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. A brief formulation of the MPC formulation used is first given, followed by a brief remainder of...
(2009). Linear offset-free model predictive control.Automatica,45(10), 2214-2222. abstract 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 conditions for offset-free MPC ...
Model predictive control algorithms achieve offset-free control objectives by adding integrating disturbances to the process model. The purpose of these additional disturbances is to lump the plant-model mismatch and/or unmodeled disturbances. Its effectiveness has been proven for particular square cases ...
This paper proposes a novel economic Model Predictive Control algorithm aiming at achieving optimal steady-state performance despite the presence of plant-model mismatch or unmeasured nonzero mean disturbances. According to the offset-free formulation, the system’s state is augmented with disturbances ...
This paper presents the schemes of nonlinear offset-free model predictive control (MPC) for reference tracking of ship dynamic positioning (DP) systems, in the presence of slow-varying stochastic disturbances and input constraints. Two offset-free MPC strategies for nonlinear DP systems are proposed....
Offset-free model predictive control of a vapor compression cycle This work describes the application of an offset-free model predictive controller (OF-MPC) to a vapor compression cycle (VCC). To this end, first a linear ... Matt,Wallace,Buddhadeva,... - 《Journal of Process Control》 被...
Predictive control with constraints of a multi-pool irrigation canal prototype Latin American Applied Research (2007) Borrelli, F., & Morari, M. (2007). Offset free model predictive control. In Proceedings of the 46th IEEE conference on...View more references ...
In the linear model predictive control (MPC) fram... KR Muske,TA Badgwell - 《Journal of Process Control》 被引量: 540发表: 2002年 Linear offset-free Model Predictive Control An offset-free controller is one that drives controlled outputs to their desired targets at steady state. In the ...
The requirement for continual improvement of idle speed control (ISC) performance is increasing due to the stringent regulation on emission and fuel economy these days. In this regard, a low-complexity offset-free explicit model predictive control with constraint horizon is designed to regulate the ...
Model predictive control (MPC) algorithms achieve offset-free control by augmenting the nominal system model with a disturbance model. The disturbance vector is used to predict the mismatch between the measured and predicted output vectors. In this paper, we consider an offset-free MPC framework tha...