Results 271 to 280 of about 8,027,948 (326)

Sliding-Window-Based Real-Time Model Order Reduction for Stability Prediction in Smart Grid

IEEE Transactions on Power Systems, 2019
In this paper, a new real-time model order reduction technique for stability prediction in the smart grid is proposed. The proposed method uses an online proper orthogonal decomposition algorithm.
Abdolah Shamisa, Babak Majidi, J. Patra
semanticscholar   +1 more source

Model Order Reduction using fractional order systems

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE), 2016
In this work, a Model Order Reduction (MOR) technique is proposed to reduce the number of parameters required to describe a high dimensional integer system. Motivated by the fact a fractional order model is able to describe a large amount of system dynamics, the order reduction is achieved by expressing a given system as a product of fixed unknown ...
Mohamed Taha, Dia Abualnadi, Omar Hasan
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Interpolatory Model Order Reduction Method for Second Order Systems

Asian Journal of Control, 2017
AbstractIn this paper, we propose a structure‐preserving model reduction method for second‐order systems based onH2optimal interpolation. In the iterative process of the proposed method, an algorithm is presented for selecting interpolation points in order to control the dimension of the reduced system.
Zhi‐Yong Qiu, Yao‐Lin Jiang, Jia‐Wei Yuan   +2 more
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Inverse Compensator for A Simplified Discrete Preisach Model Using Model-Order Reduction Approach

IEEE transactions on industrial electronics (1982. Print), 2019
The classical Preisach model, which is built by the superposition of a great number of relay operators, is one of the most popular models to represent the hysteretic behaviors in various applications, such as the smart materials-based actuators. However,
Zhi Li, J. Shan, U. Gabbert
semanticscholar   +1 more source

Model Order Reduction by Using the Balanced Truncation and Factor Division Methods

Journal of the Institution of Electronics and Telecommunication Engineers, 2018
The aim of this paper is to construct a new model order reduction method for linear dynamic systems. In this technique, the denominator polynomial of the reduced order model (ROM) is obtained by the balanced truncation method and the numerator polynomial
Arvind Kumar Prajapati, R. Prasad
semanticscholar   +1 more source

TLM Model Order Reduction

2004
The Finite-Difference Time-Domain (FDTD) method, Finite-Integration Technique (FIT) and the Transmission Line Matrix (TLM) method provide for discrete approximations of electromagnetic boundary value problems cast in state-space forms. The dimension of the generated state-space models is usually very large.
Dzianis Lukashevich, Peter Russer, Andreas Cangellaris   +2 more
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Model Order Reduction of Wind Farms: Linear Approach

IEEE Transactions on Sustainable Energy, 2019
This paper presents three types of linear model order reduction (MOR) technique, namely singular value decomposition (SVD) based, Krylov-based, and modal truncation based type applied to large-scale wind farm models.
H. Ali, L. Kunjumuhammed, B. Pal, A. Adamczyk, Konstantin Vershinin   +4 more
semanticscholar   +1 more source

Model Order Reduction of Electromagnetic Particle-in-Cell Kinetic Plasma Simulations via Proper Orthogonal Decomposition

IEEE Transactions on Plasma Science, 2019
The proper orthogonal decomposition technique is applied to a finite-element time-domain particle-in-cell (PIC) algorithm for the simulation of kinetic plasmas, resulting in a reduced-order system. The reduced model is tested with representative examples
J. L. Nicolini, Dong-Yeop Na, F. Teixeira   +2 more
semanticscholar   +1 more source

Introduction to Model Order Reduction

2008
In this first section we present a high level discussion on computational science, and the need for compact models of phenomena observed in nature and industry. We argue that much more complex problems can be addressed by making use of current computing technology and advanced algorithms, but that there is a need for model order reduction in order to ...
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Advanced Topics in Model Order Reduction

2015
This chapter contains three advanced topics in model order reduction (MOR): nonlinear MOR, MOR for multi-terminals (or multi-ports) and finally an application in deriving a nonlinear macromodel covering phase shift when coupling oscillators. The sections are offered in a preferred order for reading, but can be read independently.
Harutyunyan, Davit, Ionutiu, Roxana, ter Maten, E. Jan W., Rommes, Joost, Schilders, Wilhelmus H. A., Striebel, Michael   +5 more
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