Optimal State Filtering and Parameter Identification for Linear Time-Delay Systems

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Basin, Michael, Shi, Peng and Calderon-Alvarez, Dario (2008) Optimal State Filtering and Parameter Identification for Linear Time-Delay Systems. In: 2008 American Control Conference. IEEE, New York, N.Y., pp. 7-12.


This paper presents the optimal joint state filtering and parameter identification problem for linear stochastic time- delay systems with unknown parameters. The original identification problem is reduced to the optimal filtering problem for incompletely measured polynomial (bilinear) time-delay system states over linear observations with an arbitrary, not necessarily invertible, observation matrix, where the unknown parameters are considered standard Wiener processes and incorporated as additional states in the extended state vector. The obtained solution is based on the designed optimal filter for incompletely measured bilinear time-delay states over linear observations, taking into account that the optimal filter for the extended state vector also serves as the optimal identifier for the unknown parameters. In the example, performance of the designed optimal state filter and parameter identifier is verified for a linear time-delay system with an unknown multiplicative parameter over linear observations. Both, stable and unstable, linear systems are examined.

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Item type Book Section
URI https://vuir.vu.edu.au/id/eprint/6202
DOI 10.1109/ACC.2008.4586457
Official URL http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arn...
ISBN 9781424420780, e9781424420797
Subjects Historical > FOR Classification > 0906 Electrical and Electronic Engineering
Historical > Faculty/School/Research Centre/Department > Institute for Logistics and Supply Chain Management (ILSCM)
Historical > FOR Classification > 0199 Other Mathematical Sciences Information Systems
Keywords ResPubID18953, delay systems, filtering theory, identification, optimal control, stochastic systems
Citations in Scopus 4 - View on Scopus
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