A CON: EVO Reduction Technique for Uncertain Interval Systems Using Differential Evolution Algorithm

Autores/as

  • Devender Kumar Saini Research Scholar, Electrical Engineering department, IIT Roorkee, India
  • Dr. Rajendra Prasad

Palabras clave:

Uncertain interval systems, Differential evolution, Reduced order modeling, Integral square error.

Resumen

  In this paper advantage of evolutionary technique is used in combination with a reliable conventional technique to reduce the dimension of high order uncertain linear interval systems into low order interval systems. The proposed technique is depicted by a name CON: EVO, which stands for combination of conventional & evolutionary technique. In evolutionary method recently proposed Differential Evolution (DE) optimization technique is used with and without powerful conventional Routh approximation technique to minimize the integral square error (ISE) between transient responses of original higher order model and reduced order model pertaining to a unit step input. The algorithm is simple, rugged and computer oriented. It is shown that the algorithm has several advantages, e.g. the reduced order models retain the steady-state value and stability of the original system. The proposed method is illustrated through a numerical example and the results of proposed algorithms are compared with already presented Genetic algorithm method and available  Routh approximation conventional technique for interval system proposed by Bandyopadhyay.Keywords: Uncertain interval systems, Differential evolution, Reduced order modeling, Integral square error. 

Biografía del autor/a

  • Devender Kumar Saini, Research Scholar, Electrical Engineering department, IIT Roorkee, India
    Research Scholar, Electrical Engineering department, IIT Roorkee, India

Descargas

Publicado

2012-02-15

Número

Vol. 2 Núm. 2-3 (2011)

Sección

Research Articles

Licencia

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