All you need to know about model predictive control for buildings
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 …
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
Model predictive control: Recent developments and future promise - ScienceDirect Skip to main
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Automated optogenetic feedback control for precise and robust regulation of gene expression and cell growth
Dynamic control of gene expression can have far-reaching implications for biotechnological
applications and biological discovery. Thanks to the advantages of light, optogenetics has …
applications and biological discovery. Thanks to the advantages of light, optogenetics has …
[HTML][HTML] Surviving disturbances: A predictive control framework with guaranteed safety
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 …
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
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 …
A discrete-time switched nonlinear (hybrid) model of the converter is derived, which captures …
Linear offset-free model predictive control
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 …
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 …
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
This paper addresses the prediction accuracy enhancement problem in the context of
continuous-time model predictive control (MPC) by using a disturbance observer. The …
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 …
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
A moving horizon estimation (MHE) approach to simultaneously estimate states and
parameters is revisited. Two different noise models are considered, one with measurement …
parameters is revisited. Two different noise models are considered, one with measurement …