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	1. Robust System Identification of Continuous-Time Model from Frequency Response Function Data
	TANG Wei
	Information Science and System Science 19 April 2011
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	Abstract:This paper addresses the numerical conditioning problem that arises in the continuous-time system identification case. To solve this problem, a new frequency domain weighted least squares estimator using matrix orthogonal polynomial basis (MOPB) is proposed, which allow us to model transfer function matrix without vector operation, and yield perfect condition number. The key idea is to expand the matrix fraction description model on MOPB. The construction of MOPB is described in this paper and the efficacy of this method is illustrated with a numerical example.
	TO cite this article:TANG Wei. Robust System Identification of Continuous-Time Model from Frequency Response Function Data[OL].[19 April 2011] http://en.paper.edu.cn/en_releasepaper/content/4423033


	2. Optimal Node Placement in Industrial Wireless Sensor Networks Using Adaptive Mutation Probability Binary Particle Swarm Optimization Algorithm
	WANG Ling,FU Xiping,WANG Haikuan,FEI Minrui
	Information Science and System Science 10 March 2011
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	Abstract:Industrial Wireless Sensor Networks (IWSNs), a novel technique in the field of industrial control, can greatly reduce the cost of measurement and control, as well as improve productive efficiency. Different from Wireless Sensor Networks (WSNs) in non-industrial areas, IWSNs has high requirements for reliability, especially for large-scale industry application. As the network architecture has great influences on the performance of IWSNs, this paper discusses the node placement problem in IWSNs. Considering the reliability requirements, the setup cost and energy balance in IWSNs, the node placement problem in large-scale IWSNs is a non-linear constrained multi-objective optimization problem. In this paper, the node placement model of IWSNs is built and an adaptive mutation probability binary Particle Swarm Optimization algorithm (AMPBPSO) is proposed to solve this model. Performance comparisons show that the proposed AMPBPSO outperforms discrete binary Particle Swarm Optimization (DBPSO) and standard Genetic Algorithm (SGA) and AMPBPSO is more effective for the optimal node placement in IWSNs with various kinds of field scales and different node densities in terms of network reliability, load uniformity, total cost and convergence speed.
	TO cite this article:WANG Ling,FU Xiping,WANG Haikuan, et al. Optimal Node Placement in Industrial Wireless Sensor Networks Using Adaptive Mutation Probability Binary Particle Swarm Optimization Algorithm[OL].[10 March 2011] http://en.paper.edu.cn/en_releasepaper/content/4415695

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	3. H∞ Filter Design for Markovian Jump Systems: the Finite-Horizon case
	Hongli Dong,Zidong Wang,Huijun Gao,Lixian Zhang
	Information Science and System Science 23 February 2011
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	Abstract:This paper investigates the H∞ filtering problem for a class of discrete time-varying Markovian jump systems. A full-order time-varying filter is constructed over a given finite-horizon, such that the H∞ disturbance attenuation level is guaranteed for the time-varying Markovian jump systems. The existence criterion of the desired filter is obtained in terms of a set of recursive linear matrix inequalities. A numerical example is presented to illustrate the effectiveness of the developed theoretical results.
	TO cite this article:Hongli Dong,Zidong Wang,Huijun Gao, et al. H∞ Filter Design for Markovian Jump Systems: the Finite-Horizon case[OL].[23 February 2011] http://en.paper.edu.cn/en_releasepaper/content/4411927


	4. Delay-Derivative-Dependent Stability Criterion for Neutral Type Lurie System with Interval Time-Varying Delay
	XUE Mingxiang,FEI Shumin,LI Tao,PAN Juntao
	Information Science and System Science 12 February 2011
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	Abstract:In this brief, based on Lyapunov-Krasovskii functional approach and appropriate integral inequality, some new sufficient conditions are derived to guarantee the global asymptotically stability for neutral Lurie system with interval time-varying delay, in which the improved convex combination are employed. The LMI-based criterion heavily depends on both the upper and lower bounds on time delay and its derivative, which is different from the existent ones and has wider application fields than some present results. Finally, two numerical examples can illustrate the efficiency of the new method and reduced conservatism of the presented results.
	TO cite this article:XUE Mingxiang,FEI Shumin,LI Tao, et al. Delay-Derivative-Dependent Stability Criterion for Neutral Type Lurie System with Interval Time-Varying Delay[OL].[12 February 2011] http://en.paper.edu.cn/en_releasepaper/content/4410590


	5. Human Pulse Patterns Recognition using Improved Echo State Network
	Yang Ling,Wang Ruxu,Wang Guanghui,Zhang Wenbo
	Information Science and System Science 21 January 2011
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	Abstract:In order to analysis human pulse more effectively and design a more perfect neural network identifier than current ones in process of pulse patterns recognition, the physiological significance of human pulse，as an important reference of selecting pulse feature parameters used to identify pulse，is fully considered. Based on traditional Chinese medicine（TCM） pulse theory, the pulse time domain and frequency domain feature parameters are extracted, and then the correlation dimension, maximum Lyapunov exponent and Kolmogorov entropy, which are used as the chaos feature parameters of pulse and used to quantitatively verify that the pulse is a typical chaotic signal, are received by calculating in the reconstructed multidimensional phase space of pulse. Finally, the improved echo state network (ESN) identifier, whose activation function is switched to non-symmetric function combined with chaos theory, is designed and used to train and test 12 kinds of pulse patterns. And the main parameters of the novel neural network are optimized by particle swarm optimization (PSO) algorithm. Experiments show that the pulse feature parameters are selected effectively and the improved ESN neural network is more superior to feedforward neural networks, such as back propagation (BP) neural network, probabilistic neural network (PNN) and radial basis function (RBF) neural network.
	TO cite this article:Yang Ling,Wang Ruxu,Wang Guanghui, et al. Human Pulse Patterns Recognition using Improved Echo State Network[OL].[21 January 2011] http://en.paper.edu.cn/en_releasepaper/content/4408370


	6. Robust Filtering For Nonlinear Stochastic Systems With Limited Capacity Channel
	Jia You,Ming Liu,Huijun Gao,Lixian Zhang
	Information Science and System Science 12 January 2011
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	Abstract:This paper investigates the H∞ filtering problem for a class of nonlinear stochastic systems over limited capacity channel. The considered plant is described by a class of It^o stochastic time-delay systems with Lipschitz nonlinearities, and the output measurements are subject to logarithmic quantization before being transmitted in the network communication link. A new effective mathematical transformation is proposed to deal with the logarithmic quantization function. A H-infinity filter is designed for the stochastic system under consideration by employing the quantized output measurements. A numerical example is provided to illustrate the effectiveness of the proposed filtering technique in this paper.
	TO cite this article:Jia You,Ming Liu,Huijun Gao, et al. Robust Filtering For Nonlinear Stochastic Systems With Limited Capacity Channel[OL].[12 January 2011] http://en.paper.edu.cn/en_releasepaper/content/4406163


	7. Tissue P systems with cell separation: attacking the partition problem
	Zhang Xingyi,Wang Shuo,Niu Yunyun,Pan Linqiang
	Information Science and System Science 11 January 2011
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	Abstract:Tissue P systems are distributed parallel and non-deterministic computing models in the framework of membrane computing, which are inspired by intercellular communication and cooperation between neurons. Recently, cell separation is introduced into tissue P systems, which enables systems to generate an exponential workspace in a polynomial time. In this work, the computational power of tissue P systems with cell separation is investigated. Specifically, a uniform family of tissue P systems with cell separation is constructed for efficiently solving a well-known NP-complete problem, the partition problem.
	TO cite this article:Zhang Xingyi,Wang Shuo,Niu Yunyun, et al. Tissue P systems with cell separation: attacking the partition problem[OL].[11 January 2011] http://en.paper.edu.cn/en_releasepaper/content/4405857


	8. Missing Value Imputation in Gene Expression Data Using Histone Acetylation Information
	XIANG Qian
	Information Science and System Science 16 December 2010
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	Abstract:Accurate estimation of missing values in microarray data is important for the expression profile analysis. In this paper, missing value imputation is done with the aid of gene regulatory mechanism. It incorporates histone acetylation into the conventional k-nearest neighbor and local least square imputation algorithms for final prediction. The comparison results indicated that the proposed method consistently improves the widely used methods and outperforms GOimpute in terms of normalized root mean squared error(NRMSE), which is one of the existing related methods that use the functional similarity as the external information. The results demonstrated histone acetylation information may be more highly correlated with the gene expression than that of functional similarity.
	TO cite this article:XIANG Qian. Missing Value Imputation in Gene Expression Data Using Histone Acetylation Information[OL].[16 December 2010] http://en.paper.edu.cn/en_releasepaper/content/4398573


	9. Quantitative Modeling Effects of Nucleosome on Transcription Factor-DNA Interactions
	XIANG Qian
	Information Science and System Science 16 December 2010
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	Abstract:Transcription factor-DNA interactions play a central role in transcriptional control. These bindings are stochastic processes and regulated by the nucleosomes in vivo. However, current models tend to neglect the nucleosomes and regard the binding as a set of binary cases. A computational model is presented here to address the issues. It integrates TF bindings to nucleosomal and naked DNA in a quantitative manner and results in continuous binding probabilities along the genome. The predictive ability of the model was applied to rationalize the binding data for the TFs considered, which made improvements over those models disregarding the nucleosomes.
	TO cite this article:XIANG Qian. Quantitative Modeling Effects of Nucleosome on Transcription Factor-DNA Interactions[OL].[16 December 2010] http://en.paper.edu.cn/en_releasepaper/content/4398561


	10. Efficient Computing Budget Allocation for Simulation-Based Policy Improvement
	Qing-Shan Jia
	Information Science and System Science 16 December 2010
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	Abstract:The dynamics of many systems in nowadays follow not only physical laws but also man-made rules. These systems are known as discrete event dynamic systems (DEDS's). Policy improvement of such systems is usually based on simulation, which is time consuming and provides only noisy performance evaluation. It is of great practical interest to understand how to allocate the computing budget among action candidates so that a better policy is found with high probability. Despite the abundant studies on simulation-based policy optimization, few consider this allocation problem. This paper considers this important problem. Based on the method of optimal computing budget allocation (OCBA) in simulation-based optimization, an efficient allocation procedure is developed, which is shown to asymptotically maximize a lower bound of the probability of correctly selecting the best action. This allocation procedure is compared with equal allocation, which is well adopted in practice, on numerical examples. The numerical results show that even when there are only finite computing budget to allocate, this OCBA-based allocation procedure outperforms equal allocation and has good performance. We hope this work brings insight to computing budget allocation for simulation-based policy improvement in more general situations.
	TO cite this article:Qing-Shan Jia. Efficient Computing Budget Allocation for Simulation-Based Policy Improvement[OL].[16 December 2010] http://en.paper.edu.cn/en_releasepaper/content/4398483

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