Results 11 to 20 of about 25,040,689 (239)
Gaussian process model based predictive control [PDF]
, 2004 Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of non-linear dynamic systems. The Gaussian processes can highlight areas of the input space where prediction quality is poor, due to the lack ...
Rasmussen, C.E. +3 more
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Data-driven adaptive model-based predictive control with application in wastewater systems [PDF]
, 2011 This study is concerned with the development of a new data-driven adaptive model-based predictive controller (MBPC) with input constraints. The proposed methods employ subspace identification technique and a singular value decomposition (SVD)-based ...
R. Katebi +7 more
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Model-Free Predictive Control for Reluctance Synchronous Motor Drives [PDF]
, 2022 Study of the Model Free Predictive schemes act to solve the problem of the stagnation. Optimization of the forced anti-stagnation process. Description and implementation of an improved MF scheme, characterized by an indirect reconstruction of the current
Carlet, Paolo Gherardo
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Model-Free Predictive Current Control of a Voltage Source Inverter
IEEE Access, 2020 Conventional model predictive control (MPC) of power converter has been widely applied to power inverters achieving high performance, fast dynamic response, and accurate transient control of power converter. However, the MPC strategy is highly reliant on
Jose Rodriguez +5 more
doaj +1 more source
Model-Free Predictive Control Using Polynomial Regressors
SICE Journal of Control, Measurement, and System Integration, 2017 Model-free predictive control directly computes the control input from massive input/output datasets and does not use a mathematical model. In contrast, conventional model predictive control relies on mathematical models.
Hongran Li, Shigeru Yamamoto
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Cascaded speed and current model of PMSM with ultra‐local model‐free predictive control
IET Electric Power Applications, 2021 During the operation of a permanent magnet synchronous motor (PMSM), the control system is impacted by changes in the internal parameters and by external disturbances, resulting in reduced accuracy.
Lingliang Xu, Guiming Chen, Qiaoyang Li
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Model predictive control design for industrial applications [PDF]
, 2006 In many industrial processes, the regulatory level based on PID controllers is able to maintain the process variables about the given set point values. However, economic reasons and operational constraints make it necessary to optimise plant operations ...
Balbis, L., Ordys, A.W., Kateb, R.
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Offset-Free Model Predictive Control for Active Magnetic Bearing Systems
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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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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DSVM-Based Model-Free Predictive Current Control of an Induction Motor
Energies, 2023 Classical model-free predictive current control (MFPCC) is a robust control technique for a two-level inverter-fed induction-motor drive, with advantages that consist of a simple concept, rapid response, simple implementation, and excellent performance ...
Md Asif Hussain +5 more
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