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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. 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


	6. Finite Frequency H-/H∞ Control for MIMO Singularly Perturbed System
	Cai Chenxiao,Zou Yun
	Information Science and System Science 09 December 2010
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	Abstract:This paper studies H-/H∞ control for MIMO singularly perturbed system(SPS) in finite frequency ranges. The sufficient conditions for the existence of an H-/H∞ sub-optimal controller are derived based on generalized KYP lemma. Moreover, the controller is also singularly perturbed. It is further shown that this controller is obtained through designing its fast and slow parts, and then the composite controller is established. The effectiveness of the proposed method is demonstrated through comparing with traditional H∞ design method.
	TO cite this article:Cai Chenxiao,Zou Yun. Finite Frequency H-/H∞ Control for MIMO Singularly Perturbed System[OL].[ 9 December 2010] http://en.paper.edu.cn/en_releasepaper/content/4396369


	7. Non-fragile H∞ control for neutral stochastic hybrid systems with time-varying delays
	Chen Guici,Shen Yi,Zhu Song
	Information Science and System Science 25 September 2010
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	Abstract:A robust non-fragile H∞ control problems for neutral stochastic hybrid systems with time-varying delay are studied in this paper. Firstly, a delay-dependent stochastic Markov jumping bounded real lemma is presented in terms of linear matrix inequalities (LMIs). Secondly, based on the bounded real lemma, for the additive controller uncertainties, delay-dependent sufficient conditions for the solvability of non-fragile H∞ control for neutral stochastic hybrid systems with time-varying delay are derived by taking a Lyapunov-Krasovskii functional and its derivative. The desired state feedback controller can be developed by solving some certain LMIs. At last, a numerical example is given to show the validity of the obtained results and the effectiveness of the proposed method.
	TO cite this article:Chen Guici,Shen Yi,Zhu Song. Non-fragile H∞ control for neutral stochastic hybrid systems with time-varying delays[OL].[25 September 2010] http://en.paper.edu.cn/en_releasepaper/content/4386599


	8. The exponential stability of nonlinear stochastic differential systems whose coefficients obey the polynomial growth polynomial growth
	Liu Lei ,Shen Yi ,Sun Peng
	Information Science and System Science 25 June 2010
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	Abstract:This paper discusses the exponential stability of nonlinear stochastic differential systems which coefficients obey the polynomial growth condition. Based on the stochastic analysis, we study the existence and uniqueness of the global solution of the nonlinear stochastic differential systems. Sufficient criteria on almost sure exponential stability and p-th moment exponential stability has been established. The new criteria is directly expressed in terms of the system coefficients and it can not only be applied much more easily but also cover a much wider class of nonlinear stochastic differential systems. The decay rate of almost sure exponential stability and p-th moment exponential stability are estimated through the system coefficients. Nontrivial examples with theirs numerical simulations are provided to illustrate our result.
	TO cite this article:Liu Lei ,Shen Yi ,Sun Peng . The exponential stability of nonlinear stochastic differential systems whose coefficients obey the polynomial growth polynomial growth[OL].[25 June 2010] http://en.paper.edu.cn/en_releasepaper/content/4377167


	9. Exponential stability of stochastic delayed Hopfield neural networks with Markovian switching
	Zhu Song,Shen Yi,Jiang Feng
	Information Science and System Science 24 June 2010
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	Abstract:This paper is concerned with the exponential stability analysis problem for stochastic delayed Hopfield neural networks with Markovian switching. The sufficient conditions to guarantee the almost surely exponential stability and exponential stability in mean square of an equilibrium solution are given. Finally, a numerical example is given to show the usefulness of the proposed criteria.
	TO cite this article:Zhu Song,Shen Yi,Jiang Feng. Exponential stability of stochastic delayed Hopfield neural networks with Markovian switching[OL].[24 June 2010] http://en.paper.edu.cn/en_releasepaper/content/4377068


	10. New stability criteria for the genetic regulatory network with time-varying delay and nonlinear disturbances
	Zhang Wenbing,Fang Jianan
	Information Science and System Science 02 June 2010
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	Abstract:In this paper，the stability problem for the genetic regulatory network with time-varying delay and nonlinear disturbances is studied.By employing a more effective Lyapunov Function and conducting some free-weighting approaches,some less conservative sufficient conditions for the stability problem of genetic regulatory network are derived in the terms of the linear matrix inequality(LMI),which can be easily checked by Matlab Toolbox.Finally,Two simple examples are provided to demonstrate the effectiveness and applicability of the proposed testing criteria.
	TO cite this article:Zhang Wenbing,Fang Jianan . New stability criteria for the genetic regulatory network with time-varying delay and nonlinear disturbances[OL].[ 2 June 2010] http://en.paper.edu.cn/en_releasepaper/content/4374856

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