Force identification of dynamic systems using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{YaowenWYang:2005:IJNME,
  author =       "Yaowen W. Yang and Chao Wang and Chee Kiong Soh",
  title =        "Force identification of dynamic systems using genetic
                 programming",
  journal =      "International Journal for Numerical Methods in
                 Engineering",
  year =         "2005",
  volume =       "63",
  number =       "9",
  pages =        "1288--1312",
  keywords =     "genetic algorithms, genetic programming, dynamic
                 system, excitation force, dynamic response, force
                 identification",
  DOI =          "doi:10.1002/nme.1323",
  abstract =     "One obvious limitation of the traditional force
                 identification techniques is that they are unable to
                 obtain the explicit expression of the force. Moreover,
                 some techniques need both the displacement and velocity
                 data of all freedoms, and some need the Markov
                 parameters from numerical calculation or experimental
                 test before the force identification can be carried
                 out. This paper presents a genetic programming (GP)
                 based method for excitation force identification of
                 dynamic systems to overcome these traditional methods'
                 disadvantages. GP is employed as a search and
                 optimisation method to obtain the optimal, if not the
                 best, force expression from the known dynamic response.
                 One obvious merit of the proposed method is that it can
                 obtain the explicit expression of the unknown force.
                 Another advantage is that it only needs the dynamic
                 response data at one point, i.e. displacement or
                 velocity or acceleration of one freedom. Illustrative
                 examples demonstrate that the GP based method is able
                 to identify the excitation force of a single-degree, a
                 three-degree dynamic systems and a frame structure,
                 depicting its potential for force forecast problems.",
  notes =        "http://www3.interscience.wiley.com/cgi-bin/abstract/110432712/ABSTRACT

                 Division of Structures and Mechanics, School of Civil
                 and Environmental Engineering, Nanyang Technological
                 University, Nanyang Avenue, Singapore 639798,
                 Singapore",
}

Genetic Programming entries for Yaowen Yang Chao Wang Chee Kiong Soh

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