TY - JOUR ID - 3691 TI - Nonlinearity Assessment of Chemical Processes JO - Scientia Iranica JA - SCI LA - en SN - 1026-3098 AU - Fakhroleslam, Mohammad AU - Bozorgmehry Boozarjomehry, Ramin AU - Pazhooh, Faramarz AD - Department of Chemical and Petroleum Engineering, Sharif University of Technology, P.O. Box 11365-9465, Tehran, Iran AD - Department of Chemical Engineering, University of Sistan and Baluchestan, P.O. Box 98164-161, Zahedan, Iran Y1 - 2015 PY - 2015 VL - 22 IS - 3 SP - 967 EP - 980 KW - Nonlinear systems KW - Nonlinearity measure KW - Chemical processes KW - System identi cation DO - N2 - One of the most important issues in controller design and analysis of a nonlinear system is the degree of nonlinearity in the system. Helbig et al. proposed a method in which the system along with a linear reference model (which is the sum of a couple of rst order transfer functions) are stimulated with a set of input patterns. The outputs of these systems are then compared and the nonlinearity measure of the system is obtained as normalized di erence between the outputs of these two systems. In this paper, the linear reference model is replaced with two simpler linear models. The proposed method has been used for the assessment of the nonlinearity measure of various nonlinear systems that are used as standard benchmarks by the nonlinear process control research community. The results show that, despite the use of this simpler model with less parameters the calculated nonlinearity measure is almost similar to the one obtained by Helbig's method. Furthermore, the nonlinearity measure obtained by the proposed method can be calculated very much faster. UR - https://scientiairanica.sharif.edu/article_3691.html L1 - https://scientiairanica.sharif.edu/article_3691_6544c38060061d5dcad350a8a84852a3.pdf ER -