Gradient-based iterative identification for MISO Wiener nonlinear systems: Application to a glutamate fermentation process-Reference-Cited by-同舟云学术

Gradient-based iterative identification for MISO Wiener nonlinear systems: Application to a glutamate fermentation process

Published:2013-08 Issue:8 Volume:26 Page:886-892
ISSN:0893-9659
Container-title:Applied Mathematics Letters
language:en
Short-container-title:Applied Mathematics Letters

Author:

Zhou Lincheng,Li Xiangli,Pan Feng

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference59 articles.

1. System Identification–New Theory and Methods;Ding,2013

2. Least squares based iterative identification algorithm for Hammerstein nonlinear systems with non-uniform sampling;Li;International Journal of Computer Mathematics,2013

3. Multistage least squares based iterative estimation for feedback nonlinear systems with moving average noises using the hierarchical identification principle;Hu;Nonlinear Dynamics,2013

4. Gradient-based and least-squares-based iterative algorithms for Hammerstein systems using the hierarchical identification principle;Ding;IET Control Theory & Applications,2013

5. Generalised additive modelling approach to the fermentation process of glutamate;Liu;Bioresource Technology,2011

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