Nowak, R. D., 2002, “Nonlinear System Identification,” Circuits Syst. Signal Process., 21 (1), pp. 109–122.

[CrossRef]Juditsky, A., Hjalmarsson, H., Benveniste, A., Delyon, B., Ljung, L., Sjobergs, J., and Zhang, Q., 1995, “Nonlinear Black-Box Models in System Identification: Mathematical Foundations,” Automatica, 31 (12), pp. 1725–1750.

[CrossRef]Sastry, P. S., Santharam, G., and Unnikrishnan, K. P., 1994, “Memory Neuron Networks for Identification and Control of Dynamic Systems,” IEEE Trans. Neural Netw., 5 (2), pp. 306–319.

[CrossRef]Parlos, A. G., Chong, K. T., and Atiya, A. F., 1994, “Application of the Recurrent Multilayer Perceptron in Modeling Complex Process Dynamics,” IEEE Trans. Neural Netw., 5 (2), pp. 255–266.

[CrossRef]Schetzen, M., 1980, "*The Volterra and Wiener Theories of Nonlinear Systems*", Wiley, New York.

Ghanem, R., and Romeo, F., 2001, “A Wavelet-Based Approach for Model and Parameter Identification of Non-Linear Systems,” Int. J. Non-Linear Mech., 36 , pp. 835–859.

[CrossRef]Chen, S. -L., and Ho, K. -C., 2004, “Identification of Nonlinear Systems by Haar Wavelet,” Proceedings of IMECE04 , Paper No. IMECE2004-62417.

Ljung, L., 1999, "*System Identification: Theory for the User*", 2nd ed., Prentice-Hall, Englewood Cliffs, NJ.

Soderstrom, T., and Stoica, P., 1989, "*System Identification*", Prentice-Hall, Englewood Cliffs, NJ.

Viberg, M., Wahlberg, B., and Ottersten, B., 1997, “Analysis of State Space System Identification Methods Based on Instrumental Variables and Subspace Fitting,” Automatica, 33 (9), pp. 1603–1616.

[CrossRef]Astrom, K., and Eykhoff, P., 1971, “System Identification—A Survey,” Automatica, 7 , pp. 123–162.

[CrossRef]Hertz, J., Krogh, A., and Palmer, R. G., 1991, "*Introduction to the Theory of Neural Computation*", Addison-Wesley, Reading, MA.

Seber, G. A. F., and Wild, C. J., 1989, "*Nonlinear Regression*", Wiley, New York.

Goldberg, D. E., 1989, "*Genetic Algorithms*", Addison-Wesley, Reading, MA.

Fletcher, R., 1987, "*Practical Methods of Optimization*", 2nd ed., Wiley, New York.

Rubinstein, R. Y., 1986, "*Monte Carlo Optimization, Simulation, and Sensitivity of Queueing Networks*", Wiley, New York.

Sastry, S., and Bodson, M., 1989, "*Adaptive Control*", Prentice-Hall, Englewood Cliffs, NJ.

Narendra, K. S., and Annaswamy, A. M., 1989, "*Stable Adaptive Systems*", Prentice-Hall, Englewood Cliffs, NJ.

Ioannou, P. A., and Sun, J., 1996, "*Robust Adaptive Control*", Prentice-Hall, Englewood Cliffs, NJ.

Ljung, L., and Glad, T., 1994, “On Global Identifiability for Arbitrary Model Parametrizations,” Automatica, 30 (2), pp. 265–275.

[CrossRef]Frank, P. M., 1978, "*Introduction to System Sensitivity Theory*", Academic, New York.

Mallat, S., 1999, "*A Wavelet Tour of Signal Processing*", 2nd ed., Academic, New York.

Walker, J., 1997, “Fourier Analysis and Wavelet Analysis,” Not. Am. Math. Soc., 44 (6), pp. 658–670.

Mallat, S., and Hwang, W. L., 1992, “Singularity Detection and Processing With Wavelets,” IEEE Trans. Inf. Theory, 38 (2), pp. 617–643.

[CrossRef]Jackson, J. E., 1991, "*A User’s Guide to Principle Components*", Wiley, New York.

Deuflhard, P., 2004, "*Newton Methods for Nonlinear Problems*", Springer, New York.

Verhaegen, M., and Verdult, V., 2007, "*Filtering and System Identification*", Cambridge University Press, Cambridge, England.

Thomaseth, K., and Cobelli, C., 1999, “Generalized Sensitivity Functions in Physiological System Identification,” Ann. Biomed. Eng., 27 , pp. 607–616.

[CrossRef]Walter, E., and Pronzato, L., 1996, “On the Identifiability and Distinguishability of Nonlinear Parametric Models,” Math. Comput. Simul., 42 , pp. 125–134.

[CrossRef]Addison, P. S., 2002, "*The Illustrated Wavelet Transform Handbook*", Institute of Physics Publishing, Bristol, PA.

Audoly, S., Bellu, G., D’Angio, L., Saccomani, M. P., and Cobelli, C., 2001, “Global Identifiability of Nonlinear Models of Biological Systems,” IEEE Trans. Biomed. Eng., 48 (1), pp. 55–65.

[CrossRef]Wang, N., Dayawansa, W. P., and Martin, C. F., 1999, “Van der Pol Oscillator Networks,” "*Proceedings of the 38th Conference on Decision and Control*", Phoenix, AZ, pp. 393–398.

Carson, E. R., Cobelli, C., and Finkelstein, L., 1983, "*The Mathematical Modeling of Metabolic and Endocrine Systems*", Wiley, New York.

Marr, D., 1982, "*Vision*", Freeman, San Francisco.

Loh, A.-P., Annaswamy, A. M., and Skantze, F. P., 1999, “Adaptation in the Presence of a General Nonlinear Parameterization: An Error Model Approach,” IEEE Trans. Autom. Control, 44 (9), pp. 1634–1652.

[CrossRef]