Abstract
Identification algorithms generally fall into two distinct categories: output error and equation error.
Supported by Fundación Pedro Barrié de la Maza under grant no. 340056.
Supported in part by NSF grant ECS-9350346.
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References
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P. A. Regalia, “An unbiased equation error identifier and reduced order appriximations”, IEEE Trans, on Signal Processing, vol. 42, pp. 1397–1412, 1994.
C. R. Johnson, Jr., Lectures in Adaptive Parameter Estimation, Prentice Hall, 1988.
Roberto López-Valcarce and Soura Dasgupta, “Stable Estimates in Equation Error Identification”, in Proceedings of CDC, Dec, 1997.
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© 1999 Springer-Verlag London Limited
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López-Valcarce, R., Dasgupta, S. (1999). Stable estimates in equation error identification: An open problem. In: Blondel, V., Sontag, E.D., Vidyasagar, M., Willems, J.C. (eds) Open Problems in Mathematical Systems and Control Theory. Communications and Control Engineering. Springer, London. https://doi.org/10.1007/978-1-4471-0807-8_28
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DOI: https://doi.org/10.1007/978-1-4471-0807-8_28
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