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	Iterative Selection of GOB Poles in the Context of System Modeling 期刊论文 OAI收割 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 102-111 作者: Anis Khouaja \| 收藏 \| 浏览/下载：19/0 \| 提交时间：2021/02/22 Generalized orthonormal bases (GOB) Laguerre functions Kautz functions pole estimation modelling identification.
	Development and Modeling of Remotely Operated Scaled Multi-wheeled Combat Vehicle Using System Identification 期刊论文 OAI收割 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 261-273 作者: A. N. Ouda; Amr Mohamed; Moustafa EI-Gindy; Haoxiang Lang; Jing Ren \| 收藏 \| 浏览/下载：27/0 \| 提交时间：2021/02/22 Autonomous multi-wheeled vehicle system identification all wheel steering fuzzy logic (FL) parametric identification.
	Research on the identification for a nonlinear system (EI CONFERENCE) 会议论文 OAI收割 International Conference on Optical, Electronic Materials and Applications 2011, OEMA 2011, March 4, 2011 - March 6, 2011, Chongqing, China 作者: Liu J.; Jia P.; Liu J.; Liu J. 收藏 \| 浏览/下载：39/0 \| 提交时间：2013/03/25 The characteristic of the drift error of inertial platform is a high-order nonlinear dynamic system using the neural networks' abilities of universal approximation of differentiable trajectory and capturing system dynamic information this paper presents the drift error identifying project of inertial platform based on Elman networks structure. First the drift error model of inertial platform is established after selecting the input and output for network momentum and alterable speed algorithm is used to speed up the network convergence. On the basis of the algorithm the extended nonlinear node function in the hidden network does not only improve the learning speed of network but also satisfies the need of accuracy on system identification. Through the drift error data measured on inertial platform the training result shows that the scheme achieves satisfied identification results. (2011) Trans Tech Publications.
	Electro-optical imaging system identification using pseudo-random binary pattern (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China Le Y.; Jian W.; Jianzhong Z.; Qiang S.; Jianzhuo L. 收藏 \| 浏览/下载：37/0 \| 提交时间：2013/03/25 A method using pseudo-random binary pattern is developed for electro-optical imaging system identification. The imaging system is taken as a stable linear time-invariant and causal filter and its transfer function is measured through the pseudo-random binary sequence impulse responses identification. A digital mirror device (DMD) light projector is developed as the target generator and wavelet thresholding is used to denoise the captured image. Pre-filtering spectral estimation algorithm with adaptive parameter selection is also proposed for the identification process overcoming the challenge brought by the size limit derived from the optical isoplantic region. Simulations and experiments are presented to show the effectiveness of the proposed method.0-64. 2010 IEEE.
	A fast and efficient multiple step algorithm of iris image quality assessment (EI CONFERENCE) 会议论文 OAI收割 2010 2nd International Conference on Future Computer and Communication, ICFCC 2010, May 21, 2010 - May 24, 2010, Wuhan, China Shi C.; Jin L. 收藏 \| 浏览/下载：21/0 \| 提交时间：2013/03/25 Iris recognition is one of the most reliable methods of biometrics personal identification. Poor quality iris image will be rejected by recognition system which will result in the failure of recognition. Therefore iris image quality assessment is very essential to the iris recognition system. In this paper a multiple step algorithm of iris image quality assessment is proposed to distinguish two kinds of poor quality images i.e. defocus and occlusion. Experimental results show that the proposed algorithm is fast and efficient for iris image quality assessment. 2010 IEEE.
	Parameter identification of airborne vibrated image based on high-speed CCD (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China Shi J.; Xue X.; Guo Y. 收藏 \| 浏览/下载：38/0 \| 提交时间：2013/03/25 In order to identify the vibration parameters of a vibrated image the principle and shortage of the traditional methods that based on image derivative and image transformation are analyzed and a new parameter identification method is proposed afterward. By placing a high-speed CCD aside the master CCD the vibration can be sampled accurately and more information can be obtained for parameter identification. The series frames that captured by high-speed CCD are processed by gray projection algorithm and the vibration extents between adjacent frames along x and y direction are obtained. By using simple triangle operations the vibration parameters can be identified and the computational complexity of which can be reduced greatly. The experiment shows that the parameter identification method based on high-speed CCD can identify the parameters of vibration with any form accurately. The precise of parameter identification for linear vibration is less than 2.95%. 2010 IEEE.
	Modeling of Flow System Dynamics 期刊论文 OAI收割 JOURNAL OF THERMAL SCIENCE, 2004, 卷号: 13, 期号: 1, 页码: 56,61 Andrzej Millerl; Krzysztof Badydal; Jaroslaw Dyjasl; Karol Miller2 收藏 \| 浏览/下载：18/0 \| 提交时间：2013/03/11 flow system modeling lumped parameter model frequency domain identification.