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The Variational Lyapunov Method and Stability for Impulsive Delay Differential Systems

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Journal of Mathematical Research and Exposition 2010年第1期30卷 67-77页

作者： Kai En LIU1,2. Guo Wei YANG3 1. school of Mathematics, Qingdao University, Shandong 2.6071, P. R. china 2. Center for Systems and Control, College of Engineering, Peking University, Beijing 100871, P. R. china 3. school of automation Engineering, Qingdao University, Shandong 2.6071, P. R. china school of Mathematics Qingdao University Shandong P.R.China 266071 school of automation Engineering Qingdao University Shandong P.R.China 266071

By using the variational Lyapunov method and Razumikhin technique, the stability criteria in terms of two measures for impulsive delay differential systems are established. The known results are generalized and improv... 详细信息

关键词： impulsive delay differential system stability variational Lyapunov method Razumikhin technique two measures.

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稳定平台有限记忆模型H∞目标预测滤波算法

系统仿真学报 2009年第13期21卷 4072-4076页

作者：杨蒲李奇陈冬冬南京航空航天大学自动化学院南京210016 东南大学自动化学院南京210016

针对陀螺稳定平台跟踪系统中脱靶量信号存在延迟和不确定扰动的问题,提出了有限记忆模型H∞预测滤波算法。根据实际目标运动的机动特征,采用有限记忆模型对目标进行运动建模,避免了对目标输入输出特性的依赖,同时采用递推最小二乘法对... 详细信息

针对陀螺稳定平台跟踪系统中脱靶量信号存在延迟和不确定扰动的问题,提出了有限记忆模型H∞预测滤波算法。根据实际目标运动的机动特征,采用有限记忆模型对目标进行运动建模,避免了对目标输入输出特性的依赖,同时采用递推最小二乘法对模型参数进行实时辨识,简化了运算,提高了模型精度。在此基础上,将鲁棒H∞方法应用到目标信号滤波和预测中去,有效的补偿了信号时延和扰动。仿真和实际平台测试表明了该方法的有效性和可行性。与常用的卡尔曼预测滤波方法相比较,说明了该方法对目标机动和随机噪声扰动具有更好的鲁棒性,有效提高了目标信号的预测精度。

关键词：陀螺稳定平台有限记忆模型 H∞滤波预测控制

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电站中速磨的模糊跟踪控制及仿真

系统仿真学报 2008年第22期20卷 6169-6170,6175页

作者：张坚费敏锐上海大学机电工程与自动化学院上海市电站自动化技术重点实验室上海200072 清华大学微电子学研究所北京100084

针对电站中速磨的控制难题,提出了一种模糊状态反馈跟踪控制方案。利用内模原理的特性来改善模糊跟踪控制系统的性能,使得被控非线性对象的输出变量可以渐进跟踪期望的变化轨迹。采用T-S建模方法来对中速磨进行建模并得到其T-S模糊模型... 详细信息

针对电站中速磨的控制难题,提出了一种模糊状态反馈跟踪控制方案。利用内模原理的特性来改善模糊跟踪控制系统的性能,使得被控非线性对象的输出变量可以渐进跟踪期望的变化轨迹。采用T-S建模方法来对中速磨进行建模并得到其T-S模糊模型。针对中速磨的T-S模糊模型设计模糊状态反馈跟踪控制系统并进行仿真,结果表明系统的输出可以很好地跟踪给定的轨迹。

关键词：模糊状态反馈跟踪控制中速磨 T-S模糊模型内模原理

Binary particle swarm optimization with multiple evolutionary strategies

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Science china(Information Sciences) 2012年第11期55卷 2485-2494页

作者： ZHAO Jing1,HAN ChongZhao1 & WEI Bin2.1Ministry of Education Key Lab For Intelligent Networks and Network Security,State Key Laboratory for Manufacturing Systems Engineering,Institute of Integrated automation,school of Electronics and Information Engineering,Xi'an Jiaotong University,Xi'an 710049,{2. 2.nstitute of System Engineering,school of Electronics and Information Engineering,Xi'an Jiaotong University,Xi'an 710049,{2. 1. Ministry of Education Key Lab For Intelligent Networks and Network Security State Key Laboratory for Manufacturing Systems Engineering Institute of Integrated Automation School of Electronics and Information Engineering Xi’an Jiaotong University Xi’an 710049 China2. Institute of System Engineering School of Electronics and Information Engineering Xi’an Jiaotong University Xi’an 710049 China

This paper introduces a novel variation of binary particle swarm optimization(BPSO) algorithm and a further extension to improve its ***,mimicking the behaviors of some creatures group,multiple evolutionary strategies BPSO(MBPSO) is introduced which takes different evolutionary strategies for various particles according to their ***,on the basis of MBPSO,a new strategy is discussed to improve the performance of the MBPSO(M2.PSO) which adopts the concept of the mutation operator aiming to overcome the premature convergence and slow convergent speed during the later stages of the *** proposed two algorithms are tested on seven benchmark functions and their results are compared with those obtained by other *** results show that our methods outperform the other algorithms.

关键词： binary particle swarm optimizer evolutionary strategies swarm intelligence

The normal numbers of the fuzzy systems and their classes

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Science china(Information Sciences) 2010年第11期53卷 2215-2229页

作者： LI HongXing1,3, YUAN XueHai1, WANG JiaYin2.& LI YuCheng3 1Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 11602., china 2.1} of Mathematical Sciences, Beijing Normal University, Beijing 100875, china 3Department of automation, North china University of Technology, Beijing 100144, china 1. Faculty of Electronic Information and Electrical Engineering Dalian University of Technology Dalian 116024 China3. Department of Automation North China University of Technology Beijing 100144 China2. School of Mathematical Sciences Beijing Normal University Beijing 100875 China

R-fuzzy set is defined in this paper, which is regarded as the generalization of the Zadeh fuzzy set. By means of CRI method, some fuzzy systems are constructed by suitably using several kinds of R-fuzzy sets as fuzzy inference antecedents, such as interpolation fuzzy system, Bernstein fuzzy system, Lagrange fuzzy system and Hermite fuzzy system. A notion of the normal number of the fuzzy system is defined here, we have shown that all fuzzy systems are able to be classified as three classes such as the normal fuzzy systems, the regular fuzzy systems and the singular fuzzy systems under the significance of the normal numbers of fuzzy systems. Finally, the generalized Bernstein polynomial is obtained by constructing Bernstein fuzzy system, it is proved that the generalized Bernstein polynomial is uniformly convergent in C[a,b] under a weaker condition, and it is pointed out that there exist generalized Bernstein polynomials to be not convergent in C[a,b] by use of constructing a counterexample.

关键词： R-fuzzy set fuzzy system the normal number of fuzzy system universal approximation property for fuzzy system

Modeling and Nonlinear Computed Torque Control of Ship-mounted Mobile Satellite Communication System

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International Journal of automation and computing 2012年第5期9卷 459-466页

作者： Jun Jiang 1 Bin Yao 2.3 Jian Guo 1 Qing-Wei Chen 1 1 school of automation, Nanjing University of Science and Technology, Nanjing 2.0094, {2. 2.school of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USA 3 State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou 31002., {2. 1. school of automation Nanjing University of Science and Technology Nanjing 210094 China 2. school of Mechanical Engineering Purdue University West Lafayette IN 47907 USA 3. State Key Laboratory of Fluid Power Transmission and Control Zhejiang University Hangzhou 310027 China

A mobile satellite communication system (MSCS) is a device installed on a moving carrier for mobile satellite communication. It can eliminate disturbance and maintain continuous satellite communication when the carrier is moving. Because of many advantages of mobile satellite communication, the MSCSs are becoming more and more popular in modern mobile communication. In this paper, a typical ship-mounted MSCS is studied. The dynamic model of the system is derived using the generalized Lagrange method both in the joint space and in the workspace. Based on the dynamic model, a nonlinear computed torque controller with trajectory planning is designed to track an aimed satellite with a satisfied transient response. Simulation results in two different situations are presented to show the tracking performance of the controller.

关键词： Mobile satellite communication system (MSCS) dynamic modeling computed torque control tracking control ship-mounted

Evolutionary Topology Optimization for Heat Conduction Fields

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武汉理工大学学报 2006年第S3期28卷 876-881页

作者： LI Jiachun~(1,2. YE Bangyan~1 TANG Yong~1 GUAN Qiming~2.YANG Xudong~2.(1.College of Mechanical Engineering,South china University of Technology,Guangzhou 510640,china, 2.{2. of Mechanical Engineering and automation,Guizhou University,Guiyug 55002.,china) College of Mechanical Engineering South China University of TechnologyGuangzhou 510640China school of Mechanical Engineering and automation Guizhou UniversityGuiyuag 550025China College of Mechanical Engineering South China University of TechnologyGuangzhou 510640China school of Mechanical Engineering and automation Guizhou UniversityGuiyuag 550025China

An effective evolutionary method for solving the structural topology design problems of heat conductive fields is presented in this *** topology optimization model based on minimizing the heat transport potential capacity dissipation of heat conductive field is then established and the corresponding sensitivity of objective function is derived to determine which elements would be removed of the heat conductive field for having the increment of the objective heat transport potential capacity dissipation minimized.A Filtering technique is employed in sensitivity field to eliminate numerical instabilities in the evolutionary procedure. Numerical examples are presented to demonstrate the validity and the engineering applicability of the evolutionary method by con- trast with SIMP method,meanwhile we can come to a conclusion that higher speed of convergence and clearer optimal topology dis- tribution without intermediate elements can be attained by using evolutionary strategy,with the results laying a reliable foundation for the subsequent shape and size optimizations in thermal engineering.

关键词： evolution heat transport potential capacity dissipation topology optimization filtering technique

Design of Digital Control System for Cement Raw Material Preparation

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武汉理工大学学报 2006年第S3期28卷 1157-1160页

作者： ZHOU Ying LI Hongsheng school of automation,Wuhan University of Technology,Wuhan 430070,{2. school of automation Wuhan University of TechnologyWuhan 430070China

This paper describes the design of cement raw material prepared digital control system by *** uses the digital technology to implement the digital control system for raw material prepared of the cement *** system improves the communication between the industrial system and locale instrument *** applies digital communication to replace ttle 4-2. mA or 2.VDC signal between locale lever device and controller.

关键词： digital CIMS PROFIBUS

Robust fault diagnosis for non-Gaussian stochastic systems based on the rational square-root approximation model

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Science in china(Series F) 2008年第9期51卷 1281-1290页

作者： YAO LiNa1 & WANG Hong2.3 1 school of Electrical Engineering,Zhengzhou University,Zhengzhou 450001,china 2.Control Systems Centre,University of Manchester,Manchester M60 1QD,UK 3 Institute of {2.,Chinese Academy of Sciences,Beijing 100080,china school of Electrical Engineering Zhengzhou University Zhengzhou 450001 China Control Systems Centre University of Manchester Manchester M60 1QD UK Institute of automation Chinese Academy of Sciences Beijing 100080 China

The task of robust fault detection and diagnosis of stochastic distribution control （SDC） systems with uncertainties is to use the measured input and the system output PDFs to still obtain possible faults information of the system. Using the rational square-root B-spline model to represent the dynamics between the output PDF and the input, in this paper, a robust nonlinear adaptive observer-based fault diagnosis algorithm is presented to diagnose the fault in the dynamic part of such systems with model uncertainties. When certain conditions are satisfied, the weight vector of the rational square-root B-spline model proves to be bounded. Conver- gency analysis is performed for the error dynamic system raised from robust fault detection and fault diagnosis phase. Computer simulations are given to demon- strate the effectiveness of the proposed algorithm.

关键词： SDC systems output probability density functions(PDFs) robust fault detection and diagnosis rational square-root B-spline functions