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Volumn 2, Issue , 2002, Pages 1032-1037

Fuzzy control of a neutralization process

Author keywords

Fuzzy control; Nonlinear process control; Real neutralization process

Indexed keywords

FUZZY SETS; MATHEMATICAL MODELS; NONLINEAR CONTROL SYSTEMS; PH EFFECTS; PROCESS CONTROL;

EID: 0036033538     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (12)
  • 2
    • 0029273891 scopus 로고
    • Modeling of pH for control
    • T. Gustafsson. Modeling of pH for control. Ind. Eng. Chem. Res., 34:820-827, 1995.
    • (1995) Ind. Eng. Chem. Res. , vol.34 , pp. 820-827
    • Gustafsson, T.1
  • 3
    • 0031140065 scopus 로고    scopus 로고
    • Adaptive input-output linearization of a pH neutralization process
    • M. Henson and D. Seborg. Adaptive input-output linearization of a pH neutralization process. Int. J. Adapt. Control and Signal Proc., 11:171-200, 1997.
    • (1997) Int. J. Adapt. Control and Signal Proc. , vol.11 , pp. 171-200
    • Henson, M.1    Seborg, D.2
  • 4
    • 0027539712 scopus 로고
    • Fuzzy control of pH using genetic algorithms
    • C. Karr and E. Gentry. Fuzzy control of pH using genetic algorithms. IEEE trans. on Fuzzy Systems, 1:46-53, 1993.
    • (1993) IEEE trans. on Fuzzy Systems , vol.1 , pp. 46-53
    • Karr, C.1    Gentry, E.2
  • 5
    • 0030258352 scopus 로고    scopus 로고
    • Nonlinear control of neutralization process by gain-scheduling trajectory control
    • K. Klatt and S. Engell. Nonlinear control of neutralization process by gain-scheduling trajectory control. Ind. Eng. Chem. Res., 35:3511-3518, 1996.
    • (1996) Ind. Eng. Chem. Res. , vol.35 , pp. 3511-3518
    • Klatt, K.1    Engell, S.2
  • 6
    • 0026981588 scopus 로고
    • A new fuzzy gain scheduling algorithm for process control
    • Chicago, IL
    • C. Ling and T. Edgard. A new fuzzy gain scheduling algorithm for process control. In Proc. ACC'92, pages 2284-2290, Chicago, IL., 1992.
    • (1992) Proc. ACC'92 , pp. 2284-2290
    • Ling, C.1    Edgard, T.2
  • 7
    • 58149319587 scopus 로고
    • Neural network modelling and control strategies for pH process
    • A. Loh, K. Looi, and K. Fong. Neural network modelling and control strategies for pH process. Journal of Process Control, 6:355-362, 1995.
    • (1995) Journal of Process Control , vol.6 , pp. 355-362
    • Loh, A.1    Looi, K.2    Fong, K.3
  • 8
    • 0030287873 scopus 로고    scopus 로고
    • Application of a model reference adaptative control system to pH control. Effects of lag and delay time
    • M. Palancar, J. Aragon, J. Miguens, and J. Torrecilla. Application of a model reference adaptative control system to pH control. effects of lag and delay time. Ind. Eng. Chem. Res., 35:4100-4110, 1996.
    • (1996) Ind. Eng. Chem. Res. , vol.35 , pp. 4100-4110
    • Palancar, M.1    Aragon, J.2    Miguens, J.3    Torrecilla, J.4
  • 9
    • 0028370110 scopus 로고
    • A multiregion fuzzy logic controller for nonlinear process control
    • S.J. Qin and G. Borders. A multiregion fuzzy logic controller for nonlinear process control. IEEE Trans. on Fuzzy Systems, 2:74-81, 1994.
    • (1994) IEEE Trans. on Fuzzy Systems , vol.2 , pp. 74-81
    • Qin, S.J.1    Borders, G.2
  • 10
    • 0005162449 scopus 로고    scopus 로고
    • L1 optimal regulation of a pH control plant
    • F. Tadeo, A. Holohan, and P. Vega. L1 optimal regulation of a pH control plant. Computers Chem. Eng., 22:459-466, 1998.
    • (1998) Computers Chem. Eng. , vol.22 , pp. 459-466
    • Tadeo, F.1    Holohan, A.2    Vega, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.