Model predictive control for nonlinear affine systems based on the simplified dual neural network

Proceedings of the IEEE International Conference on Control Applications

Volumn , Issue , 2009, Pages 683-688

  Pan, Yunpeng ^a   Wang, Jun ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

ADVANCED CONTROL STRATEGY; DUAL NEURAL NETWORKS; NONLINEAR AFFINE SYSTEM; POOR PERFORMANCE; RECEDING HORIZON CONTROL; SIMULATION RESULT;

INDUSTRIAL APPLICATIONS; NONLINEAR SYSTEMS; PREDICTIVE CONTROL SYSTEMS; RECURRENT NEURAL NETWORKS;

MODEL PREDICTIVE CONTROL;

EID: 74049131054     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCA.2009.5281106     Document Type: Conference Paper

References (21)

1. J. Richalet, A. Testud, L. J., and J. Papon, "Model predictive heuristic control: Applications to industrial processes," Automatica, vol. 14, pp. 413-428, 1978.
2. S. J. Qin and Thomas A. Badgwell, "A survey of industrial model predictive control technology," Control Engineering Practice, vol. 11, pp. 733-764, 2003.
3. D. W. Tank and J. J. Hopfield, "Simple neural optimization networks: An A/D converter, signal decision circuit, and a linear programming circuit," IEEE Trans. Circuits. Syst., vol. 33, pp. 533-541, May 1986.
4. J. Wang, "A deterministic annealing neural network for convex programming," Neural Netw., vol. 7, no. 4, pp. 629-641, 1994.
5. Y. Xia, "A new neural network for solving linear and quadratic programming problems," IEEE Trans. Neural Networks, vol. 7, no. 6, pp. 1544-1547, Nov. 1996.
6. Y. Zhang and J. Wang, "A dual neural network for convex quadratic programming subject to linear equality and inequality constraints," Phys. Lett., A, pp. 271-278, Jun. 2002.
7. Y. Xia, G. Feng, and J. Wang, "A recurrent neural network with exponential convergence for solving convex quadratic program and linear piecewise equations," Neural Netw., vol. 17, no. 7, pp. 1003-1015, 2004.
8. S. Liu and J. Wang, "A simplified dual neural network for quadratic 525 programming with its KWTA application," IEEE Trans. Neural Netw., vol. 17, no. 6, pp. 1500-1510, Nov. 2006.
9. X. Hu and J. Wang, "Design of general projection neural networks for solving monotone linear variational inequalities and linear and quadratic optimization problems," IEEE Trans. Syst., Man, Cybern., vol. 37, no. 5, pp. 1414-1421, 2007.
10. Q. Liu and J. Wang, "A one-layer recurrent neural network with a discontinuous hard-limiting activation function for quadratic programming," IEEE Trans. Neural Netw., vol. 19, no. 4, pp. 558-570, 2008.
11. X. Hu and J. Wang, "Solving pseudomonotone variational inequalities and pseudoconvex optimization problems using the projection neural network," IEEE Trans. Neural Netw., vol. 17, pp. 1487-1499, 2006.
12. Y. Xia, G. Feng and J. Wang, "A novel neural network for solving nonlinear optimization problems with inequality constraints," IEEE Trans. Neural Netw., vol. 19, no. 8, pp. 1340-1353, Aug. 2008.
13. J. M. Quero and E. F. Camacho, "Neural network for constrained predictive control," IEEE Trans. Circuits Syst. I., vol. 40, no. 9, pp. 621-626, 1993.
14. L. Wang and F. Wan, "Structured neural networks for constrained model predictive control," Automatica, vol. 37, pp. 1235-1243, 2001.
15. L. Cheng, Z. Hou, and M. Tan, "Constrained multi-variable generalized predictive control using a dual neural network," Neural Comput. & Applic., vol. 16, pp. 505-512, 2007.
16. Y. Pan and J. Wang, "Two neural network approaches to model predictive control," Proceedings of the American Control Conference, Seattle, Washington, USA, pp. 1685-1690, 2008.
17. Y. Pan and J. Wang, "Robust model predictive control using a discrete-time recurrent neural network," Advances in Neural Networks - ISNN2008, Springer-Verlag, vol. 5263, pp. 883-892, 2008.
18. C. Venkateswarlu and K. Rao, "Dynamic recurrent radial basis function network model predictive control of unstable nonlinear processes," Chemical Engineering Science, vol. 60, pp. 6718-6732, 2005.
19. U. Yuzgec, Y. Becerikli, and M. Turker, "Dynamic neural-network-based model-predictive control of an industrial baker's yeast drying process," IEEE Trans Neural Netw., vol. 19, pp. 1231-1242, 2008.
20. Y. Pan and J. Wang, "Nonlinear model predictive control using a recurrent neural network," Proc. of the 2008 International Joint Conference on Neural Networks, Hong Kong, pp. 2297-2302, 2008.
21. F. Wu, "LMI-based robust model predictive control and its applications to an industrial CSTR problem," Journal of Process Control, vol. 11, pp. 649-659, 2001.