Bai, E. (1998). An optimal two-stage identification algorithm for Hammerstein-Wiener nonlinear systems, Automatica34(3): 333-338.10.1016/S0005-1098(97)00198-2
Chen, S. and Billings, S. (1989). Representations of non-linear systems: The NARMAX model, International Journal ofControl 49(3): 1013-1032.10.1080/00207178908559683
Findeisen, W., Bailey, F., Brdyś, M., Malinowski, K., Tatjewski, P. and Woźniak, A. (1980). Control and Coordination inHierarchical Systems, J. Wiley, Chichester/New York, NY.
Finigan, B. and Rowe, I. (1974). Strongly consistent parameter estimation by the introduction of strong instrumental variables, IEEE Transactions on Automatic Control19(6): 825-830.10.1109/TAC.1974.1100719
Giri, F. and Bai, E.W. (2010). Block-Oriented Nonlinear SystemIdentification, Lecture Notes in Control and Information Sciences, Vol. 404, Springer, Berlin.
Haber, R. and Keviczky, L. (1999). Nonlinear System Identification:Input-Output Modeling Approach, Kluwer Academic Publishers, Dordrecht.10.1007/978-94-011-4481-0
Hansen, L. and Singleton, K. (1982). Generalized instrumental variables estimation of nonlinear rational expectations models, Econometrica: Journal of the Econometric Society50(5): 1269-1286.10.2307/1911873
Hasiewicz, Z. (1989). Applicability of least-squares to the parameter estimation of large-scale no-memory linear composite systems, International Journal of Systems Science20(12): 2427-2449.10.1080/00207728908910324
Hasiewicz, Z. and Mzyk, G. (2009). Hammerstein system identification by non-parametric instrumental variables, InternationalJournal of Control 82(3): 440-455.10.1080/00207170802225930
Hill, D. and Chong, C. (1989). Lyapunov functions of Lur’e-Postnikov form for structure preserving models of power systems, Automatica 25(3): 453-460.10.1016/0005-1098(89)90015-0
Hill, D. and Mareels, I. (1990). Stability theory for differential/algebraic systems with application to power systems, IEEE Transactions on Circuits and Systems37(11): 1416-1423.10.1109/31.62415
Kowalczuk, Z. and Kozłowski, J. (2000). Continuous-time approaches to identification of continuous-time systems, Automatica 36(8): 1229-1236.10.1016/S0005-1098(00)00033-9
Lu, J. and Hill, D. (2007). Impulsive synchronization of chaotic Lur’e systems by linear static measurement feedback: An LMI approach, IEEE Transactions on Circuits and SystemsII: Express Briefs 54(8): 710-714.10.1109/TCSII.2007.898468
Mzyk, G. (2007). Generalized kernel regression estimate for the identification of Hammerstein systems, InternationalJournal of Applied Mathematics and Computer Science17(2): 189-197, DOI: 10.2478/v10006-007-0018-z.10.2478/v10006-007-0018-z
Mzyk, G. (2009). Nonlinearity recovering in Hammerstein system from short measurement sequence, IEEE SignalProcessing Letters 16(9): 762-765.10.1109/LSP.2009.2024795
Sagara, S. and Zhao, Z.-Y. (1990). Numerical integration approach to on-line identification of continuous-time systems, Automatica 26(1): 63-74.10.1016/0005-1098(90)90158-E
Söderström, T. and Stoica, P. (2002). Instrumental variable methods for system identification, Circuits, Systems, andSignal Processing 21(1): 1-9.10.1007/BF01211647
Stoica, P. and Söderström, T. (1982). Instrumental-variable methods for identification of Hammerstein systems, InternationalJournal of Control 35(3): 459-476.10.1080/00207178208922632
Suykens, J., Yang, T. and Chua, L. (1998). Impulsive synchronization of chaotic Lur’e systems by measurement feedback, International Journal of Bifurcation and Chaos8(06): 1371-1381.10.1142/S0218127498001078
Wong, K. and Polak, E. (1967). Identification of linear discrete time systems using the instrumental variable method, IEEETransactions on Automatic Control 12(6): 707-718.10.1109/TAC.1967.1098734
Zhang, Y., Bai, E., Libra, R., Rowden, R. and Liu, H. (1996).Simulation of spring discharge from a limestone aquifer in Iowa, USA, Hydrogeology Journal 4(4): 41-54.10.1007/s100400050087
Zhao, Z.-Y., Sagara, S. andWada, K. (1991). Bias-compensating least squares method for identification of continuous-time systems from sampled data, International Journal of Control53(2): 445-461. 10.1080/00207179108953627