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Volumn 8, Issue 5, 1995, Pages 483-498

A fuzzy neural-network approach for nonlinear process control

Author keywords

fuzzy logic; internal model control; Neural networks; nonlinear control; process control

Indexed keywords

BACKPROPAGATION; CHEMICAL OPERATIONS; CHEMICAL REACTORS; COMPUTER SIMULATION; CONTROL EQUIPMENT; FUZZY SETS; INVERSE PROBLEMS; NONLINEAR CONTROL SYSTEMS; PH; PROCESS CONTROL; THREE TERM CONTROL SYSTEMS;

EID: 0029386748     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/0952-1976(95)00038-3     Document Type: Article
Times cited : (19)

References (21)
  • 3
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    • A new scheme combining neural feedforward control with model predictive control
    • (1992) AIChE J. , vol.38 , pp. 193-200
    • Lee1    Park2
  • 8
    • 0027007477 scopus 로고
    • Nonlinear internal model control strategy for neural network models
    • (1992) Computers Chem. Engng , vol.16 , pp. 1039-1057
    • Nahas1
  • 13
    • 0028369322 scopus 로고
    • Reinforcement structure/parameter learning for neural-network-based fuzzy logic control systems
    • (1994) IEEE Trans. Fuzzy Systems , vol.2 , pp. 46-63
    • Lin1    Lee2
  • 18
    • 84910900080 scopus 로고    scopus 로고
    • Aoyama A. et al. Control-affine fuzzy neural networks approach for nonlinear process control. J. Process Control in press.
  • 21
    • 0024914230 scopus 로고
    • Modeling and self-tuning control of a multivariable pH neutralization process. Part I: modeling and multiloop control
    • (1989) Proc. Am. Control Conf. , pp. 1822-1827
    • Hall1    Seborg2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.