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Pattern-based identification for process control applications

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2 Author(s)
Kar-Ann Toh ; Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore ; Devanathan, R.

In this paper, a pattern-based approach to process identification is presented. The process identification problem is formulated using a nonlinear regression model. An algorithm is proposed based on the modified Gauss-Newton search for a least squares estimate, and the condition for the identification is derived. The algorithm is extended via the instrumental variable method to cater for possible correlation of residual error with a Jacobian function. Simulation results are presented to support the theoretical development for a typical range of industrial processes. The proposed method is also compared favorably with methods existing in the literature

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Control Systems Technology, IEEE Transactions on  (Volume:4 ,  Issue: 6 )