Nonlinear regression multivariate model for first order resonant periodic orbits and error analysis

被引:4
|
作者
Patel, Bhavika M. [1 ]
Pathak, Niraj M. [1 ]
Abouelmagd, Elbaz I. [2 ]
机构
[1] Dharmsinh Desai Univ, Fac Technol, Dept Math, 3870001, Nadiad, Gujarat, India
[2] Natl Res Inst Astron & Geophys NRIAG, Astron Dept, Celestial Mech & Space Dynam Res Grp CMSDRG, Cairo 11421, Helwan, Egypt
基金
中国国家自然科学基金;
关键词
Regression models; Poincare   surface of section; Periodic orbits; Oblateness; Interior and exterior resonance; RESTRICTED 3-BODY PROBLEM; STABILITY; ASTEROIDS; POINTS; BODIES; FRAME;
D O I
10.1016/j.pss.2022.105516
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
In this work, nonlinear multivariate regression models are developed under the structure of the circular restricted three-body problem (CRTBP) with and without perturbations for exterior and interior resonant periodic orbits of order one. The nonlinear multivariate regression can be used for simply symmetric retrograde periodic orbits, which are first-order resonant orbits. Three real systems are taken into consideration for the study namely, Saturn-Hyperion, Saturn-Titan and Earth-Moon with small, moderate and high mass ratio respectively. In the given three systems, the first primary is taken as an oblate spheroid. Also, coefficient of oblateness, Jacobi constant and mass ratio are taken as parameters. The nonlinear multivariate regression model is used to find the initial position of periodic orbit without constructing PSS for time saving and avoid complicated procedure. In this context, fourth-fifth degree polynomial obtained from regression gives the best possible predicted value for the initial condition of periodic orbit by assigning parameter value such as mass ratio, coefficient of the oblateness of first primary and Jacobi constant. Also, error analysis of these models for three real systems Saturn-Hyperion, Saturn-Titan and Earth-Moon is discussed in detail. From error analysis, it can be seen that these models give the best approximation for the initial position of the periodic orbits.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] First-order resonant in periodic orbits
    Patel, Bhavika M.
    Pathak, Niraj M.
    Abouelmagd, Elbaz I.
    INTERNATIONAL JOURNAL OF GEOMETRIC METHODS IN MODERN PHYSICS, 2021, 18 (01)
  • [2] Periodic Orbits of Nonlinear First-Order General Periodic Boundary Value Problem
    Wang, Feng
    Zhang, Fang
    Zhu, Hailong
    Li, Shengjun
    FILOMAT, 2016, 30 (13) : 3427 - 3434
  • [3] Stability analysis of first order resonant periodic orbit
    Patel, Bhavika M.
    Pathak, Niraj M.
    Abouelmagd, Elbaz I.
    ICARUS, 2022, 387
  • [4] Error Covariance Penalized Regression: A novel multivariate model combining penalized regression with multivariate error structure
    Allegrini, Franco
    Braga, Jez W. B.
    Moreira, Alessandro C. O.
    Olivieri, Alejandro C.
    ANALYTICA CHIMICA ACTA, 2018, 1011 : 20 - 27
  • [5] Analysis of exterior resonant periodic orbits in the photogravitational ERTBP
    Sheth, Dhwani
    Thomas, V. O.
    Pathak, Niraj M. M.
    Abouelmagd, Elbaz I. I.
    ARCHIVE OF APPLIED MECHANICS, 2023, 93 (05) : 2097 - 2112
  • [6] Analysis of exterior resonant periodic orbits in the photogravitational ERTBP
    Dhwani Sheth
    V. O. Thomas
    Niraj M. Pathak
    Elbaz I. Abouelmagd
    Archive of Applied Mechanics, 2023, 93 : 2097 - 2112
  • [7] Chaos, order, and periodic orbits in 3:1 resonant planetary dynamics
    Voyatzis, George
    ASTROPHYSICAL JOURNAL, 2008, 675 (01): : 802 - 816
  • [8] Synchronizing movements with the metronome: Nonlinear error correction and unstable periodic orbits
    Engbert, R
    Krampe, RT
    Kurths, J
    Kliegl, R
    BRAIN AND COGNITION, 2002, 48 (01) : 107 - 116
  • [9] The Length Error Compensation of AACMM with the Mothod of Multivariate Nonlinear Regression
    Lu, Yi
    Zhang, Peipei
    Zhao, Chenxin
    PROCEEDINGS FIRST INTERNATIONAL CONFERENCE ON ELECTRONICS INSTRUMENTATION & INFORMATION SYSTEMS (EIIS 2017), 2017, : 710 - 713
  • [10] Order Selection for General Expression of Nonlinear Autoregressive Model Based on Multivariate Stepwise Regression
    Shi, Jinfei
    Zhu, Songqing
    Chen, Ruwen
    4TH INTERNATIONAL CONFERENCE ON MECHANICAL, MATERIALS AND MANUFACTURING (ICMMM 2017), 2017, 272