Gradient‐based and least‐squares‐based iterative algorithms for Hammerstein systems using the hierarchical identification principle-Reference-Cited by-同舟云学术

Gradient‐based and least‐squares‐based iterative algorithms for Hammerstein systems using the hierarchical identification principle

Published:2013-01 Issue:2 Volume:7 Page:176-184
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Ding Feng¹²,Liu Xinggao³,Chu Jian³

Affiliation:

1. Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan UniversityWuxi214122People's Republic of China

2. Control Science and Engineering Research Center, Jiangnan UniversityWuxi214122People's Republic of China

3. State Key Laboratory of Industrial Control TechnologyControl DepartmentZhejiang UniversityHangzhou310027People's Republic of China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2012.0313

Reference51 articles.

1. Least squares-based recursive and iterative estimation for output error moving average systems using data filtering

2. Modelling and identification for non-uniformly periodically sampled-data systems

3. Robust discrete-time sliding mode control for uncertain systems with time-varying state delay

4. Gradient-based iterative parameter estimation for Box–Jenkins systems

5. Gradient-based and least-squares-based iterative estimation algorithms for multi-input multi-output systems

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