Search Results - "Fast recursive algorithm"

An Adaptive Data-Driven Iterative Feedforward Tuning Approach Based on Fast Recursive Algorithm: With Application to a Linear Motor by Fu, Xuewei, Yang, Xiaofeng, Zanchetta, Pericle, Tang, Mi, Liu, Yang, Chen, Zhenyu

“…The feedforward control can effectively improve the servo performance in applications with high requirements of velocity and acceleration. The iterative…”
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Two-stage extreme learning machine for regression by Lan, Yuan, Soh, Yeng Chai, Huang, Guang-Bin

“…Extreme learning machine (ELM) proposed by Huang et al. was developed for generalized single hidden layer feedforward networks (SLFNs) with a wide variety of…”
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A regularised fast recursive algorithm for fraction model identification of nonlinear dynamic systems by Zhang, Li, Li, Kang, Du, Dajun, Li, Yihuan, Fei, Minrui

“…The fraction model has been widely used to represent a range of engineering systems. To accurately identify the fraction model is however challenging, and this…”
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A fast nonlinear model identification method by Kang Li, Jian-Xun Peng, Irwin, G.W.

“…The identification of nonlinear dynamic systems using linear-in-the-parameters models is studied. A fast recursive algorithm (FRA) is proposed to select both…”
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Constructing Dixon Matrix for Sparse Polynomial Equations Based on Hybrid and Heuristics Scheme by Deng, Guoqiang, Qi, Niuniu, Tang, Min, Duan, Xuefeng

“…Solving polynomial equations inevitably faces many severe challenges, such as easily occupying storage space and demanding prohibitively expensive computation…”
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Improved nonlinear PCA for process monitoring using support vector data description by Liu, Xueqin, Li, Kang, McAfee, Marion, Irwin, George W.

“…► We study the monitoring of nonlinear processes based on neural networks. ► We incorporate principal curves and RBF networks and simplify nonlinear PCA. ► The…”
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Two-Stage Method for Diagonal Recurrent Neural Network Identification of a High-Power Continuous Microwave Heating System by Liu, Tong, Liang, Shan, Xiong, Qingyu, Wang, Kai

“…This paper proposes a diagonal recurrent neural network (DRNN) based identification scheme to handle the complexity and nonlinearity of high-power continuous…”
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High Gain Converter with Improved Radial Basis Function Network for Fuel Cell Integrated Electric Vehicles by Girirajan, Balasubramanian, Shekhar, Himanshu, Lai, Wen-Cheng, Jagannathan, Hariraj Kumar, Bidare Divakarachar, Parameshachari

“…In a recent trend, electric vehicles (EV) have been facing various power quality issues, so fuel cells (FC) are considered the best choice for integrating EV…”
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Fast algorithm for computing cosine number transform by Lima, J.B

“…A fast algorithm for the computation of a cosine-like number-theoretic transform is presented. The method, which corresponds to a finite field extension of a…”
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A fast multi-output RBF neural network construction method by Du, Dajun, Li, Kang, Fei, Minrui

“…This paper investigates the center selection of multi-output radial basis function (RBF) networks, and a multi-output fast recursive algorithm (MFRA) is…”
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On Fast Recursive Algorithms for V-BLAST with Optimal Ordered SIC Detection by Shang, Yue, Xia, Xiang-gen

“…A fast recursive algorithm for the vertical Bell Laboratories layered space-time (V-BLAST) with the optimal ordered successive interference cancellation (SIC)…”
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A Hybrid Learning Method for Constructing Compact Rule-Based Fuzzy Models by Wanqing Zhao, Qun Niu, Kang Li, Irwin, George W.

“…The Takagi-Sugeno-Kang-type rule-based fuzzy model has found many applications in different fields; a major challenge is, however, to build a compact model…”
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A fast model identification method for networked control system by Fei, Minrui, Du, Dajun, Li, Kang

“…Most control strategies for networked control system (NCS) assume that system model is known as ‘a priori’, which are however impractical in many industrial…”
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Control of Organic Rankine Cycle for waste heat recovery based on an optimized predictive model by Liu, Kailong, Li, Kang, Lin, Mingming, Zhang, Jianhua

“…The Organic Rankine Cycle (ORC) is a promising technique to recover low grade waste heat, and thus helps to improve the overall thermal efficiency of a process…”
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Application of nonlinear PCA for fault detection in polymer extrusion processes by Liu, Xueqin, Li, Kang, McAfee, Marion, Deng, Jing

“…This paper describes the application of an improved nonlinear principal component analysis (PCA) to the detection of faults in polymer extrusion processes…”
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Deep Learning Assisted Online Multi-Step Demand Forecasting of Fused Magnesia Smelting Processes by Li, Mingyu, Zhang, Jingwen, Chai, Tianyou

“…This paper proposes a multi-step ahead power demand model for fused magnesia smelting processes (FMSP) which combines a linear model and an unknown nonlinear…”
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Compact extreme learning machines for biological systems by Li, Kang, Deng, Jing, He, Hai-Bo, Li, Yurong, Du, Da-Jun

“…In biological system modelling using data-driven black-box methods, it is essential to effectively and efficiently produce a parsimonious model to represent…”
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A novel hybrid data-driven method for li-ion battery internal temperature estimation by Kailong Liu, Kang Li, Jing Deng

“…Accurate battery internal temperature estimation is a key for safe battery operation of electric vehicles. In this paper, a novel hybrid data-driven method…”
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A Fast DVM Algorithm for Wideband Time-Delay Multi-Beam Beamformers by Perera, Sirani M., Lingsch, Levi, Madanayake, Arjuna, Mandal, Soumyajit, Mastronardi, Nicola

“…This paper presents a sparse factorization for the delay Vandermonde matrix (DVM) along with fast, exact, radix-2, and recursive algorithms to compute the…”
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A Fast Recursive Algorithm for G-STBC by Zhu, Hufei, Chen, Wen, Li, Bin, Gao, Feifei

“…This paper proposes a fast recursive algorithm for Group-wise Space-Time Block Code (G-STBC), which takes full advantage of the Alamouti structure in the…”
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