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    Article

    Modeling and Simulation of Macroscopic Friction Coefficient of Brake Pair Considering Particle Flows and Interface Parameters

    In this paper, a three-dimensional model of the disc brake pair considering the particle flows is firstly established, and the finite element simulation analysis of the brake pair friction performance is carri...

    Shuaikang Liu, Daogao Wei, Bingzhan Zhang in Journal of Vibration Engineering & Technol… (2023)

  2. Article

    Correction: Modeling and Simulation of Macroscopic Friction Coefficient of Brake Pair Considering Particle Flows and Interface Parameters

    Shuaikang Liu, Daogao Wei, Bingzhan Zhang in Journal of Vibration Engineering & Technol… (2023)

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    Article

    A Leader–Follower Sequential Game Approach to Optimizing Parameters for Intelligent Vehicle Formation Control

    A vehicle formation control algorithm is presented to deal with the ineluctable uncertainty and guarantee the vehicle platoon Lyapunov stability (uniform boundedness, uniform ultimate boundedness, and string s...

    **aomin Zhao, Ye-Hwa Chen, Fangfang Dong in International Journal of Fuzzy Systems (2022)

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    Article

    Model-Based Control of Synchronizer Shifting Process for Trajectory Tracking Control

    A novel approach of the tracking control for synchronizer displacement is introduced in this paper. Based on modeling for the structure of synchronizer and shifting process, a shifting displacement tracking co...

    Yan Zhang, Han Zhao, Mingming Qiu in International Journal of Automotive Techno… (2020)

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    Chapter and Conference Paper

    Regularized REML for Estimation in Heteroscedastic Regression Models

    In this paper, we propose a regularized restricted maximum likelihood(REML) method for simultaneous variable selection in heteroscedastic regression models. Under certain regularity conditions, we establish th...

    Dengke Xu, Zhongzhan Zhang in Nonlinear Mathematics for Uncertainty and its Applications (2011)

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    Chapter and Conference Paper

    Variable Selection for Semiparametric Isotonic Regression Models

    In this paper, we propose a penalized constrained least squares method for variable selection in semiparametric isotonic regression model. Under certain regularity conditions, asymptotic properties of the prop...

    Jiang Du, Zhongzhan Zhang, Tianfa **e in Nonlinear Mathematics for Uncertainty and … (2011)