Parameter identification of Hammerstein–Wiener nonlinear systems with unknown time delay based on the linear variable weight particle swarm optimization-Reference-Cited by-同舟云学术

Parameter identification of Hammerstein–Wiener nonlinear systems with unknown time delay based on the linear variable weight particle swarm optimization

Published:2022-01 Issue: Volume:120 Page:89-98
ISSN:0019-0578
Container-title:ISA Transactions
language:en
Short-container-title:ISA Transactions

Author:

Li Junhong,Zong Tiancheng,Lu Guoping

Funder

Jiangsu Province Natural Science Foundation

National Natural Science Foundation of China

Six Talent Climax Foundation of Jiangsu

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference45 articles.

1. Backtracking search optimization heuristics for nonlinear Hammerstein controlled auto regressive auto regressive systems;Mehmood;ISA Trans,2019

2. Wiener model based GMVC design considering sensor noise and delay;Kazemi;ISA Trans,2019

3. Mx recursive parameter estimation for Hammerstein-Wiener systems using modified EKF algorithm;Yu;ISA Trans,2017

4. Maximum likelihood identification of dual-rate Hammerstein output error moving average system;Li;IET Control Theory Appl,2020

5. Recursive identification of multiple-input single-output fractional-order Hammerstein model with time delay;Moghaddam;Appl Soft Comput,2018

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