中国科技论文在线

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2006年09月26日

桂卫华，谢永芳，吴敏，陈宁

控制理论与应用，2001，18（2）：263-265，-0001，（）：

-1年11月30日

对一类满足匹配条件的不确定性关联时滞大系统，根据Lyapunov稳定性原理，给出了其可分散状态反馈镇定的充分条件，即一组线性矩阵不等式（LMI）有解。在此基础上，通过求解一凸优化问题，提出了具有较小反馈增益的分散稳定化状态反馈控制律的设计方法。文中最后用示例说明了该方法的应用与优越性。

不确定性，时滞， LMI，分散控制，鲁棒性

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2006年09月26日

【期刊论文】基于LM I 的不确定性关联时滞大系统的分散鲁棒控制1)

桂卫华，谢永芳，吴敏，陈宁

自动化学报，2002，28（1）：155-59，-0001，（）：

-1年11月30日

摘要

数值界不确定性，时滞，分散控制，线性矩阵不等式，鲁棒性

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2006年09月26日

【期刊论文】A delay-dependent passivity criterion of linear neutral delay systems

桂卫华， Weihua GUI， Biyu LIU， Zhaohui TANG

Journal of Control Theory and Applications 2(2006)201-206，-0001，（）：

-1年11月30日

摘要

The problem of delay-dependent stability and passivity for linear neutral systems is discussed. By con-tructing a novel type Lyapunov-krasovskii functional, a new delay-dependent passivity criterion is presented in terms of linear matrix inequalities (LMIs). Model transformation, bounding for CROSS terms and selecting flee weighting matrices [12-14] are not required in the arguments. Numerical examples show that the proposed criteria are available and less conservative than existing results.

Neutral delay systems， Delay-dependent criteria， Linear matrix inequalities (， LMIs)，， Lyapunov-krasovskii

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2006年09月26日

【期刊论文】A PREDICTION MODEL OF SULFUR* BASED ON INTELLIGENT INTEGRATED STRATEGY

桂卫华， Xiaofang Chen， Weihua Gui， Yalin Wang， Min Wu， Chunhua Yang

，-0001，（）：

-1年11月30日

摘要

Considering the prediction of sulfur in agglomerate in sintering process, a prediction model based on intelligent integrated strategy is put forward in this paper, where the mathematical model calculates the sulfur content in agglomerate following material balance equation with some parameters predicted by NN method, while the expert rule model describes the relationship between sulfur quantity and key factors. An intelligent coordinator based on fuzzy logic is proposed to synthesize the output of the models. The industrial application proved its effectiveness in sintering production.

prediction， neural network， fuzzy inference， process models， expert systems

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2006年09月26日

【期刊论文】An Optimal Power-Dispatching Control System for the Electrochemical Process of Zinc Based on Backpropagation and Hopfield Neural Network

桂卫华， Chunhua Yang， Geert Deconinck， Senior Member， IEEE， and Weihua Gui

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 50, NO.5, OCTOBER 2003，-0001，（）：

-1年11月30日

摘要

This paper describes an optimization problem to minimize the cost of power consumption for the electrochemical process of zinc (EPZ) depending on varying prices of electrical power. A series of conditional experiments was conducted to obtain enough data, which reflect the complex relationships among the factors influencing power consumption. Two backpropagation neural networks are used to build a process model that describes these relationships. An equivalent Hopfield neural network is constructed to solve this nonlinear optimization problem with technological constraints, a penalty function is introduced into the network energy function to meet the equality constraints, and inequality constraints are removed by altering the sigmoid function. An optimal power-dispatching control system (OPDCS) has been developed to provide an optimal power-dispatching scheme and keep the EPZ running economically. Since the OPDCS was put into service in a smeltery, the cost of power consumption has decreased significantly, and it also contributes to balancing the power grid load.

Backpropagation neural network (， BPNN)，， electrochemical process of zinc (， EPZ)，， Hopfield neural network (， HNN)，， optimization， power dispatching， varying prices of electrical power.，

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