Regularised estimation for ARMAX process with measurements subject to outliers-Reference-Cited by-同舟云学术

Regularised estimation for ARMAX process with measurements subject to outliers

Published:2018-05 Issue:7 Volume:12 Page:865-874
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Yin Le¹²^ORCID,Liu Shuo¹³,Gao Hui⁴

Affiliation:

1. Berkeley Education Alliance for Research in Singapore1 Create WaySingapore

2. School of Electrical and Electronic Engineering, Nanyang Technological University50 Nanyang AvenueSingapore

3. Department of Electrical and Computer EngineeringNational University of Singapore21 Lower Kent Ridge RoadSingapore

4. School of Automation, Chongqing UniversityChongqingPeople's Republic of China

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.2017.1204

Reference68 articles.

1. Constrained generalised minimum variance controller design using projection‐based recurrent neural network;Toshani H.;IET Control Theory Appl.,2016

2. JørgensenJ.B.HuusomJ.K. andRawlingsJ.B.: ‘Finite horizon MPC for systems in innovation form’.IEEE 2011 50th IEEE Conf. Decision and Control and European Control Conf. 2011 pp.1896–1903

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