The identification of neuro-fuzzy based MIMO Hammerstein model with separable input signals-Reference-Cited by-同舟云学术

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The identification of neuro-fuzzy based MIMO Hammerstein model with separable input signals

Published:2016-01 Issue: Volume:174 Page:530-541
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Jia Li,Li Xunlong,Chiu Min-Sen

Funder

National Natural Science Foundation of China

Shanghai Science Technology Commission

Shanghai Municipal Education Commission

Shanghai Talent Development Plan

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference44 articles.

1. Modelling of pH process using wavenet based Hammerstein model;Smith;J. Process Control,2007

2. Dual-mode predictive control algorithm for constrained Hammerstein systems;Zhang;Int. J. Control,2008

3. Identification of Hammerstein models using multivariate statistical tools;Lakshminarayanan;Chem. Eng. Sci.,1995

4. Identification of uncertain MIMO Wiener and Hammerstein models;Biagiola;Comput. Chem. Eng.,2011

5. Continuous-time Hammerstein nonlinear modeling applied to distillation;Bhandari;AIChE J.,2004

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1. A Novel Nonlinear Filter-Based Robust Adaptive Control Method for a Class of Nonlinear Discrete-Time Systems;Processes;2024-01-11

2. Modeling and identification for practical nonlinear process using neural fuzzy network–based Hammerstein system;Transactions of the Institute of Measurement and Control;2023-01-27

3. Identification of Multivariable Hammerstein CARMA System Using Special Test Signals;Journal of Dynamic Systems, Measurement, and Control;2022-09-27

4. Recursive Identification for Fractional Order Hammerstein Model Based on ADELS;Mathematical Problems in Engineering;2021-02-23

5. Hammerstein modeling and hybrid control of force and position for a novel integration of actuating and sensing ionic polymer metal composite gripper;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2020-10-04

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