Results 1 to 10 of about 116,177 (162)
Offset Free Tracking Predictive Control Based on Dynamic PLS Framework [PDF]
Information, 2017 This paper develops an offset free tracking model predictive control based on a dynamic partial least square (PLS) framework. First, state space model is used as the inner model of PLS to describe the dynamic system, where subspace identification method ...
Jin Xin, Wang Yue, Luo Lin
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Linear Offset-Free Model Predictive Control in the Dynamic PLS Framework [PDF]
Information, 2018 This work addresses the model predictive control (MPC) of the offset-free tracking problem in the dynamic partial least square (DyPLS) framework. Firstly, state space MPC based on the DyPLS is proposed.
Ligang Hou, Ze Wu, Xin Jin, Yue Wang
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Offset-Free Model Predictive Control for Active Magnetic Bearing Systems [PDF]
Actuators, 2018 This paper presents the study of linear Offset-Free Model Predictive Control (OF-MPC) for an Active Magnetic Bearing (AMB) application. The method exploits the advantages of classical MPC in terms of stability and control performance and, at the same ...
Angelo Bonfitto +3 more
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Offset-Free Strategy by Double-Layered Linear Model Predictive Control
Journal of Applied Mathematics, 2012 In the real applications, the model predictive control (MPC) technology is separated into two layers, that is, a layer of conventional dynamic controller, based on which is an added layer of steady-state target calculation.
Tao Zou
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Offset-free receding horizon control of constrained linear systems [PDF]
AICHE Journal, 2005 AbstractThe design of a dynamic state feedback receding horizon controller is addressed, which guarantees robust constraint satisfaction, robust stability and offset‐free control of constrained linear systems in the presence of time‐varying setpoints and unmeasured disturbances. This objective is obtained by first designing a dynamic linear offset‐free
Gabriele Pannocchia, Eric C Kerrigan
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Disturbance-Kalman state for linear offset free MPC [PDF]
Archives of Control Sciences, 2022 In model predictive control (MPC), methods of linear offset free MPC are well established such as the disturbance model, the observer method and the state disturbance observer method.
Truong Thanh Tuan +3 more
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Identification and Optimal Control for Surge and Swab Pressure Reduction While Performing Offshore Drilling Operations [PDF]
Modeling, Identification and Control, 2020 In this paper, an unscented Kalman filter coupled with a nonlinear model-predictive controller for a hydraulic wellbore model with multi-variable control and tracking is presented. In a wellbore, high drill string velocities in operational sequences such
Njål Tengesdal, Christian Holden
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IEEE Access, 2022 Impulsive control systems have shown strong potential to represent and address challenging problems, especially in the biomedical field. In recent research, these problems have been tackled with advances in linear impulsive control systems. However, many
Maria F. Villa-Tamayo +3 more
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MPC-Based Offset-Free Tracking Control for Intermittent Transonic Wind Tunnel
IEEE Access, 2020 This paper addresses the offset-free model predictive control (MPC) for the intermittent transonic wind tunnel (ITWT). The offset-free property holds by introducing the controller state equation which introduces an integral action, while the controller ...
Baocang Ding, Jun Wang, Xiaoming Tang
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Offset free data driven control: application to a process control trainer [PDF]
IET Control Theory & Applications, 2019 This work presents a data driven control strategy able to track a set point without steady‐state error. The control sequence is computed as an affine combination of past control signals, which belong to a set of trajectories stored in a process historian database.
Salvador, Jose Ramon +3 more
openaire +5 more sources