We have over 12,000 students, from over 100 countries, within one of the safest campuses in the UK


93% of Lancaster students go into work or further study within six months of graduating

Home > Research > Publications & Outputs > Comment on ‘projection-based identification alg...
View graph of relations

« Back

Comment on ‘projection-based identification algorithm for grey-box continuous-time models'

Research output: Contribution to journalComment/debate


Journal publication date07/2014
JournalSystems and Control Letters
Number of pages3
Original languageEnglish


Although the paper by Maruta and Sugie (2013) makes an interesting contribution to the literature on the estimation of parameters in grey-box, continuous-time transfer function models, some of the simulation results are flawed and give a misleading impression of how the algorithm suggested by the authors compares with the well known and closely related SRIVC algorithm.