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What is Efficient Multivariate Steady State Detection about?
This thesis presents an efficient online method for detecting steady states in multivariate systems, addressing the limitations of existing univariate approaches. The proposed method utilizes recursive calculations of covariance matrices and a likelihood ratio test to accurately identify steady states without the need for a moving window. The research demonstrates the effectiveness of this method through numerical studies and a real case application in the micro/nanoparticle dispersion process.
- Author
- Fernando
- Language
- EN