A new computer algorithm approach to identification of continuous-time batch bioreactor model parameters

Ertunc S., Akay B., Hapoglu H., Alpbaz M.

COMPUTATIONAL SCIENCE - ICCS 2005, PT 1, PROCEEDINGS, cilt.3514, ss.147-154, 2005 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 3514
  • Basım Tarihi: 2005
  • Dergi Adı: COMPUTATIONAL SCIENCE - ICCS 2005, PT 1, PROCEEDINGS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED)
  • Sayfa Sayıları: ss.147-154
  • Ankara Üniversitesi Adresli: Evet

Özet

The performance of a continuous-time Recursive Least Squares (CRLS) and a discrete-time Recursive Least Squares (DRLS) algorithms are examined for the growth medium temperature control of a cooling batch bioreactor in which Saccharomyces cerevisiae growth at aerobic condition by using Continuous-time Generalised Predictive Control (CGPC) algorithm. MATLAB programme was utilized for recursive parameter identification algorithms (CRLS and DRLS). The success or otherwise of these algorithms are estimated using parameter norm criterion for the various order of models and several input signals. There is a considerable improvement of identification algorithms with the reduced order of models. It has been shown that the performance of a DRLS algorithm is as successful as the other recursive parameter identification of a continuous-time system model.