L-two-optimal identification of errors-in-variables models: a frequency-domain approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Hardware and Architecture,Control and Systems Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11768-011-9268-2.pdf
Reference20 articles.
1. T. Söderström. Errors-in-variables methods in system identification. Automatica, 2007, 43(6): 939–958.
2. T. Söderström. Perspectives on errors-in-variables estimation for dynamic systems. Signal Processing, 2002, 82(8): 1139–1154.
3. R. Diversi, R. Guidorzi, U. Soverini. Maximum likelihood identification of noisy input-output models. Automatica, 2007, 43(3): 464–472.
4. K. Mahata. An improved bias-compensation approach for errors-invariables model identification. Automatica, 2007, 43(8): 1339–1354.
5. S. Thil, H. Garnier, M. Gilson. Third-order cumulants based methods for continuous-time errors-in-variables model identification. Automatica, 2008, 44(3): 647–658.
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