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Volumn 24, Issue 8, 2004, Pages 196-200

Diagonal recurrent neural network self-tuning PID control for superheated steam temperature system

Author keywords

Diagonal recurrent neural network(DRNN); Grey prediction; PID control; Self tuning; Superheated steam temperature system; Thermal power engineering

Indexed keywords

BOILERS; COMPUTER SIMULATION; RECURRENT NEURAL NETWORKS; ROBUSTNESS (CONTROL SYSTEMS); STEAM POWER PLANTS; TEMPERATURE CONTROL;

EID: 4644228526     PISSN: 02588013     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article
Times cited : (15)

References (14)
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  • 2
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    • Studies and applications of PFC-PID cascade control strategy in main steam temperature system
    • Wang Guoyu, Han Pu, Wang Dongfeng, et al Studies and applications of PFC-PID cascade control strategy in main steam temperature system [J]. Proceedings of the CSEE, 2002, 22(12): 50-55.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.