Journal of Process ControlK. Muske, T. Badgwell, Disturbance Modeling for Offsetfree Linear Model Predictive Control, Journal of Process Control 12 (2002) 617-632.K. R. Muske and T. A. Badgwell. Disturbance modeling for offset-free linear model predictive control. Journal of Process Control,...
(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 ...
controller.Anexampleofthecontrolofacontinuousstirredtankreactorispresented. TopicalHeading:Processsystemengineering KeyWords:Modelpredictivecontrol,constraints,offset-freecontrol,tracking,robustcontrol. 2 Introduction Thecontrolofsystemsinthepresenceofconstraintsisanimportanttaskinmanyapplicationfieldsbecausecon- strain...
21. Using scalp EEG data from patients with epilepsy, this paper finds mostly linear dynamics well within and outside of seizures, and mostly nonlinear dynamics (although varying across patients) in the periods around seizure onsets and offsets. While limited in their scope, these works beg for...
• Model Predictive Control (MPC) To control the dynamic model of systems, MPC is a good choice as it considers future predictions of the system state while optimizing the current state. The future prediction of MPC is performed by optimizing the system over a finite time horizon and applying...
This research presents the best power management of flexible-renewable integrated energy systems (FRIESs) with smart distribution networks (SDNs) by taking nonlinear load harmonic compensation into account. A deterministic model that optimizes for three
Even for the setting of TTDN2 that feeds less full- order data U , the efficiency is not as good as that for the P2 setting since the time saved in generating full-order solutions is offset by the additional training time. By this comparison, we see another disadvantage of the proposed ...
Moreover, offset-free control can be achieved by means of a simple procedure. The paper also presents a method for the synthesis of the controller which allows us to fulfil specifications for tracking as well as for disturbance rejection. In order to demonstrate the applicability of the proposed...
Model-based predictive control (MPC) [63] refers to a class of sophisticated control approaches that use a process model to predict the future behavior of the controlled system. Dynamic Matrix Control (DMC) [64] and Generalized Predictive Control (GPC) [65] are control algorithms in this ...
Local Illumination Compensation (LIC) is based on a linear model for illumination changes, using a scaling factor a and an offset b. It is enabled or disabled adaptively for each inter-mode coded coding unit (CU). When applying LIC for a CU, a least square error method is employed to de...