechnological
applications and biological discovery. Thanks to the advantages of light, optogenetics has …

[HTML][HTML] Surviving disturbances: A predictive control framework with guaranteed safety

Y Yan, XF Wang, BJ Marshall, C Liu, J Yang, WH Chen - Automatica, 2023 - Elsevier
Rejecting all disturbances is an extravagant hope in safety-critical control systems, hence
surviving them where possible is a sensible objective a controller can deliver. In order to …

Direct voltage control of DC–DC boost converters using enumeration-based model predictive control

P Karamanakos, T Geyer… - IEEE transactions on power …, 2013 - ieeexplore.ieee.org
This paper presents a model predictive control (MPC) approach for dc-dc boost converters.
A discrete-time switched nonlinear (hybrid) model of the converter is derived, which captures …

Linear offset-free model predictive control

U Maeder, F Borrelli, M Morari - Automatica, 2009 - Elsevier
This work addresses the problem of offset-free Model Predictive Control (MPC) when
tracking an asymptotically constant reference. In the first part, compact and intuitive …

MPC: Current practice and challenges

ML Darby, M Nikolaou - Control Engineering Practice, 2012 - Elsevier
Linear Model Predictive Control (MPC) continues to be the technology of choice for
constrained, multivariable control applications in the process industry. Successful …

Design of a prediction-accuracy-enhanced continuous-time MPC for disturbed systems via a disturbance observer

J Yang, WX Zheng, S Li, B Wu… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
This paper addresses the prediction accuracy enhancement problem in the context of
continuous-time model predictive control (MPC) by using a disturbance observer. The …

Disturbance modeling for offset-free linear model predictive control

KR Muske, TA Badgwell - Journal of Process Control, 2002 - Elsevier
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 …

A real-time algorithm for moving horizon state and parameter estimation

P Kühl, M Diehl, T Kraus, JP Schlöder… - Computers & chemical …, 2011 - Elsevier
A moving horizon estimation (MHE) approach to simultaneously estimate states and
parameters is revisited. Two different noise models are considered, one with measurement …