Recursive identification under scarce measurements — convergence analysis

Author:

Sanchis R.,Albertos P.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference14 articles.

1. Adams, G. J., Albertos, P., Goodwin, G. C., & Isaksson, A. J. (1994). Parameter estimation for systems with missing data in the presence of white measurement noise. SYSID IFAC symposium on system identification, Copenhagen.

2. Albertos, P., Goodwin, G. C., & Isaksson, A. J. (1992). A pseudo-linear regression algorithm for on-line parameter estimation with missing data. Internal Report EE92100, Newcastle University, Australia.

3. Albertos, P., Sala, A., & Sanchis, R. (1995a). sl Digital model parameter estimation with missing data. Proceedings of 13th IFAC world congress, Vol. J (pp. 217–222).

4. Dual rate adaptive control;Albertos;Automatica,1996

5. Albertos, P., Sanchis, R., & Sala, A. (1995b). Fault detection via parameter estimation in continuous-time systems with random sampling (scarce measurements). Proceedings of IFAC symposium on low cost automation, Buenos Aires.

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