Nonlinear predictive control based on LS-SVM

Kongzhi yu Juece/Control and Decision

Volumn 19, Issue 4, 2004, Pages 383-387

  Wang, Yu Hong ^a,b   Huang, De Xian ^a   Gao, Dong Jie ^b   Jin, Yi Hui ^a  

^a TSINGHUA UNIVERSITY   (China)

^b INSTITUTE OF AUTOMATION   (China)

Author keywords

LS SVM; Nonlinear control; Nonlinear modeling; Predictive control

Indexed keywords

COMPUTER SIMULATION; IDENTIFICATION (CONTROL SYSTEMS); LAGRANGE MULTIPLIERS; LEAST SQUARES APPROXIMATIONS; NONLINEAR CONTROL SYSTEMS; PARAMETER ESTIMATION;

LEAST SQUARE SUPPORT VECTOR MACHINE; NONLINEAR MODELING;

PREDICTIVE CONTROL SYSTEMS;

EID: 3142637123     PISSN: 10010920     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (6)

1. Bequette B W. Nonlinear control of chemical process: A review [J]. Ind Eng Chem Res, 1991, 30(4): 1391-1413.
2. Evelio H, Yaman A. Control of nonlinear systems using polynomial ARMA models [J]. AIChE Journal, 1993, 39(3): 446-460.
3. Maner R B, Doyle F J. Polymerization reactor control using autoregressive-plus volterra-based MFC [J]. AIChE Journal, 1997, 43(7): 1763-1784.
4. Cortes C, Vapnik V. Support vector machine [J]. Machine Learning, 1995, 20: 273-297.
5. Suykens J A K, Vandewalle J. Least squares support vector machine classifiers [J]. Neural Processing Letters, 1999, 9(3): 293-300.