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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Efficient numerical methods for nonlinear MPC and moving horizon estimation
This overview paper reviews numerical methods for solution of optimal control problems in
real-time, as they arise in nonlinear model predictive control (NMPC) as well as in moving …
real-time, as they arise in nonlinear model predictive control (NMPC) as well as in moving …
A real-time iteration scheme for nonlinear optimization in optimal feedback control
An efficient Newton-type scheme for the approximate on-line solution of optimization
problems as they occur in optimal feedback control is presented. The scheme allows a fast …
problems as they occur in optimal feedback control is presented. The scheme allows a fast …
Fast direct multiple shooting algorithms for optimal robot control
Fast Direct Multiple Shooting Algorithms for Optimal Robot Control Page 1 Fast Direct Multiple
Shooting Algorithms for Optimal Robot Control M. Diehl1, HG Bock1, H. Diedam1, and P.-B …
Shooting Algorithms for Optimal Robot Control M. Diehl1, HG Bock1, H. Diedam1, and P.-B …
Retrospective on optimization
In this paper, we provide a general classification of mathematical optimization problems,
followed by a matrix of applications that shows the areas in which these problems have …
followed by a matrix of applications that shows the areas in which these problems have …
[PDF][PDF] An introduction to nonlinear model predictive control
While linear model predictive control is popular since the 70s of the past century, the 90s
have witnessed a steadily increasing attention from control theoretists as well as control …
have witnessed a steadily increasing attention from control theoretists as well as control …
[PDF][PDF] Nonlinear model predictive control: From theory to application
Abstract─ While linear model predictive control is popular since the 70s of the past century,
only since the 90s there is a steadily increasing interest from control theoreticians as well as …
only since the 90s there is a steadily increasing interest from control theoreticians as well as …
Modeling and optimization with Optimica and JModelica. org—Languages and tools for solving large-scale dynamic optimization problems
The Modelica language, targeted at modeling of complex physical systems, has gained
increased attention during the last decade. Modelica is about to establish itself as a de facto …
increased attention during the last decade. Modelica is about to establish itself as a de facto …
Nonlinear modeling, estimation and predictive control in APMonitor
This paper describes nonlinear methods in model building, dynamic data reconciliation, and
dynamic optimization that are inspired by researchers and motivated by industrial …
dynamic optimization that are inspired by researchers and motivated by industrial …