Disturbance models for offset-free model-predictive control. AIChE Journal, 49(2):426 - 437, 2003.G. Pannocchia and J. B. Rawlings, "Disturbance models for offset-free model-predictive control," AIChE jour...
关键词: control system synthesis linear systems predictive control tracking constrained linear systems dynamic predictive controller linear time-invariant controller model predictive control offset-free control offset-free tracking 会议名称: 2008 IEEE International Symposium on Industrial Electronics ...
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 control are introduced by using the arguments of the internal model principle. In the second part...
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 ...
Offset-freeRecedingHorizonControlofConstrainedLinearSystemsGabrielePannocchia1∗EricC.Kerrigan21.DepartmentofChemicalEngineering,Univers..
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 ...
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...
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....
In this study, a linear model predictive control (MPC) approach with optimal filters is proposed for handling unmeasured disturbances with arbitrary statistics. Two types of optimal filters are introduced into the framework of MPC to relax the assumption of integrated white noise model in existing ...
Irrigation or drainage canals can be controlled by model predictive control (MPC). Applying MPC with an internal model in the presence of unknown disturbances in some cases can lead to steady state offset. Therefore an additional component should be implemented along with the MPC. A new method ...