Generalized predictive control with online least squares support vector machines

Zidonghua Xuebao/Acta Automatica Sinica

Volumn 33, Issue 11, 2007, Pages 1182-1188

  Li, Li Juan ^a,b   Su, Hong Ye ^a   Chu, Jian ^a  

^a STATE KEY LABORATORY OF INDUSTRIAL CONTROL TECHNOLOGY   (China)

^b NANJING TECH UNIVERSITY   (China)

Author keywords

Fuzzy least squares support machines; Generalized predictive control; Least squares support vector machines; Online modeling; pH neutralizing process

Indexed keywords

LAGRANGE MULTIPLIERS; NONLINEAR SYSTEMS; PREDICTIVE CONTROL SYSTEMS;

GENERALIZED PREDICTIVE CONTROL; LEAST SQUARES; ONLINE MODELING; RECURSIVE ALGORITHM;

SUPPORT VECTOR MACHINES;

EID: 37349125216     PISSN: 02544156     EISSN: None     Source Type: Journal    
DOI: 10.1360/aas-007-1182     Document Type: Article

References (14)

1. Clarke D W, Mohtadi C, Tuffs P S. Generalized predictive control part I: the basic algorithm. Automatica, 1987, 23(2): 137-148
2. Qin S J, Badgwell T A. A survey of industrial model predictive control technology. Control Engineering Practice, 2003, 11(7): 733-764.
3. Darryl D, Martin G. A new real-time perspective on nonlinear model predictive control. Journal of Process Control, 2006, 16(6): 635-643.
4. Vapnik V. Statisticsl Learning Theory. New York: John Wiley, 1998.
5. Alex J S, SchÄokopf B. A tutorial on support vector regression[Online], available: http://www.ncurocolt.com/techreps/1998/98030.ps.gz, September 10, 2005.
6. Suykens J A K, Vandewalle J, Least squares support vector machines classiffers. Neural Processing Letters, 1999, 9(3): 293-300.
7. Lin C, Wang S. Fuzzy support vector machines. IEEE Transactions on Neurai Networks, 2002, 13(2): 464-471.
8. Li L, Su H, Chu J. Lectur Notes in Computer Science. Chongqing, China: Springer, 2006. 1275-1281.
9. Liu Bin, Su Hong-Ye, Chu Jian. Predictive control algorithm based on least squares support vector machines. Control and Decision, 2004, 19(12): 1439-1402 (in Chinese).
10. Suykens J A K, Lukas L, Dooren V, Moor B D, Vandewalle J. Least squares support vector machines classiffers: a large scale algorithm. In: Proceedings of European Conference on Circuit Theory and Design. Italy: Stresa, 1999. 839-842.
11. Suykens J A K, Lukas L, Vandewalle J. Sparse approximation using least squares support vector machines. In: Proceedings of IEEE International Symposium on Circuits and Systems. Geneva, Swizerland: IEEE, 2000. 757-760.
12. Ljung L. System Identification Theory for the User. Sweden: Prentice Hall PTR, 1999. 364-364.
13. Csato L. Gaussian Processes-iterative Sparse Approximations[Ph. D. dissertation], University of Aston, 2002.
14. Nie J H, Loh A P, Hang C C. Modeling pH neutralization process using fuzzy-neutral approaches. Fuzzy Set and Systems, 1996, 78(1): 5-22.