A support vector regression method for reducing the high-order systems to first-order plus time-delay forms


ORTAÇ KABAOĞLU R.

Istanbul University - Journal of Electrical and Electronics Engineering, cilt.11, sa.1, ss.1305-1309, 2011 (SCI Expanded İndekslerine Giren Dergi) identifier

  • Cilt numarası: 11 Konu: 1
  • Basım Tarihi: 2011
  • Dergi Adı: Istanbul University - Journal of Electrical and Electronics Engineering
  • Sayfa Sayıları: ss.1305-1309

Özet

In this paper, a novel method for reducing the high-order systems to first-order plus time-delay forms is introduced. For this purpose Support Vector Machines, which became a popular learning algorithm, is employed. Three parameters of the first-order plus time-delay forms are estimated by three parallel support vector regression machines. Satisfactory performance is obtained at the simulations.