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国家自然科学基金(60674051)

作品数:1 被引量:19H指数:1
相关作者:张建华张怡侯国莲更多>>
相关机构:河北理工大学华北电力大学更多>>
发文基金:北京市自然科学基金国家自然科学基金更多>>
相关领域:自动化与计算机技术更多>>

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An approach to Control Grid-side PWM Converters in Wind Power Generation Systems with Variable Structure Control and Exact Linearization
<正>Incorporating exact feedback linearization with sliding mode variable structure control strategy,a new cont...
Jianhua Zhang,Xiaojun Li,Guolian Hou,Lei Cai Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System, North China Electric Power University Beijing,China 102206
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A new analysis method for interval time-varying delay systems with probabilistic actuator-fault-occurrence
<正>The paper addresses the problem of a class of reliable control for interval time-varying delay systems with...
Du Lilong~1,Gu Zhou~2,Zhang Yuanyuan~1,Zhang Jianhua~1 1.Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System,North China Electric Power University,Beijing,China. 2.School of Power Engineering,Nanjing Normal University,210042,Nanjing,China
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Robust Stabilization of Networked Control Systems: an LMI Approach
This paper transforms the robust stabilization problem of a class of discrete-time networked control systems (...
Yu Mei,1 Tan Wen1 1.Department of Automation,North China Electric Power University,Zhuxinzhuang,Dewai,Beijing 102206,P.R.China
关键词:LMIS
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Reliable output feedback control for systems with control input delay and stochastic actuator failure
This paper is concerned with the design of reliable static output feedback controllers (RSOFC) for systems wit...
Zhou Gu,Teng Li,Zhixiang Cheng,Bin Xie,Huan Dong,Liangqing Guo School of Energy & Mechanical Engineering Nanjing Normal University
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Application of GA for Three-area Power System after Deregulation with Valve Position Limit
In recent years, electric power industry has been moving towards a deregulated framework all over the world. M...
Guolian Hou, Xinyan Zheng, Lina Qin, Jianhua Zhang North China Electric Power University, Beijing 102206
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基于形态学–小波的传感器故障诊断被引量:19
2009年
基于输入输出信号趋势分析,提出基于形态学–小波的传感器故障检测与诊断的新算法。由不同宽度结构元素构成的改进型广义形态滤波器对输入输出信号进行滤波;采用小波多分辨分析对滤波后的信号进行分析,对故障的突变点进行准确定位;利用小波变换模极大值在多尺度上的表现与李普西兹(Lipschitz)指数的关系,对传感器各个类型故障进行识别。该文针对传感器死区、恒偏差、恒增益及漂移故障进行了仿真,仿真结果证明了该算法的有效性。
侯国莲张怡张建华
关键词:传感器多分辨分析故障诊断
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