Abstract
Considering the nonlinearity and gradient parameters of pH neutralization process, this paper concerned on the modeling and identification of pH neutralization process. As the approximate three sections linear characteristic of titration curve in the pH neutralization process, we discussed the use of T-S fuzzy model for modelling the pH neutralization process. Due to its gradient parameters, we identified the parameters of the system using its input-output data with the method of recursive least square with fading factor algorithm (RLS-RFF). Simulations including recursive least square (RLS) and RLS-RFF have shown the efficiency of the method, and RLS-RFF has better identification accuracy and adaptive ability in the reaction process of gradient parameters.
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Chen, X., Chen, J., Lei, B. (2011). Identification of pH Neutralization Process Based on the T-S Fuzzy Model. In: Lin, S., Huang, X. (eds) Advances in Computer Science, Environment, Ecoinformatics, and Education. CSEE 2011. Communications in Computer and Information Science, vol 215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23324-1_93
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DOI: https://doi.org/10.1007/978-3-642-23324-1_93
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23323-4
Online ISBN: 978-3-642-23324-1
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