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Volumn 78, Issue 1, 1996, Pages 5-22

Modeling pH neutralization processes using fuzzy-neural approaches

Author keywords

Fuzzy modeling; Fuzzy neural systems; Neural networks; pH nonlinear process; Process control

Indexed keywords

ALGORITHMS; FUZZY CONTROL; FUZZY SETS; IDENTIFICATION (CONTROL SYSTEMS); KNOWLEDGE BASED SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; ONLINE SYSTEMS; PH; PROCESS CONTROL; VECTOR QUANTIZATION;

EID: 0030085373     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/0165-0114(95)00118-2     Document Type: Article
Times cited : (68)

References (20)
  • 2
    • 0018542234 scopus 로고
    • Self-tuning control of a pH-neutralization process
    • F. Buchholt and M. Kummel, Self-tuning control of a pH-neutralization process, Automatica 15 (1979) 665-671.
    • (1979) Automatica , vol.15 , pp. 665-671
    • Buchholt, F.1    Kummel, M.2
  • 3
    • 0020602306 scopus 로고
    • Dynamic modeling and reaction invariant control of pH
    • T.K. Gustafsson and K.V. Waller, Dynamic modeling and reaction invariant control of pH. Chem. Engry. Sci. 38 (1983) 389-398.
    • (1983) Chem. Engry. Sci. , vol.38 , pp. 389-398
    • Gustafsson, T.K.1    Waller, K.V.2
  • 4
    • 0024914230 scopus 로고
    • Modeling and self-tuning control of a multivariable pH neutralization process
    • R.C. Hall and D.E. Seborg, Modeling and self-tuning control of a multivariable pH neutralization process, Proc. Amer. Control Conf. (1989) 1822-1827.
    • (1989) Proc. Amer. Control Conf. , pp. 1822-1827
    • Hall, R.C.1    Seborg, D.E.2
  • 5
    • 0023515080 scopus 로고
    • Counterpropagation network
    • R. Hecht-Nielsen, Counterpropagation network, Appl. Optics 26 (1987) 4979-4984.
    • (1987) Appl. Optics , vol.26 , pp. 4979-4984
    • Hecht-Nielsen, R.1
  • 6
    • 0000945080 scopus 로고
    • Critique of exact linearization strategies for process control
    • M.A. Henson and D.E. Serborg, Critique of exact linearization strategies for process control, J. Proc. Control 1 (1991) 122-139.
    • (1991) J. Proc. Control , vol.1 , pp. 122-139
    • Henson, M.A.1    Serborg, D.E.2
  • 7
    • 0027539712 scopus 로고
    • Fuzzy control of pH using genetic algorithms
    • C.L. Karr and E.J. Gentry. Fuzzy control of pH using genetic algorithms, IEEE Trans. Fuzzy Systems 1 (1993) 46-53.
    • (1993) IEEE Trans. Fuzzy Systems , vol.1 , pp. 46-53
    • Karr, C.L.1    Gentry, E.J.2
  • 10
    • 84954939611 scopus 로고
    • A unified real time approximate reasoning approach for use in intelligent control. Part 1: Theoretical development
    • D.A. Linkens and J. Nie, A unified real time approximate reasoning approach for use in intelligent control. Part 1: theoretical development, Internat. J. Control 56 (1992) 347-364.
    • (1992) Internat. J. Control , vol.56 , pp. 347-364
    • Linkens, D.A.1    Nie, J.2
  • 15
    • 85030005476 scopus 로고    scopus 로고
    • Constructing fuzzy model by self-organizing CPN network
    • J. Nie, Constructing fuzzy model by self-organizing CPN network, to appear in IEEE Trans. Systems Man and Cybernet.
    • IEEE Trans. Systems Man and Cybernet
    • Nie, J.1
  • 16
    • 0000330562 scopus 로고
    • Neural network-based approximate reasoning: Principles and implementation
    • J. Nie and D.A. Linkens, Neural network-based approximate reasoning: principles and implementation, Internat. J. Control 56 (1992) 399-414.
    • (1992) Internat. J. Control , vol.56 , pp. 399-414
    • Nie, J.1    Linkens, D.A.2
  • 18
    • 0023295765 scopus 로고
    • Comparison of linear and nonlinear adaptive control of a pH-process
    • G.A. Pajunen, Comparison of linear and nonlinear adaptive control of a pH-process, IEEE Control Systems Magazine (1987) 39-44.
    • (1987) IEEE Control Systems Magazine , pp. 39-44
    • Pajunen, G.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.