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	1. Stability analysis and systematic design of Takagi-Sugeno fuzzy control systems
	Xiu Zhihong,Ren Guang
	Information Science and System Science 30 October 2006
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	Abstract:The stability analysis and systematic design technique of Takagi-Sugeno (T-S) fuzzy control systems are discussed. The standard fuzzy partition (SFP) of the input variables of fuzzy control systems is defined. Based on the properties of fuzzy control systems with SFP inputs, the stability of both the input-free T-S fuzzy systems and the closed-loop T-S fuzzy control systems are studied in detail with the extended Lyapunov theory, and two theorems to check the stability of T-S fuzzy control systems are proposed. These methods which only require to find a common positive-definite matrix in each maximal overlapped-rules group (MORG), can reduce the conservatism and difficulty of the former stability analysis approaches. Using the method of parallel distributed compensation (PDC), the systematic design approach of T-S fuzzy control systems is presented. The simulation results of three examples show that these methods are effective.
	TO cite this article:Xiu Zhihong,Ren Guang. Stability analysis and systematic design of Takagi-Sugeno fuzzy control systems[OL].[30 October 2006] http://en.paper.edu.cn/en_releasepaper/content/9129


	2. Robust Static Output Feedback Control for Discrete-time Diamond Uncertain Systems
	Li Junmin
	Information Science and System Science 10 July 2006
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	Abstract:An output feedback control of discrete-time diamond uncertainty MIMO systems is presented by the result of finite extreme testing. By means of the finite LQ problems simultaneously obtaining optimization, we obtain a method of determining the output feedback gain matrix K，which ensure the diamond closed-loop systems to be stable. A numerical example also is given to demonstrate the efficient of the method
	TO cite this article:Li Junmin. Robust Static Output Feedback Control for Discrete-time Diamond Uncertain Systems[OL].[10 July 2006] http://en.paper.edu.cn/en_releasepaper/content/7518

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	3. Fuzzy Prediction of Environment Quality
	Liu Tao,Li Ying
	Information Science and System Science 27 June 2006
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	Abstract:In the paper, the fuzzy inference model of prediction was established. The environment quality of a specifically city, Fuxin, was estimated and predicted with the approach of characteristic expansion, and the indices which mainly determined the whole environment quality of the given city were achieved.
	TO cite this article:Liu Tao,Li Ying. Fuzzy Prediction of Environment Quality[OL].[27 June 2006] http://en.paper.edu.cn/en_releasepaper/content/7348


	4. BP Neural Network principle and MATLAB Simulation
	Xiong Xin,Nie Mingxin
	Information Science and System Science 19 May 2006
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	Abstract: This paper introduces the prevalent BP algorithm in neural network, and discusses the goodness、problem and training process of BP neural network, as well as using MATLAB software to simulate the numbers on the basis of it. At last, several improved BP training algorithms have been compared in the paper.
	TO cite this article:Xiong Xin,Nie Mingxin. BP Neural Network principle and MATLAB Simulation[OL].[19 May 2006] http://en.paper.edu.cn/en_releasepaper/content/6688


	5. An Assemble-to-Order System with Two End Products
	Wei Jie ,Tu Fengsheng
	Information Science and System Science 19 October 2005
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	Abstract:A single period assemble-to-order system consisting of a manufacturer and three suppliers was considered. The manufacturer produces two different types of correlated end products, each product needs a different mix of a common set of component parts, which belong to two types, one type is specific components and the other is common components. How to manage inventories of components in such a system is of managerial interest. We formulate the inventory management problem for the system as a two-stage stochastic nonlinear integer program. We prove the decomposition of total expected profit function and give two algorithms. We solve the first stage of the problem to determine the optimal stock levels of the components by algorithm 2 and solve the second stage problem by algorithm 1, where the component allocation decisions are made. At last, we give a numerical example.
	TO cite this article:Wei Jie ,Tu Fengsheng. An Assemble-to-Order System with Two End Products [OL].[19 October 2005] http://en.paper.edu.cn/en_releasepaper/content/3310


	6. Observer Design for a Class of Uncertain Switched Systems
	Ju Peijun
	Information Science and System Science 30 September 2005
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	Abstract:for the systems is studied and the convergence rate of system is estimated. All the results are given in the form of linear matrix inequality (LMI) approach.
	TO cite this article:Ju Peijun. Observer Design for a Class of Uncertain Switched Systems[OL].[30 September 2005] http://en.paper.edu.cn/en_releasepaper/content/3094


	7. 2-D Algebraic Test for Robust Stability of Time-Delay Systems with Interval Parameters
	Yang Xiao
	Information Science and System Science 08 July 2005
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	Abstract:It is difficult to determine the robust stability of time-delay systems with interval parameters because the number of eigenvalues of the systems is infinite. To solve the problem of robust stability test of the systems, we develop a 2-D algebraic test for stability of time-delay systems with an edge test set based on Kharitonov vertex polynomials. Constructing a 2-D s-z hybrid polynomial family with interval parameters based on the characteristic polynomial of given interval time-delay system, the robust stability of the edges of interval 2-D polynomial can ensure the given interval delay system to be stable. Some complex Hurwitz-Schur test algorithms for the robust stability of 2-D s-z hybrid interval polynomial are provided. Simulation for an example verifies the results of the paper to be correct.
	TO cite this article:Yang Xiao. 2-D Algebraic Test for Robust Stability of Time-Delay Systems with Interval Parameters[OL].[ 8 July 2005] http://en.paper.edu.cn/en_releasepaper/content/2401


	8. Stability Conditions of Complex Switched Systems with Unstable Subsystems
	Yang Xiao
	Information Science and System Science 05 July 2005
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	Abstract:New stability conditions for complex switched systems are presented. We propose the concepts of attractive region and semi-attractive region, and to be a tool for analyzing the stability of switched systems with unstable subsystems. Based on attractive region the sufficient conditions with less conservative for stability of switched systems have been established, there is no limitation for all members of the system set to be stable. Since our results have considered and utilized the decreasing span of oscillating solutions of the switched systems, they are more practical than the other presented ones of stability of switched systems, and need not resort to multiple Lyapunov functions.
	TO cite this article:Yang Xiao. Stability Conditions of Complex Switched Systems with Unstable Subsystems[OL].[ 5 July 2005] http://en.paper.edu.cn/en_releasepaper/content/2368


	9. Robust Hurwitz-Schur Stability Conditions of Polytopes of 2-D Polynomials
	Yang Xiao
	Information Science and System Science 01 July 2005
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	Abstract:The characteristic polynomials of polytopes of recursive 2-D continuous-discrete systems are polytopes of bivariate (2-D) polynomials. Since the root domain of bivariate polynomials is in 2-D complex space, to be different from that of 1-D polynomials, the analysis for robust stability of polytopes of 2-D polynomials is much more complicated than 1-D case. To solve the problem of stability test of polytopes of recursive continuous-discrete systems, we establish necessary and sufficient conditions of robust Hurwitz-Schur stability of polytopes of bivariate polynomials. We show that the robust Hurwitz-Schur stability of a polytope of 2-D polynomials can be determined by testing the stability of the edges of the polytope. An example has been given to demonstrate the applicability of our new approach.
	TO cite this article:Yang Xiao. Robust Hurwitz-Schur Stability Conditions of Polytopes of 2-D Polynomials[OL].[ 1 July 2005] http://en.paper.edu.cn/en_releasepaper/content/2334


	10. The Classical Conditioning Model with Spiking Neuron and Its Application to the Inverted Pendulum Control System
	Beibei Yang,Xiaogang Ruan
	Information Science and System Science 15 April 2005
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	Abstract:A spiking-neuron based cognitive model with classical conditioning behaviors is proposed. With a reflex arc structure and a reinforcement learning method based on the Hebb rule, the cognitive model possesses the property of ‘stimulate-response- reinforcement’ and can simulate the learning process of classical conditioning. An experiment on the inverted pendulum validated that this model can learn the balance control strategy by classical conditioning.
	TO cite this article:Beibei Yang,Xiaogang Ruan. The Classical Conditioning Model with Spiking Neuron and Its Application to the Inverted Pendulum Control System[OL].[15 April 2005] http://en.paper.edu.cn/en_releasepaper/content/1864

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