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Volumn 20, Issue 16, 2010, Pages 1817-1835

Nonlinear predictive control of smooth nonlinear systems based on Volterra models. Application to a pilot plant

Author keywords

nonlinear predictive control; process control; Volterra models

Indexed keywords

CONTROL NONLINEARITIES; COPYRIGHTS; DISTURBANCE REJECTION; ITERATIVE METHODS; LINEAR CONTROL SYSTEMS; MODEL PREDICTIVE CONTROL; NONLINEAR PROGRAMMING; NONLINEAR SYSTEMS; PILOT PLANTS; PREDICTIVE CONTROL SYSTEMS;

EID: 78751602227     PISSN: 10498923     EISSN: 10991239     Source Type: Journal    
DOI: 10.1002/rnc.1549     Document Type: Article
Times cited : (17)

References (25)
  • 2
    • 0041802770 scopus 로고    scopus 로고
    • A survey of industrial model predictive control technology
    • Qin SJ, Badgwell TA. A survey of industrial model predictive control technology. Control Engineering Practice 2003; 11(7):733–764.
    • (2003) Control Engineering Practice , vol.11 , Issue.7 , pp. 733-764
    • Qin, S.J.1    Badgwell, T.A.2
  • 3
    • 0013068246 scopus 로고    scopus 로고
    • Modelling and identification for nonlinear model predictive control: Requirements, current status, and future research needs
    • Allgöwer F, Zheng A (eds). Birkhäuser: Basel
    • Lee JH. Modelling and identification for nonlinear model predictive control: requirements, current status, and future research needs. In Nonlinear Predictive Control, Allgöwer F, Zheng A (eds). Birkhäuser: Basel, 2000; 269–293.
    • (2000) Nonlinear Predictive Control , pp. 269293
    • Lee, J.H.1
  • 5
    • 0008757546 scopus 로고    scopus 로고
    • Sub-optimal nonlinear predictive and adaptive control based on the parametric Volterra model
    • Haber R, Bars R, Lengyel O. Sub-optimal nonlinear predictive and adaptive control based on the parametric Volterra model. Applied Mathematics and Computer Science 1999; 9(1): 161–173.
    • (1999) Applied Mathematics and Computer Science , vol.9 , Issue.1 , pp. 161173
    • Haber, R.1    Bars, R.2    Lengyel, O.3
  • 6
    • 0012065181 scopus 로고    scopus 로고
    • Three extended horizon adaptive nonlinear predictive control schemes based on the parametric Volterra model
    • Karlsruhe, Germany
    • Haber R, Bars R, Lengyel O. Three extended horizon adaptive nonlinear predictive control schemes based on the parametric Volterra model. Proceedings of the European Control Conference, Paper F625, Karlsruhe, Germany, 1999.
    • (1999) Proceedings of the European Control Conference, Paper F625
    • Haber, R.1    Bars, R.2    Lengyel, O.3
  • 7
    • 58349083459 scopus 로고    scopus 로고
    • Nonlinear model predictive control of a pH neutralization process based on Wiener–Laguerre model
    • Mahmoodi S, Poshtan J, Jahed-Motlagh MR, Montazeri A. Nonlinear model predictive control of a pH neutralization process based on Wiener–Laguerre model. Chemical Engineering Journal 2009; 146(3):328–337.
    • (2009) Chemical Engineering Journal , vol.146 , Issue.3 , pp. 328-337
    • Mahmoodi, S.1    Poshtan, J.2    Jahed-Motlagh, M.R.3    Montazeri, A.4
  • 8
    • 0001577732 scopus 로고    scopus 로고
    • An overview of industrial model predictive control applications
    • Allgöwer F, Zheng A (eds). Birkhäuser: Basel
    • Qin SJ, Badgwell TA. An overview of industrial model predictive control applications. In Nonlinear Predictive Control, Allgöwer F, Zheng A (eds). Birkhäuser: Basel, 2000; 369–392.
    • (2000) Nonlinear Predictive Control , pp. 369392
    • Qin, S.J.1    Badgwell, T.A.2
  • 9
    • 0003808336 scopus 로고    scopus 로고
    • Nonlinear System Identification— Input/Output Modelling Approach
    • Kluwer Academic Publisher: Dorchrecht, Netherlands
    • Haber R, Keviczky L. Nonlinear System Identification— Input/Output Modelling Approach. Part 1: Parameter Estimation, Part 2: Structure Identification. Kluwer Academic Publisher: Dorchrecht, Netherlands, 1999.
    • (1999) Part 1: Parameter Estimation, Part 2: Structure Identification
    • Haber, R.1    Keviczky, L.2
  • 10
    • 85128704413 scopus 로고    scopus 로고
    • Nonlinear model reduction for optimization based control of transient chemical processes
    • Marquardt W. Nonlinear model reduction for optimization based control of transient chemical processes. AIChE Symposium Series 2001; 98(326):12–42.
    • (2001) Aiche Symposium Series , vol.98 , Issue.326 , pp. 1242
    • Marquardt, W.1
  • 11
    • 34547149534 scopus 로고    scopus 로고
    • Nonlinear model predictive control of multivariable processes using block-structured models
    • Harnischmacher G, Marquardt W. Nonlinear model predictive control of multivariable processes using block-structured models. Control Engineering Practice 2007; 15(10): 1238–1256.
    • (2007) Control Engineering Practice , vol.15 , Issue.10 , pp. 1238-1256
    • Harnischmacher, G.1    Marquardt, W.2
  • 12
    • 0022150259 scopus 로고
    • Fading memory and the problem of approximating nonlinear operators with volterra series
    • CAS
    • Boyd S, Chau LO. Fading memory and the problem of approximating nonlinear operators with volterra series. IEEE Transactions on Circuits and Systems 1985; CAS-32(11): 1150–1161.
    • (1985) IEEE Transactions on Circuits and Systems , vol.32 , Issue.11 , pp. 11501161
    • Boyd, S.1    Chau, L.O.2
  • 13
    • 84891576377 scopus 로고
    • Transformation of the absolute descriptions of linear and non-linear processes to their incremental forms
    • Haber R. Transformation of the absolute descriptions of linear and non-linear processes to their incremental forms. International Journal of Systems Science 1992; 23(6): 935–955.
    • (1992) International Journal of Systems Science , vol.23 , Issue.6 , pp. 935-955
    • Haber, R.1
  • 14
    • 0008775680 scopus 로고
    • Predictive control of nonlinear dynamic processes
    • Haber R. Predictive control of nonlinear dynamic processes. Applied Mathematics and Computation 1995; 70: 169–184.
    • (1995) Applied Mathematics and Computation , vol.70 , pp. 169-184
    • Haber, R.1
  • 15
    • 0030233075 scopus 로고    scopus 로고
    • Nonlinear model predictive control of a simulated multivariable polymerization reactor using second-order Volterra models
    • Maner BR, Doyle FJ, Ogunnaike BA, Pearson RK. Nonlinear model predictive control of a simulated multivariable polymerization reactor using second-order Volterra models. Automatica 1996; 32(9):1285–1301.
    • (1996) Automatica , vol.32 , Issue.9 , pp. 1285-1301
    • Maner, B.R.1    Doyle, F.J.2    Ogunnaike, B.A.3    Pearson, R.K.4
  • 16
    • 0029343744 scopus 로고
    • An efficient approximation to the quadratic Volterra filter and its application in real-time loudspeaker linearization
    • Frank WA. An efficient approximation to the quadratic Volterra filter and its application in real-time loudspeaker linearization. Signal Processing 1994; 45(1):97–113.
    • (1994) Signal Processing , vol.45 , Issue.1 , pp. 97-113
    • Frank, W.A.1
  • 19
    • 84882064964 scopus 로고    scopus 로고
    • Nonlinear predictive control algorithms with different input sequence parameterizations applied for the quadratic Hammerstein and Volterra models
    • Allgöwer F, Zheng A (eds). Birkhäuser: Basel
    • Haber R, Bars R, Lengyel O. Nonlinear predictive control algorithms with different input sequence parameterizations applied for the quadratic Hammerstein and Volterra models. In Nonlinear Predictive Control, Allgöwer F, Zheng A (eds). Birkhäuser: Basel, 2000; 347–356.
    • (2000) Nonlinear Predictive Control , pp. 347356
    • Haber, R.1    Bars, R.2    Lengyel, O.3
  • 21
    • 0029234431 scopus 로고
    • Process dynamics and temperature control of fed-batch reactors
    • Szeifert F, Chovan T, Nagy L. Process dynamics and temperature control of fed-batch reactors. Computers and Chemical Engineering 1995; 19(1):447–452.
    • (1995) Computers and Chemical Engineering , vol.19 , Issue.1 , pp. 447452
    • Szeifert, F.1    Chovan, T.2    Nagy, L.3
  • 24
    • 0033871847 scopus 로고    scopus 로고
    • Model-based iterative learning control with a quadratic criterion for time-varying linear systems
    • Lee JH, Lee KS, Kim WC. Model-based iterative learning control with a quadratic criterion for time-varying linear systems. Automatica 2000; 36(5):641–657.
    • (2000) Automatica , vol.36 , Issue.5 , pp. 641-657
    • Lee, J.H.1    Lee, K.S.2    Kim, W.C.3
  • 25
    • 0028484420 scopus 로고
    • Random and pseudorandom inputs for Volterra filter identification
    • Nowak RD, van Veen BD. Random and pseudorandom inputs for Volterra filter identification. IEEE Transactions on Signal Processing 1994; 42(8):2124–2135.
    • (1994) IEEE Transactions on Signal Processing , vol.42 , Issue.8 , pp. 2124-2135
    • Nowak, R.D.1    van Veen, B.D.2


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