Forthcoming articles

 


International Journal of System Control and Information Processing

 

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International Journal of System Control and Information Processing (4 papers in press)

 

Regular Issues

 

  • Enhanced Process Monitoring via Time Space Coordinated-Locality Preserving Projection   Order a copy of this article
    by Jian Yang, Hongbo Shi 
    Abstract: In this paper, a novel dimensionality reduction method, time space coordinated-locality preserving projections (TSCLPP) is proposed based on locality preserving projection (LPP). In practical process, except the data correlation in spatial scale, there exists data correlation in time scale as well for the short sampling interval. To considering the correlation of sampling points in time and spatial scale simultaneously, TSCLPP constructs the adjacency graph by selecting adjacent points in time-sequence and Euclidean distance respectively. Furthermore, the importance of the time-sequential neighbors is measured by the computed weight based on time distance. A dual objective function with a weight index coordinating the relationship between time and space is constructed to compute the transformation matrix. Hotellings T2 and squared prediction error (SPE) are established for process monitoring. A numerical case and the Tennessee-Eastman Process (TEP) are employed for the experimental verification.
    Keywords: Dimensionality reduction; Locality preserving projection; Time sequence; Euclidean distance; process monitoring.

  • An improved K-means algorithm based recognition method for working condition of flotation process   Order a copy of this article
    by Yongheng Zhao, Tao Peng 
    Abstract: In this paper, a recognition method based on an improved k-means algorithm with the priori knowledge of process is proposed for the recognition of flotation working conditions. The proposed method consists of two major stages. In the offline classification stage, the bubble feature of images under different bubble status is first extracted to obtain the dataset. Then the obtained dataset is clustered by the improved k-means algorithm with the priori knowledge. At last, the working condition is classified and their root causes under different bubble status and ore grade are analyzed. In the online recognition stage, the current bubble status is first determined. Then the current working condition is recognized by the classification algorithm with the current ore grade. Finally, the proposed method is verified by the real data from a antimony flotation processes.
    Keywords: Froth Flotation; Machine Learning; K-means.

  • Fuzzy-PI based automatic generation control of two-area interconnected nonlinear power system   Order a copy of this article
    by Lal Bahadur Prasad, Barjeev Tyagi, Hari Om Gupta 
    Abstract: This paper presents the modelling, simulation and performance analysis of automatic generation control (AGC) of two-area interconnected nonlinear power system using fuzzy logic system. Fuzzy control, one of the intelligent control techniques, uses the human expert knowledge to make control decisions. Mamdani fuzzy inference system has been used to tune proportional-integral controller for automatic generation control of two-area interconnected nonlinear power system. To compare the results the conventional integral control is also presented. The simulation of control schemes has been carried by developing MATLAB-SIMULINK models. The simulation results and analysis justify the comparative advantages of fuzzy control method.
    Keywords: AGC; area control error; fuzzy control; integral control; nonlinear power system; two-area.

  • Finite-Time Stability of Discrete-Time Switched Singular Systems with All Unstable Modes   Order a copy of this article
    by Yijing Wang, Yanchao Zou, Zhiqiang Zuo 
    Abstract: The finite-time stability problem of discrete-time switched singular systems consisting of all unstable modes is investigated in this paper. By means of dynamic decomposition technique, the original singular system is converted to a reduced-order normal discrete-time switched system. Following the idea of getting into each unstable\r\nmode, its internal behavior is analyzed in detail. Two approaches, namely, the Lyapunov one and the state transition matrix one, are utilized to design the switching law with mode-dependent average dwell time such that the finite-time stability property is guaranteed. It is shown that each of them has its own advantages. Selecting appropriate one depends on the specific object for study. In addition, the corresponding asymptotic stability criteria can be easily derived as a by-product. Finally, two examples are given to verify the obtained results and illustrate the effectiveness of the proposed strategies.
    Keywords: Discrete-time switched singular systems; finite-time stability; asymptotic\r\nstability; mode-dependent average dwell time (MDADT); unstable modes; state transition matrix approach.