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Discrete-time Linear Tracking Control Based on Parallel System Theory

Junjie Gao

Junjie Gao

  • The School of Artificial Intelligence, University of Chinese Academy of SciencesBeijing, China
  • The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of SciencesBeijing, China
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Gao, Junjie
, 
Mingliang Chen

Mingliang Chen

The State Key Laboratory of Nuclear Power Safety Monitoring Technology and Equipment, China Nuclear Power Engineering Co. Ltd, ShenzhenGuangdong, China
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Chen, Mingliang
 et 
Qinglai Wei

Qinglai Wei

  • The School of Artificial Intelligence, University of Chinese Academy of SciencesBeijing, China
  • The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of SciencesBeijing, China
  • The State Key Laboratory of Nuclear Power Safety Monitoring Technology and Equipment, China Nuclear Power Engineering Co. Ltd, ShenzhenGuangdong, China
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Wei, Qinglai
  
01 nov. 2024
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Publié en ligne: 01 nov. 2024
Reçu: 04 juin 2024
Accepté: 23 sept. 2024
DOI: https://doi.org/10.2478/amns-2024-2986
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© 2024 Junjie Gao et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Gao, Junjie
The School of Artificial Intelligence, University of Chinese Academy of SciencesBeijing, China
The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of SciencesBeijing, China
Chen, Mingliang
The State Key Laboratory of Nuclear Power Safety Monitoring Technology and Equipment, China Nuclear Power Engineering Co. Ltd, ShenzhenGuangdong, China
Wei, Qinglai
The School of Artificial Intelligence, University of Chinese Academy of SciencesBeijing, China
The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of SciencesBeijing, China
The State Key Laboratory of Nuclear Power Safety Monitoring Technology and Equipment, China Nuclear Power Engineering Co. Ltd, ShenzhenGuangdong, China
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Anglais
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1 fois par an
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