Wavelet-based on-line multiscale subspace identification of nuclear reactor

Vineet Vajpayee*, Siddhartha Mukhopadhyay, Akhilanand Pati Tiwari

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


This paper formulates a methodology of on-line subspace identification in wavelet-based multiresolution framework. The proposed strategy integrates proficiency of wavelets for multiscale data representation with the robust parameter estimation ability of subspace identification. The efficacy of proposed technique is demonstrated on point kinetics nuclear reactor taking the effects of temperature and xenon poisoning into consideration. The nonlinear process is approximated by multiple linear state-space models identified at significant scales. Time variation in the process has been taken into account by updating parameters with the arrival of new dataset. It is validated through simulations that the proposed scheme gives better output prediction as compared to other single-scale and multiscale techniques.

Original languageEnglish
Pages (from-to)347-352
Number of pages6
Issue number15
Publication statusPublished - 8 Aug 2018
Externally publishedYes
Event18th IFAC Symposium on System Identification - KTH Royal Institute of Technology, Stockholm, Sweden
Duration: 9 Jul 201811 Jul 2018


  • Nuclear Reactor
  • On-line Identification
  • Subspace Methods
  • Wavelets


Dive into the research topics of 'Wavelet-based on-line multiscale subspace identification of nuclear reactor'. Together they form a unique fingerprint.

Cite this