Open Access

The role of parameter constraints in EE and OE methods for optimal identification of continuous LTI models

International Journal of Applied Mathematics and Computer Science's Cover Image
International Journal of Applied Mathematics and Computer Science
Analysis and Control of Spatiotemporal Dynamic Systems (special section, pp. 245 - 326), Dariusz Uciński and Józef Korbicz (Eds.)

Byrski, W. and Fuksa, S. (1995). Optimal identification of continuous systems in 2 space by the use of compact support filter, International Journal of Modelling & Simulation, IASTED 15(4): 125-131.10.1080/02286203.1995.11760263Search in Google Scholar

Byrski, W. and Fuksa, S. (1996). Linear adaptive controller for continuous system with convolution filter, Proceedings of the 13th IFAC Triennial World Congress, San Francisco, CA, USA, pp. 379-384.Search in Google Scholar

Byrski, W. and Fuksa, S. (1999). Time variable gram matrix eigen-problem and its application to optimal identification of continuous systems, Proceedings of the European Control Conference ECC99, Karlsruhe, Germany, F0256.10.23919/ECC.1999.7099377Search in Google Scholar

Byrski, W. and Fuksa, S. (2000). Optimal identification of continuous systems and a new fast algorithm for on line mode, Proceedings of the International Conference on System Identification, SYSID2000, Santa Barbara, CA, USA, PM 2-5.Search in Google Scholar

Byrski, W. and Fuksa, S. (2001). Stability analysis of CLTI state feedback system with simultaneous state and parameter identification, Proceedings of the IASTED International Conference on Applied Simulation and Modelling, ASM01, 2001, Marbella, Spain, pp. 7-12.Search in Google Scholar

Byrski, W., Fuksa, S. and Byrski, J. (1999). A fast algorithm for the eigenproblem in on-line continuous model identification, Proceedings of the 18 IASTED International Conference on Modelling, Identification and Control, MIC99, Innsbruck, Austria, pp. 22-24.Search in Google Scholar

Byrski, W., Fuksa, S. and Nowak, M. (2003). The quality of identification for different normalizations of continuous transfer functions, Proceedings of the 22 IASTED International Conference on Modelling, Identification and Control, MIC03, 2003, Innsbruck, Austria, pp. 96-101.Search in Google Scholar

Co, T. and Ydstie, B. (1990). System identification using modulating functions and fast Fourier transforms, Computers & Chemical Engineering 14(10): 1051-1066.10.1016/0098-1354(90)85002-RSearch in Google Scholar

Eykhoff, P. (1974). System Identification, Parameter and State Estimation, J. Wiley, London.Search in Google Scholar

Garnier, H. and Wang, L. (Eds.) (2008). Identification of Continuous-time Models from Sampled Data, Advances in Industrial Control, Springer-Verlag, London.10.1007/978-1-84800-161-9Search in Google Scholar

Gillberg, J. and Ljung, L. (2009). Frequency domain identification of continuous time ARMA models from sampled data, Automatica 4(6): 1371-1378.10.1016/j.automatica.2009.01.016Search in Google Scholar

Johansson, R. (2010). Continuous-time model identification and state estimation using non-uniformly sampled data, Proceedings of the 19th International Symposium on Mathematical Theory of Networks and Systems, MTNS 2010, Budapest, Hungary, pp. 347-354.Search in Google Scholar

Ljung, L. and Wills, A. (2010). Issues in sampling and estimating continuous-time models with stochastic disturbances, Automatica 46(5): 925-931.10.1016/j.automatica.2010.02.011Search in Google Scholar

Maletinsky, V. (1979). Identification of continuous dynamical systems with spline-type modulating functions method, Proceedings of the IFAC Symposium on Identification and SPE, Darmstadt, Germany, Vol. 1, p. 275.Search in Google Scholar

Preisig, H. A. and Rippin, D. W. T. (1993). Theory and application of the modulating function method,Computers & Chemical Engineering 17(1): 1-16.10.1016/0098-1354(93)80001-4Search in Google Scholar

Schwartz, L. (1966). Théorie des distributions, Hermann, Paris.Search in Google Scholar

Shinbrot, M. (1957). On the analysis of linear and nonlinear systems, Transactions of the American Society of Mechanical Engineers, Journal of Basic Engineering 79: 547-552.10.1115/1.4013092Search in Google Scholar

Sinha, N. K. and Kuszta, B. (1983). Modeling and Identification of Dynamic Systems, Van Nostrand RC, New York, NY.Search in Google Scholar

Soderstrom, T. and Stoica, P. (1994). System Identification, Prentice Hall, London.Search in Google Scholar

Unbehauen, H. and Rao, G. P. (1987). Identification of Continuous Systems, North-Holland, Amsterdam.Search in Google Scholar

Yeredor, A. (2006). On the role of constraints in system identification, 4th International Workshop on Total Least Squares and Errors-invariables Modelling, Leuven, Belgium, (see also http://diag.mchtr.pw.edu.pl/damadics). http://diag.mchtr.pw.edu.pl/damadicsSearch in Google Scholar

Young, P. (1981). Parameter estimation for continuous-time models—A survey, Automatica 17(1): 23-39.10.1016/0005-1098(81)90082-0Search in Google Scholar

ISSN:
1641-876X
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Mathematics, Applied Mathematics