Acta Automatica Sinica

　 ACTA AUTOMATICA SINICA is an advanced academic periodical affiliated with CAA, the Chinese Association of Automation, and ISCAS, the Institute of Automation of the Chinese Academy of Sciences. Readers are assumed mainly as .......　　　　　　　More...


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	Latest issue 2012 Vol.38 (Number 1) Jan. 20, 2012
	Reviews
	Papers and Reports
	Brief Papers

Reviews

	1	WANG Qiang, LIU Yan and SHEN Yi
		A Survey on Extrinsic Self-calibration Algorithms for Cameras without Overlapping Field of Views
		Extrinsic self-calibration of cameras, i.e., to automatically determine the extrinsic parameters of the cameras (position and orientation), is regarded as an important preparatory requirement. However, if the cameras do not share overlapping field of view...
		2012 Vol. 38 (1): 1-11 [Abstract ] ( 57 ) [HTML 0KB] [PDF 481KB ]( 83 )

Papers and Reports

	12	YIN Zheng-Nan, , SU Jian-Bo, GAO Xiu-Xing and
		Systematic Design Method of Disturbance Observer Guaranteeing Closed-loop System's Robust Stability
		The sufficient condition on the robust stability against model uncertainties in the feedback system with disturbance observer (DOB) is studied. Weighting functions satisfying this condition are consequently selected such that robust stability to plant's p...
		2012 Vol. 38 (1): 12-22 [Abstract ] ( 39 ) [HTML 0KB] [PDF 798KB ]( 79 )

	23	CHEN Xin-Wei, LIU Jing-Tai, LIN Sen, SHI Tao, CHEN Kuo and WEI Qing
		An Actual Scene Geographic Model Printing Robot and Optimization Method
		This paper gets geographic information data of actual scene model by processing and analysis of the satellite remote sensing data. On this basis, the technology of actual scene geographic model printing robot is studied, including the mechanical and contr...
		2012 Vol. 38 (1): 23-30 [Abstract ] ( 33 ) [HTML 0KB] [PDF 672KB ]( 40 )

	31	PING Xu-Bin, DING Bao-Cang and HAN Chong-Zhao
		Dynamic Output Feedback Robust Model Predictive Control
		This paper addresses the synthesis approach of dynamic output feedback robust model predictive control for systems with both polytopic uncertainty and bounded disturbance. The system is quasi-linear parameter varing, i.e., the time-varing parameters of th...
		2012 Vol. 38 (1): 31-37 [Abstract ] ( 39 ) [HTML 0KB] [PDF 956KB ]( 57 )

	38	CHENG Yu-Hu, FENG Huan-Ting and WANG Xue-Song
		Expectation-maximization Policy Search with Parameter-based Exploration
		In order to reduce large variance of gradient estimation resulted from stochastic exploration strategy, a kind of expectation-maximization policy search reinforcement learning with parameter-based exploration is proposed. At first, a probability distribut...
		2012 Vol. 38 (1): 38-45 [Abstract ] ( 38 ) [HTML 0KB] [PDF 772KB ]( 54 )

	46	ZHANG Lin-Bo, , WANG Chun-Heng, XIAO Bai-Hua and SHAO Yun-Xue
		Image Representation Using Bag-of-phrases
		Bag-of-words representation, with which an image is represented as a histogram of the numbers of occurrences of particular visual words,has demonstrated impressive levels of performance in the past few years. However, the relative position information bet...
		2012 Vol. 38 (1): 46-54 [Abstract ] ( 37 ) [HTML 0KB] [PDF 453KB ]( 42 )

	55	YANG Zhen, LAI Ying-Xu, DUAN Li-Juan and LI Yu-Jian
		Short Text Sentiment Classification Based on Context Reconstruction
		Synonymy and polysemy present a challenge to effective natural language processing, especially in the situations of context absence and sparse feature in short texts, widened semantic gap between low-level text features representation and high-level inter...
		2012 Vol. 38 (1): 55-67 [Abstract ] ( 37 ) [HTML 0KB] [PDF 521KB ]( 28 )

	68	HAN Min and ZHENG Dan-Chen
		Shape Recognition Based on Fuzzy Shape Context
		In the process of shape matching based on shape context, each of the samples is directly classified into one bin in the histogram, which leads to the inaccurate feature representation and matching bias results. With fuzzy membership function introduced in...
		2012 Vol. 38 (1): 68-75 [Abstract ] ( 37 ) [HTML 0KB] [PDF 413KB ]( 36 )

	76	LIU Jian-Wei, LI Shuang-Cheng and LUO Xiong-Lin
		Classification Algorithm of Support Vector Machine via p-norm Regularization
		The L₂ penalty support vector machine (SVM) algorithm is one of the most widely used learning algorithms, meanwhile L₁ norm and L₀ norm penalty support vector machines have been devised, which achieve simultaneously featur...
		2012 Vol. 38 (1): 76-87 [Abstract ] ( 46 ) [HTML 0KB] [PDF 686KB ]( 40 )

	88	WANG Jun-Xiang, , NI Jiang-Qun and PAN Jin-Wei
		A High Performance Reversible Watermarking Scheme baselineskip Based on Histogram Shifting
		In recent years, histogram shifting based reversible watermarking has become the domain of extensive research due to its high stego-image quality. Most related schemes are required to transmit extra side information, e.g. peak and zero point pairs, and th...
		2012 Vol. 38 (1): 88-96 [Abstract ] ( 42 ) [HTML 0KB] [PDF 551KB ]( 28 )

	97	TAO Jian-Wen, and WANG Shi-Tong
		Locality-preserved Maximum Information Variance υ-support Vector Machine
		The state-of-the-art pattern classifiers can not efficiently preserve the local geometrical structure or the diversity (or discriminative) information of data points embedded in high-dimensional data space, which is useful for pattern recognition. A novel...
		2012 Vol. 38 (1): 97-108 [Abstract ] ( 37 ) [HTML 0KB] [PDF 510KB ]( 55 )

	109	TAO Gui-Li, and DENG Zi-Li
		Self-tuning Fusion Kalman Filter with Unknown Parameters and Its Convergence
		For the multisensor systems with unknown model parameters and noise variances, a self-tuning decoupled fused Kalman filter is presented based on the optimal fusion rule weighted by scalars for components. Its convergence is proved by using the dynamic err...
		2012 Vol. 38 (1): 109-119 [Abstract ] ( 31 ) [HTML 0KB] [PDF 981KB ]( 40 )

	120	LIU Xiao-Lu, CHEN Ying-Guo, HE Ren-Jie and CHEN Ying-Wu
		Application of Kriging Surrogate Model to Optimization of Earth Observation Satellite System
		Optimized system configuration is the key point to improve performance of earth observation satellite system (EOSS). However, its performance can not be calculated analytically. To solve the problem of EOSS optimization, we propose a simulation based opti...
		2012 Vol. 38 (1): 120-127 [Abstract ] ( 35 ) [HTML 0KB] [PDF 452KB ]( 26 )

Brief Papers

	128	LI Yang, TIAN Yan-Tao, and CHEN Wan-Zhong
		Modeling and Classifying of sEMG Based on FFT Blind Identification
		In this paper, the FFT-based blind identification method is used to establish surface electromyographic signal (sEMG) in order to overcome the disadvantage of sEMG, which is susceptible to muscle fatigue and external factors. With no assumption on the pre...
		2012 Vol. 38 (1): 128-134 [Abstract ] ( 36 ) [HTML 0KB] [PDF 524KB ]( 40 )

	135	CHEN Jie, , WANG Guo-Jin, , JIN Cong-Jian and
		Two Kinds of Generalized Progressive Iterative Approximations
		In the field of computer aided design, the progressive iterative approximation (PIA) property of curves (surfaces) has wide applications in the interpolation and fitting problems, some previous works mainly discussed this PIA property in the case of norma...
		2012 Vol. 38 (1): 135-139 [Abstract ] ( 33 ) [HTML 0KB] [PDF 831KB ]( 42 )

	139	WANG Xiang-Hai, , FANG Ling-Ling and CONG Zhi-Huan
		Research on Real-time Multi-targetbaselineskip Tracking Algorithm Based on MSPF
		Recently, real-time monitoring multi-target tracking as an important component of intelligent transportation system (ITS) has been paid much attention. The traditional multi-target tracking algorithm has problems that the processing speed is slow and the ...
		2012 Vol. 38 (1): 139-144 [Abstract ] ( 36 ) [HTML 0KB] [PDF 387KB ]( 41 )