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Volumn 20, Issue 9, 2006, Pages 797-816

Application of hierarchical neural fuzzy models to modeling and control of a bioprocess

Author keywords

[No Author keywords available]

Indexed keywords

BIOTECHNOLOGY; FUZZY SETS; HIERARCHICAL SYSTEMS; LARGE SCALE SYSTEMS; MATHEMATICAL MODELS; PREDICTIVE CONTROL SYSTEMS;

EID: 33750335581     PISSN: 08839514     EISSN: 10876545     Source Type: Journal    
DOI: 10.1080/08839510600941379     Document Type: Article
Times cited : (6)

References (26)
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    • Andrietta, S. R. and F. Maugeri. 1994. Optimum design of a continuous fermentation unit of an industrial plant for alcohol production. In: Advances in Bioprocess Engineering, eds. E. Galindo and O. T. Ramírez, 47-52. Kluwer Academic Publishers.
    • (1994) Advances in Bioprocess Engineering , pp. 47-52
    • Andrietta, S.R.1    Maugeri, F.2
  • 7
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    • Multivariate functional interpolation and adaptive networks
    • Broomhead, D. S. and D. Lowe. 1988. Multivariate functional interpolation and adaptive networks. Complex Systems 2:321-355.
    • (1988) Complex Systems , vol.2 , pp. 321-355
    • Broomhead, D.S.1    Lowe, D.2
  • 11
    • 0034174131 scopus 로고    scopus 로고
    • A note on universal approximation by hierarchical fuzzy systems
    • Chen, W. and Wang, L.-X. 2000. A note on universal approximation by hierarchical fuzzy systems. Information Sciences 123:241-248.
    • (2000) Information Sciences , vol.123 , pp. 241-248
    • Chen, W.1    Wang, L.-X.2
  • 13
  • 19
    • 0033135677 scopus 로고    scopus 로고
    • Model predictive control: Past, present and future
    • Morari, M. and Lee, J. H. 1999. Model Predictive Control: Past, Present and Future. Computers and Chemical Engineering 23:667-682.
    • (1999) Computers and Chemical Engineering , vol.23 , pp. 667-682
    • Morari, M.1    Lee, J.H.2
  • 20
    • 22444456210 scopus 로고    scopus 로고
    • Improving adaptive fuzzy control performance by speeding up identification: Application to an electric furnace
    • Oliveira, J. V. and Lemos, J. M. 1998. Improving adaptive fuzzy control performance by speeding up identification: Application to an electric furnace. Journal of Intelligent and Fuzzy Systems 6: 297-314.
    • (1998) Journal of Intelligent and Fuzzy Systems , vol.6 , pp. 297-314
    • Oliveira, J.V.1    Lemos, J.M.2
  • 21
    • 0001315071 scopus 로고    scopus 로고
    • An overview of industrial model predictive control technology
    • eds. J. C. Kantor, C. E. Garcia, and B. Carnahan, volume 93 of AIChE Symposium Series
    • Qin, S. J. and Badgwell, T. A. 1997. An overview of industrial model predictive control technology. In: Chemical Process Control, eds. J. C. Kantor, C. E. Garcia, and B. Carnahan, volume 93 of AIChE Symposium Series, 232-256.
    • (1997) Chemical Process Control , pp. 232-256
    • Qin, S.J.1    Badgwell, T.A.2
  • 24
    • 0001263821 scopus 로고    scopus 로고
    • Universal approximation by hierarchical fuzzy systems
    • Wang, L.-X. 1998. Universal approximation by hierarchical fuzzy systems. Fuzzy Sets and Systems 93: 223-230.
    • (1998) Fuzzy Sets and Systems , vol.93 , pp. 223-230
    • Wang, L.-X.1
  • 25
    • 0033204912 scopus 로고    scopus 로고
    • Analysis and design of hierarchical fuzzy systems
    • Wang, L.-X. 1999. Analysis and design of hierarchical fuzzy systems. IEEE Trans. Fuzzy Systems 7:617-624.
    • (1999) IEEE Trans. Fuzzy Systems , vol.7 , pp. 617-624
    • Wang, L.-X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.