Patents by Inventor Shujun Tan

Shujun Tan has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12242962
    Abstract: An optimal rescue orbital elements online decision-making method based on RBFNN for launch vehicles under thrust drop fault includes establishing the flight dynamic equations of launch vehicles in the second-stage ascending phase in the geocentric inertial coordinate system, to construct a series of optimization problems of maximum semi-major axis of circular orbit under the thrust drop fault. The method further includes using the adaptive pseudo-spectrum method to solve the optimization problems of maximum semi-major, and using the maximum and minimum method to normalize the sample data to [?1, 1], using the orthogonal least square method to select the data center of the radial basis function neural network (RBFNN), where the Gaussian function is selected as the radial basis function, and the RBFNN is trained offline to establish a nonlinear mapping relationship from the fault states to the optimal rescue orbital elements.
    Type: Grant
    Filed: May 26, 2021
    Date of Patent: March 4, 2025
    Assignee: DALIAN UNIVERSITY OF TECHNOLOGY
    Inventors: Shujun Tan, Xiao He, Liyong Zhang, Zhigang Wu
  • Publication number: 20220147820
    Abstract: An optimal rescue orbital elements online decision-making method based on RBFNN for launch vehicles under thrust drop fault includes establishing the flight dynamic equations of launch vehicles in the second-stage ascending phase in the geocentric inertial coordinate system, to construct a series of optimization problems of maximum semi-major axis of circular orbit under the thrust drop fault. The method further includes using the adaptive pseudo-spectrum method to solve the optimization problems of maximum semi-major, and using the maximum and minimum method to normalize the sample data to [?1, 1], using the orthogonal least square method to select the data center of the radial basis function neural network (RBFNN), where the Gaussian function is selected as the radial basis function, and the RBFNN is trained offline to establish a nonlinear mapping relationship from the fault states to the optimal rescue orbital elements.
    Type: Application
    Filed: May 26, 2021
    Publication date: May 12, 2022
    Inventors: Shujun TAN, Xiao HE, Liyong ZHANG, Zhigang WU
  • Publication number: 20110030708
    Abstract: An absorptive polymer, which is an aqueous emulsion made from copolymerization of neutral unsaturated monomers, unsaturated lipophilic monomers and unsaturated hydrophilic monomers, in the proportion of 50:26-37:14-25 in weight. A compound fiber comprising cigarette filter rod fiber as core and surface layer absorptive polymer; the cigarette filter rod fiber is polypropylene fiber or cellulose acetate fiber; lipophilic groups of the absorptive polymer are attached to polypropylene fiber of cigarette filter rod.
    Type: Application
    Filed: October 8, 2010
    Publication date: February 10, 2011
    Applicant: Bright Chemical Science & Technology Development Center, Beijing
    Inventors: JIANMIN CUI, SHUJUN TAN
  • Publication number: 20060225752
    Abstract: An improved cigarette filter material/method is provided, especially a compound fiber filter. Cylindrical, with paper tube, filled with tow of interconnected compound fibers in parallel with the cylindrical axis. Said compound fiber comprises a fiber core with a surface layer made from adsorptive materials on. The adsorptive material and the improved filter can effectively adsorb harmful substances from tobacco smoke, and not affect the cigarette taste or flavor.
    Type: Application
    Filed: April 5, 2006
    Publication date: October 12, 2006
    Inventors: Jianmin Cui, Rongbiao Zhang, Jianqiang Xu, Shujun Tan