Optimal control for linear singular system using genetic programming

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@Article{Kumar:2007:AMC,
  author =       "A. Vincent Antony Kumar and P. Balasubramaniam",
  title =        "Optimal control for linear singular system using
                 genetic programming",
  journal =      "Applied Mathematics and Computation",
  year =         "2007",
  volume =       "192",
  number =       "1",
  pages =        "78--89",
  month =        "1 " # sep,
  keywords =     "genetic algorithms, genetic programming, Optimal
                 control, Linear singular system, Matrix Riccati
                 differential equation, RungeKutta method, Grammatical
                 evolution",
  DOI =          "doi:10.1016/j.amc.2007.02.122",
  abstract =     "In this paper, optimal control for linear singular
                 system with quadratic performance is obtained using
                 genetic programming (GP). The goal is to provide
                 optimal control with reduced calculus effort by
                 comparing the solutions of the matrix Riccati
                 differential equation (MRDE), obtained from well known
                 traditional RungeKutta (RK) method and genetic
                 programming method. To obtain the optimal control, the
                 solution of MRDE is computed based on grammatical
                 evolution. Accuracy of the solution of the GP approach
                 to the problem is qualitatively better. An illustrative
                 numerical example is presented for the proposed
                 method.",
}

Genetic Programming entries for A Vincent Antony Kumar P Balasubramaniam

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