메뉴 건너뛰기




Volumn 157, Issue 22, 2006, Pages 2983-3006

Control of pH processes using fuzzy modeling of titration curve

Author keywords

Fuzzy numbers; Hybrid modeling; Linguistic modeling; pH process control; Titration curve

Indexed keywords

FUZZY NUMBERS; HYBRID MODELING; LINGUISTIC MODELING; PH PROCESS CONTROL; TITRATION CURVES;

EID: 33749535866     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fss.2006.05.010     Document Type: Article
Times cited : (19)

References (25)
  • 1
    • 0035897754 scopus 로고    scopus 로고
    • Fuzzy model-based predictive control by instantaneous linearization
    • Abonyi J., Nagy L., and Szeifert F. Fuzzy model-based predictive control by instantaneous linearization. Fuzzy Sets and Systems 120 (2001) 109-122
    • (2001) Fuzzy Sets and Systems , vol.120 , pp. 109-122
    • Abonyi, J.1    Nagy, L.2    Szeifert, F.3
  • 3
    • 1342285572 scopus 로고    scopus 로고
    • Real-time implementation of multi-linear model-based control strategies-an application to a bench-scale pH neutralization reactor
    • Galan O., Romagnoli J.A., and Palazoglu A. Real-time implementation of multi-linear model-based control strategies-an application to a bench-scale pH neutralization reactor. J. Process Control 14 (2004) 571-579
    • (2004) J. Process Control , vol.14 , pp. 571-579
    • Galan, O.1    Romagnoli, J.A.2    Palazoglu, A.3
  • 4
    • 0012770021 scopus 로고    scopus 로고
    • A bibliography on nonlinear system identification
    • Giannakis G.B., and Serpedin E. A bibliography on nonlinear system identification. Signal Process. 81 (2001) 533-580
    • (2001) Signal Process. , vol.81 , pp. 533-580
    • Giannakis, G.B.1    Serpedin, E.2
  • 6
    • 0022662082 scopus 로고
    • Myths about pH and pH control
    • Gustafsson T.K., and Waller K.V. Myths about pH and pH control. AIChE J. 32 2 (1986) 335-337
    • (1986) AIChE J. , vol.32 , Issue.2 , pp. 335-337
    • Gustafsson, T.K.1    Waller, K.V.2
  • 7
    • 10844247894 scopus 로고    scopus 로고
    • Multiple fuzzy model-based temperature predictive control for HVAC systems
    • He M., Cai W.-J., and Li S.-Y. Multiple fuzzy model-based temperature predictive control for HVAC systems. Inform. Sci. 169 (2005) 155-174
    • (2005) Inform. Sci. , vol.169 , pp. 155-174
    • He, M.1    Cai, W.-J.2    Li, S.-Y.3
  • 8
    • 0036968220 scopus 로고    scopus 로고
    • Fuzzy modeling and control of biological processes
    • Horiuchi J.-I. Fuzzy modeling and control of biological processes. J. Biosci. Bioeng. 94 6 (2002) 574-578
    • (2002) J. Biosci. Bioeng. , vol.94 , Issue.6 , pp. 574-578
    • Horiuchi, J.-I.1
  • 9
    • 0030826834 scopus 로고    scopus 로고
    • Operating regime based process modeling and identification
    • Johansson T.A., and Foss B.A. Operating regime based process modeling and identification. Comput. Chem. Eng. 21 2 (1997) 159-176
    • (1997) Comput. Chem. Eng. , vol.21 , Issue.2 , pp. 159-176
    • Johansson, T.A.1    Foss, B.A.2
  • 11
    • 5144222836 scopus 로고    scopus 로고
    • Multi-model predictive control based on the Takagi-Sugeno fuzzy models: a case study
    • Li N., Li S.-Y., and Xi Y.-G. Multi-model predictive control based on the Takagi-Sugeno fuzzy models: a case study. Inform. Sci. 165 (2004) 247-263
    • (2004) Inform. Sci. , vol.165 , pp. 247-263
    • Li, N.1    Li, S.-Y.2    Xi, Y.-G.3
  • 12
    • 0029325388 scopus 로고
    • Adaptation and learning using multiple models, switching, and tuning
    • Narendra K.S., Balakrishnan J., and Ciliz M.K. Adaptation and learning using multiple models, switching, and tuning. IEEE Control Systems 15 3 (1995) 37-50
    • (1995) IEEE Control Systems , vol.15 , Issue.3 , pp. 37-50
    • Narendra, K.S.1    Balakrishnan, J.2    Ciliz, M.K.3
  • 13
    • 0030085373 scopus 로고    scopus 로고
    • Modeling pH neutralization processes using fuzzy-neural approaches
    • Nie J., Loh A.P., and Hang C.C. Modeling pH neutralization processes using fuzzy-neural approaches. Fuzzy Sets and Systems 78 (1996) 5-22
    • (1996) Fuzzy Sets and Systems , vol.78 , pp. 5-22
    • Nie, J.1    Loh, A.P.2    Hang, C.C.3
  • 15
    • 0347603385 scopus 로고    scopus 로고
    • Adaptive parameter estimator based on T-S fuzzy models and its applications to indirect adaptive fuzzy control design
    • Park C.W., and Park M. Adaptive parameter estimator based on T-S fuzzy models and its applications to indirect adaptive fuzzy control design. Inform. Sci. 159 (2004) 125-139
    • (2004) Inform. Sci. , vol.159 , pp. 125-139
    • Park, C.W.1    Park, M.2
  • 16
    • 0028496895 scopus 로고
    • Nonlinear rule based model predictive control of chemical processes
    • Peng C.-Y., and Jang S.-S. Nonlinear rule based model predictive control of chemical processes. Indust. Eng. Chem. Res. 33 9 (1994) 2140-2150
    • (1994) Indust. Eng. Chem. Res. , vol.33 , Issue.9 , pp. 2140-2150
    • Peng, C.-Y.1    Jang, S.-S.2
  • 17
    • 0033709203 scopus 로고    scopus 로고
    • Approximation of titration curves by artificial neural network and its application to pH control
    • Pishvaie M.R., and Shahrokhi M. Approximation of titration curves by artificial neural network and its application to pH control. Sci. Iranica 7 2 (2000) 82-91
    • (2000) Sci. Iranica , vol.7 , Issue.2 , pp. 82-91
    • Pishvaie, M.R.1    Shahrokhi, M.2
  • 18
    • 0034098717 scopus 로고    scopus 로고
    • pH control using the nonlinear multiple models, switching, and tuning approach
    • Pishvaie M.R., and Shahrokhi M. pH control using the nonlinear multiple models, switching, and tuning approach. Indust. Eng. Chem. Res. 39 5 (2000) 1311-1319
    • (2000) Indust. Eng. Chem. Res. , vol.39 , Issue.5 , pp. 1311-1319
    • Pishvaie, M.R.1    Shahrokhi, M.2
  • 19
    • 16644369975 scopus 로고    scopus 로고
    • Design of a pH control system using fuzzy non-uniform grid scheduling and evolutionary programming
    • Regunath S., and Kadirkamanathan V. Design of a pH control system using fuzzy non-uniform grid scheduling and evolutionary programming. Appl. Soft Comput. 1 (2001) 91-104
    • (2001) Appl. Soft Comput. , vol.1 , pp. 91-104
    • Regunath, S.1    Kadirkamanathan, V.2
  • 21
    • 0000083428 scopus 로고
    • pH control using a simple set point change
    • Sung S.W., and Lee I. pH control using a simple set point change. Indust. Eng. Chem. Res. 34 5 (1995) 1730-1734
    • (1995) Indust. Eng. Chem. Res. , vol.34 , Issue.5 , pp. 1730-1734
    • Sung, S.W.1    Lee, I.2
  • 22
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its applications to modeling and control
    • Takagi T., and Sugeno M. Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. Systems Man Cybernet. 15 (1985) 116-132
    • (1985) IEEE Trans. Systems Man Cybernet. , vol.15 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 23
    • 0036721815 scopus 로고    scopus 로고
    • Hybrid fuzzy modeling of chemical processes
    • Wang Y., Rong G., and Wang S. Hybrid fuzzy modeling of chemical processes. Fuzzy Sets and Systems 130 (2002) 265-275
    • (2002) Fuzzy Sets and Systems , vol.130 , pp. 265-275
    • Wang, Y.1    Rong, G.2    Wang, S.3
  • 24
    • 0026188522 scopus 로고
    • Nonlinear control of pH processes using the strong acid equivalent
    • Wright R.A., and Kravaris C. Nonlinear control of pH processes using the strong acid equivalent. Indust. Eng. Chem. Res. 30 7 (1991) 1561-1572
    • (1991) Indust. Eng. Chem. Res. , vol.30 , Issue.7 , pp. 1561-1572
    • Wright, R.A.1    Kravaris, C.2
  • 25
    • 0032115877 scopus 로고    scopus 로고
    • General Takagi-Sugeno fuzzy systems with simplified linear rule consequent are universal controllers, models and filters
    • Ying H. General Takagi-Sugeno fuzzy systems with simplified linear rule consequent are universal controllers, models and filters. J. Inform. Sci. 108 (1998) 91-107
    • (1998) J. Inform. Sci. , vol.108 , pp. 91-107
    • Ying, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.