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    Discrete Time Sliding Mode Switching Control Scheme With Disturbance Observer and Its Application to Superheated Steam Temperature Systems 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2016:;volume( 138 ):;issue: 010:;page 101003
    Author(s): Yu, Lei; Zhang, Chun; Huang, Jun; Fei, Shumin
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, we have addressed a slidingmode switching control scheme with disturbance observer for a class of singleinput singleoutput (SISO) discrete switched nonlinear systems which suffer from uncertain parameters. ...
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    Machine Learning Assisted Prediction of Defect Absorption Rates at Grain Boundaries Based on the Molecular Dynamics Simulation 

    Source: Journal of Applied Mechanics:;2025:;volume( 092 ):;issue: 007:;page 71009-1
    Author(s): Huang, Jun; Gu, Tang; Chen, Dengke
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Grain boundary (GB) plays a crucial role in the mechanical properties and irradiation resistance of nuclear materials. It is thus essential to understand and predict the defect behaviors near GBs. Here, we present a framework ...
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    Neural Network Direct Adaptive Control Strategy for a Class of Switched Nonlinear Systems 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2016:;volume( 138 ):;issue: 008:;page 81001
    Author(s): Yu, Lei; Jiang, Xiefu; Fei, Shumin; Huang, Jun; Yang, Gang; Qian, Wei
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper deals with the adaptive neural network (NN) switching control problem for a class of switched nonlinear systems. Radial basis function (RBF) NNs are utilized to approximate the unknown switching control law term ...
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