Browsing AURA by Author "Yin, Shen"

Now showing items 1-9 of 9

    • Advanced stochastic control systems with engineering applications 

      Liu, Ming; Shi, Peng; Karimi, Hamid Reza; Yin, Shen; Su, Xiaojie (Journal article; Peer reviewed, 2014)

    • Data-driven adaptive observer for fault diagnosis 

      Yin, Shen; Yang, Xuebo; Karimi, Hamid Reza (Journal article; Peer reviewed, 2012)
      This paper presents an approach for data-driven design of fault diagnosis system. The proposed fault diagnosis scheme consists of an adaptive residual generator and a bank of isolation observers, whose parameters are ...

    • Design of a TFT-LCD based digital automobile instrument 

      Xu, Yunsong; Yin, Shen; Yu, Jinyong; Karimi, Hamid Reza (Journal article; Peer reviewed, 2014)
      The traditional mechanical instrument lacks the ability to satisfy the market with characters of favorable compatibility, easy upgrading, and fashion. Thus the design of a TFT-LCD (thin film transistor-liquid crystal ...

    • Filtering for discrete fuzzy stochastic time-delay systems with sensor saturation 

      You, Jia; Yin, Shen; Karimi, Hamid Reza (Journal article; Peer reviewed, 2013)
      This paper addresses the H-infinity filtering problem for discrete fuzzy stochastic systems with time-varying delay and sensor saturation. Random noise depending on state and external disturbance is also taken into account. ...

    • Metric learning method aided data-driven design of fault detection systems 

      Yan, Guoyang; Mei, Jiangyuan; Yin, Shen; Karimi, Hamid Reza (Journal article; Peer reviewed, 2014)
      Fault detection is fundamental to many industrial applications. With the development of system complexity, the number of sensors is increasing, which makes traditional fault detection methods lose efficiency. Metric learning ...

    • Multivariate methods based soft measurement for wine quality evaluation 

      Yin, Shen; Liu, Lei; Gao, Xin; Karimi, Hamid Reza (Journal article; Peer reviewed, 2014)
      Soft measurement is a new, developing, and promising industry technology and has been widely used in the industry nowadays. This technology plays a significant role especially in the case where some key variables are ...

    • Residual generator-based controller design via process measurements 

      Huang, Zenghui; Yin, Shen; Karimi, Hamid Reza (Journal article; Peer reviewed, 2014)
      This paper deals with designing the controller of LTI system based on data-driven techniques. We propose a scheme embedding a residual generator into control loop based on realization of the Youla parameterization for ...

    • Robust estimation for discrete Markov system with time-varying delay and missing measurements 

      You, Jia; Yin, Shen; Karimi, Hamid Reza (Journal article; Peer reviewed, 2013)
      This paper addresses the H∞ filtering problem for time-delayed Markov jump systems (MJSs) with intermittent measurements. Within network environment, missing measurements are taken into account, since the communication ...

    • Study on support vector machine-based fault detection in Tennessee Eastman process 

      Yin, Shen; Gao, Xin; Karimi, Hamid Reza; Zhu, Xiangping (Journal article; Peer reviewed, 2014)
      This paper investigates the proficiency of support vector machine (SVM) using datasets generated by Tennessee Eastman process simulation for fault detection. Due to its excellent performance in generalization, the ...