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    Many-Objective Optimal Design of Sliding Mode Controls 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2017:;volume( 139 ):;issue: 001:;page 14501
    Author(s): Sardahi, Yousef; Sun, Jian-Qiao
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a many-objective optimal (MOO) control design of an adaptive and robust sliding mode control (SMC). A second-order system is used as an example to demonstrate the design method. The robustness of the ...
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    Cluster Analysis and Switching Algorithm of Multi-Objective Optimal Control Design 

    Source: Journal of Vibration and Acoustics:;2017:;volume( 139 ):;issue: 001:;page 11002
    Author(s): Qin, Zhi-Chang; Sun, Jian-Qiao
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The multi-objective optimal control design usually generates hundreds or thousands of Pareto optimal solutions. How to assist a user to select an appropriate controller to implement is a postprocessing issue. In this paper, ...
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    Stationary Response Probability Distribution of SDOF Nonlinear Stochastic Systems 

    Source: Journal of Applied Mechanics:;2017:;volume( 084 ):;issue: 005:;page 51006
    Author(s): Chen, Lincong; Liu, Jun; Sun, Jian-Qiao
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: There has been no significant progress in developing new techniques for obtaining exact stationary probability density functions (PDFs) of nonlinear stochastic systems since the development of the method of generalized ...
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    Data-Driven Backstepping Control of Underactuated Mechanical Systems 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2019:;volume( 141 ):;issue: 009:;page 91003
    Author(s): Huang, Jingwen; Zhang, Tingting; Sun, Jian-Qiao
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper studies control problems of underactuated mechanical systems with model uncertainties. The control is designed with the method of backstepping. The first-order low-pass filters are used to estimate the unknown ...
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    An Alternating Efficient Approach for Determination of the NonStationary Responses of Strongly Nonlinear Systems Driven by Random Excitations 

    Source: Journal of Applied Mechanics:;2023:;volume( 090 ):;issue: 004:;page 41003
    Author(s): Qian, Jiamin;Chen, Lincong;Sun, JianQiao
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: An alternating efficient approach for predicting nonstationary response of randomly excited nonlinear systems is proposed by a combination of radial basis function neural network (RBFNN) and stochastic averaging method ...
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    Data-Driven Backstepping Control of Underactuated Mechanical Systems 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2019:;volume( 141 ):;issue: 009:;page 91003
    Author(s): Huang, Jingwen; Zhang, Tingting; Sun, Jian-Qiao
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: This paper studies control problems of underactuated mechanical systems with model uncertainties. The control is designed with the method of backstepping. The first-order low-pass filters are used to estimate the unknown ...
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    An Alternating Efficient Approach for Determination of the Non-Stationary Responses of Strongly Nonlinear Systems Driven by Random Excitations 

    Source: Journal of Applied Mechanics:;2023:;volume( 090 ):;issue: 004:;page 41003-1
    Author(s): Qian, Jiamin; Chen, Lincong; Sun, Jian-Qiao
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: An alternating efficient approach for predicting non-stationary response of randomly excited nonlinear systems is proposed by a combination of radial basis function neural network (RBFNN) and stochastic averaging method ...
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    Many-Objective Optimal and Robust Design of Proportional-Integral-Derivative Controls With a State Observer 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2017:;volume( 139 ):;issue: 002:;page 24502
    Author(s): Sardahi, Yousef; Sun, Jian-Qiao; Hernández, Carlos; Schütze, Oliver
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a many-objective optimization (MaOO) approach to design control and observer gains simultaneously. The many-objective optimization (MaOO) approach finds trade-offs between different nonagreeable design ...
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    Multi-Objective Optimization of Elastic Beams for Noise Reduction 

    Source: Journal of Vibration and Acoustics:;2017:;volume( 139 ):;issue: 005:;page 51014
    Author(s): He, Meng-Xin; Xiong, Fui-Rui; Sun, Jian-Qiao
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a study of multi-objective optimization of elastic beams with minimum weight and radiated sound power. The goal of this research is to discover the potentials to design multi-objective optimal elastic ...
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    Building Vibration Control by Active Mass Damper With Delayed Acceleration Feedback: Multi-Objective Optimal Design and Experimental Validation 

    Source: Journal of Vibration and Acoustics:;2018:;volume( 140 ):;issue: 004:;page 41002
    Author(s): Zheng, Yuan-Guang; Huang, Jing-Wen; Sun, Ya-Hui; Sun, Jian-Qiao
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The building structural vibration control by an active mass damper (AMD) with delayed acceleration feedback is studied. The control is designed with a multi-objective optimal approach. The stable region in a parameter space ...
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    DSpace software copyright © 2002-2015  DuraSpace
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