NNSYSID-toolbox for system identification with neural networks

Mathematical and Computer Modelling of Dynamical Systems

Volumn 8, Issue 1, 2002, Pages 1-20

  Nørgaard, Magnus ^a   Ravn, Ole ^b   Poulsen, Neils Kjølstad ^b  

^a Widex ApS   (Denmark)

^b TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Black box modeling; Neural networks; System identification

Indexed keywords

BLACK-BOX MODEL; MODEL STRUCTURE SELECTION; MODEL VALIDATION; NON-LINEAR MODEL STRUCTURE; TOOLSETS; TRAINING ALGORITHMS;

IDENTIFICATION (CONTROL SYSTEMS); MODEL STRUCTURES; NONLINEAR DYNAMICAL SYSTEMS;

NEURAL NETWORKS;

NEURAL NETWORK;

EID: 0036298345     PISSN: 13873954     EISSN: None     Source Type: Journal    
DOI: 10.1076/mcmd.8.1.1.8342     Document Type: Article

References (21)

1. Billings, S., Jamaluddin, H. and Chen, S.: Properties of Neutral Networks with Applications to Modelling Non-Linear Dynamical Systems. IJC 55(1) (1992), pp. 193-224.
2. Demuth, H. and Beale, M.: Neural Network Toolbox. The Mathworks, Natick, MA, USA, 1993.
3. Fletcher, R.: Practical Methods of Optimization, second edn. Wiley, Chichester, USA, 1987.
4. Hassibi, B. and Stork, D.G.: Second Order Derivatives for Network Pruning: Optimal Brain Surgeon. In: S.J. Hanson, J.D. Ccowan and C.L. Giles (eds.): Advances in Neural Information Processing Systems 5. Proceedings of the 1992 Conference. Morgan Kaufmann, San Mateo, CA, USA, 1993, pp. 164-171.
5. Haykin, S.: Neural Networks; A Comprehensive Foundation, MacMillan, New York, USA, 1994.
6. He, X. and Asada, H.: A New Method for Identifying Orders of Input-Output Models for Nonlinear Dynamical Systems, in Proc. of the American Control Conference, S.F., California (1993), pp. 2520-2523.
7. Johansen, T.A. and Foss, B.A.: ORBIT - Operating Regime Based Modeling and Identification Toolkit. In: Y. Sawaragi and S. Sagara (eds.): Proceedings of the 11th IFAC Symposium on System Identification, Vol. 2, IFAC (1997), pp. 961-967.
8. Larsen, J. and Hansen, L.: Generalization Performance of Regularized Neural Network Models, in Proceedings of the IEEE Workshop on Neural Networks for Signal Processing. Piscataway, NJ, 1994, pp. 42-51.
9. Ljung, L.: System Identification - Theory for the User. Prentice-Hall, Englewood Cliffs, NJ, 1987.
10. Ljung, L.: System Identification Toolbox for use with MATLAB User's Guide, The Math Works, Natick, MA, USA, 1993.
11. Nørgaard, M.: Neural Network Based System Identification Toolbox. Tech. report 95-E-773, Department of Automation, DTU.
12. Nørgaard, M., Ravn, O., Hansen, L. and Poulsen, N.: The NNSYSID Toolbox - A MATLAB Toolbox for System Identification with Neutral Networks, in Proc. of the 1996 IEEE Int. Symposium on Computer - Aided Control System Design (CACSD), IEEE. Dearborn, MI, USA, 1996, pp. 374-379.
13. Nørgaard, M., Ravn, O., Poulsen, N. and Hansel, L.: NNCTRL - A CAN-CSD Toolkit for MATLAB, in Proc. of the 1996 IEEE Int. Symposium on Computer - Aided Control System Design (CACSD). IEEE, Dearborn, MI, USA, 1996, pp. 369-373.
14. Nørgaard, M., Ravn, O., Poulsen, N.K. and Hansen, L.K.: Neural Networks for Modeling and Control of Dynamic Systems - A Practitioner's Handbook. Springer, London, 2000. ISBN 1-85233-227-1.
15. Pedersen, M.W., Hansen, L.K. and Larsen, J.: Pruning with Generalization Based Weight Saliencies: γOBD, γOBS. In: D.S. Touretzky, M.C. Mozer and M.E. Hasselmo (eds.): Advances in Neural Information Processing Systems, Vol. 8. The MIT Press, 1996, pp. 521-527.
16. Salgado, M., Goodwin, G. and Middleton, R.: Modified Least Squares Algorithm Incorporating Exponential Forgetting and Resetting. Int. Journal of Control 47(2) (1988), pp. 477-491.
17. Sjöberg, J. and Ljung, L.: Overtraining, Regularization, and Searching for Minimum in Neural Networks, In Prep. of the IFAC Symposium or Adaptive Systems in Control and Signal Processing, IFAC, Grenoble, France, 1992, pp. 669-674.
18. Sjöberg, J., Zhang, Q., Ljung, L., Benveniste, A., B. Delyon, P.-Y., Glorennec, H.H. and Juditsky, A.: 'Nonlinear black-box modeling in system identification: a unified overview', Automatica 31(12) (1995), 1691-1724.
19. Sørensen, O.: Neural Networks in Control Applications. PhD thesis, Aalborg University, Department of Conrol Engineering, 1994.
20. Sørensen, P.H., Nørgaard, M., Larsen, J. and Hansen, L.: Cross-Validation with LULOO. In: S. Amari, L. Xu, L.W. Chan, I. King and K.S. Leung (eds.): Proc. of the 1996 Int. Conference on Neural Information Processing, Hong-Kong, Vol. 2. Springer, Singapore, 1996, pp. 1305-1310.
21. Sørensen, P.H., Sinha, P.K. and Al-Mutib, K.: Identification of a Pneumatic Servo Mechanism Using Neural Networks, In Proc. International Conference on Machine Automation, Vol. 2. Tampere, Finland, 1994, pp. 449-512.