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Model‐free predictive control for a class of asymmetric nonlinear systems
Asian Journal of Control, 2023AbstractA model‐free predictive control (MFPC) method is proposed for a kind of discrete nonlinear asymmetric systems (NASs) whose models are undefined. According to the dynamic characteristics of the asymmetric system, the compact format dynamic linearization (CFDL) technology and the improved projection algorithm are adopted to set up models for the ...
Baili Su, Ye Tian, Yunshuo Wang
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Model free predictive control of nonlinear system
2009 Chinese Control and Decision Conference, 2009A model free predictive control is persented. This method does not need modeling in the predictive control. The eigenvector of generally model is identified and predicted by multi-layer recursive method. The model free predictive control law has advantage as well as model free control.
Qiu-bin Luo, Zhi-gang Han, Hong Zhu
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Distributed Model-Free Adaptive Predictive Control for Urban Traffic Networks
IEEE Transactions on Control Systems Technology, 2022Data-driven control without using mathematical models is a promising research direction for urban traffic control due to the massive amounts of traffic data generated every day. This article proposes a novel distributed model-free adaptive predictive control (D-MFAPC) approach for multiregion urban traffic networks.
Dai Li, Bart De Schutter
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A model-free predictive controller with Laguerre polynomials
2004This paper presents a combined subspace system identification and model predictive-control algorithm with Laguerre orthonormal functions. The term commonly used for such an approach is called model-free predictive control. The main contribution of this paper is to investigate the effect of non-stationary disturbance on the stability and performance of ...
Barry, T., Wang, Liuping
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Design of a model‐free controller based on predictive functional control
Electronics and Communications in JapanAbstractIntelligent‐PID (i‐PID) control proposed by Fliess is a simple control algorithm. The controller is designed based on ultra‐local model, and consisted of PID type controller and derivatives of reference signal and controlled variables. Authors have considered discrete i‐PID controller and its properties, and one of the result was that PD ...
Yoichiro Ashida, Masaru Katayama
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Application of model‐free LQG subspace predictive control to TCP congestion control
International Journal of Adaptive Control and Signal Processing, 2007AbstractWe investigate the application of a model‐free linear quadratic Gaussian (LQG) subspace‐based predictive controller to Internet congestion control. Specifically, we consider a classically designed LQG linear congestion controller with a non‐standard performance index and determine whether a model‐free controller is a viable alternative in this ...
Chiera, B., White, L.
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Model-Free Predictive Current Control for Multilevel Voltage Source Inverters
IEEE Transactions on Industrial Electronics, 2021This article proposes a generalization of the model-free predictive current controller (MFPCC) for multilevel voltage source inverters (VSIs). MFPCC is an alternative to mitigate the parameter sensitivity faced by model-based PCC (MPCC), but it requires a constant update of the stored current variations (CVs) associated with each VSI state to provide a
Paul Gistain Ipoum-Ngome +5 more
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Model-Free Predictive Control and Its Relation to Parameter-Estimation-Based Predictive Control
2019 SICE International Symposium on Control Systems (SICE ISCS), 2019Model-free predictive control is a method of predictive control that utilizes the measured input/output data of a controlled system instead of using mathematical models. In general, the simplest way to obtain a mathematical model is to estimate its parameters by fixing its structure, referred to as parameter-estimation-based predictive control in this ...
Nicha Chaovalit, Shigeru Yamamoto
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Model-Free Predictive Control of Grid Connected Converters with No System Parameters
IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society, 2021This paper proposes a model-free predictive current phasor control for three-phase grid-connected voltage source converters. The control method regulates the grid current vector magnitude and phase with respect to the grid voltage vector in a stationary reference frame.
Alireza Jabbamejad +2 more
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Model-Free Predictive Control of Grid-Forming Inverters With $LCL$ Filters
IEEE Transactions on Power Electronics, 2022With the increasing penetration of distributed energy resources into islanded microgrids, a grid-forming inverter (GFI) has become the key element interfacing renewable energy sources. Usually, the GFI is employed with an output filter to minimize the harmonic content achieving high-quality output voltage regulation.
Rasool Heydari +6 more
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