Parameter learning for the nonlinear system described by Hammerstein model with output disturbance
Author:
Affiliation:
1. College of Electrical and Information Engineering Jiangsu University of Technology Changzhou China
2. College of Information, Mechanical and Electrical Engineering Shanghai Normal University Shanghai China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Jiangsu Province
Publisher
Wiley
Subject
Control and Systems Engineering,Electrical and Electronic Engineering,Mathematics (miscellaneous)
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/asjc.2829
Reference37 articles.
1. Type-2 fuzzy model based controller design for neutralization processes
2. Modeling and identification of heat exchanger process using least squares support vector machines
3. An accurate digital baseband predistorter design for linearization of RF power amplifiers by a genetic algorithm based Hammerstein structure
4. Modeling of a distillation column based on NARMAX and Hammerstein models
5. R.ValarmathiandM.Guruprasath System identification for a MIMO process 2017 International Conference on Computation of Power Energy Information and Communication 2017 pp.435–441.
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