Fractional-order two-input two-output process identification based on Haar operational matrix. Issue 7 (19th May 2021)

• Record Type: Journal Article
• Authors: Kothari, Kajal; Mehta, Utkal
• Is Part Of: International journal of systems science. Volume 52:Issue 7(2021)
• Page Start: 1373
• Page End: 1385
• Publication Date: 2021-05-19
• Subjects: TITO process -- fractional-order models -- identification -- Haar wavelet -- operational matrix; System analysis -- Periodicals; 003.3
• DOI: 10.1080/00207721.2020.1857503
• Languages: English
• ISSNs: 0020-7721

Abstract

Abstract : The identification of multi-input-multi-output process is always challenging due to significant loop interactions. This article proposes an identification technique for two-input-two-output processes with fractional order models via Haar wavelet feature. The presented technique can estimate independent four fractional single-pole time delay models without additional steps to decouple processes during identification. The method uses a well-known relay feedback test to produce the input-output data for measurements. Then, the Haar wavelet operational matrix based algebraic approach is utilised to identify the unknown process models with reduced complexity. Numerical analysis on various examples show the efficacy even in presence of noise and without additional filter or preprocessing of measured signals. The comparative study proves advantages of the presented approach.