A new adaptive identification framework for nonlinear multi-input multi-output systems under colored noise-Reference-Cited by-同舟云学术

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A new adaptive identification framework for nonlinear multi-input multi-output systems under colored noise

Published:2022-03 Issue: Volume:103 Page:105-121
ISSN:0307-904X
Container-title:Applied Mathematical Modelling
language:en
Short-container-title:Applied Mathematical Modelling

Author:

Li Linwei^ORCID,Zhang Huanlong,Zhang Jie,Ren Xuemei

Publisher

Elsevier BV

Reference37 articles.

1. Adaptive control for a class of multi-input multi-output plants with arbitrary relative degree;Qu;IEEE Trans. Autom. Control,2020

2. Disturbance-observer-based fuzzy terminal sliding mode control for MIMO uncertain nonlinear systems;Vahidi-Moghaddam;Appl. Math. Model.,2019

3. Modeling of multivariable fuzzy systems by semitensor product;Lyu;IEEE Trans. Fuzzy Syst.,2020

4. Combined MRAC for unknown MIMO LTI systems with parameter convergence;Roy;IEEE Trans. Autom. Control,2018

5. Identification of multivariable dynamic errors-in-variables system with arbitrary inputs;Zhang;Automatica,2017

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2. Learning-Based Adaptive Estimation with Guaranteed Prescribed Performance for Nonlinear Sandwich System Subject to the Quantised Sensor;Circuits, Systems, and Signal Processing;2024-04-22

3. Model transformation based distributed stochastic gradient algorithm for multivariate output-error systems;International Journal of Systems Science;2023-02-21

4. Active Fault Detection Based on Auxiliary Input Signal Design;IEEE Access;2023

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