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- Title
Joint estimation and identification for stochastic systems with unknown inputs.
- Authors
Hua Lan; Yan Liang; Feng Yang; Zengfu Wang; Quan Pan
- Abstract
Motivated by tracking a manoeuvring target in electronic counter environments, the authors present the problem of joint estimation and identification of a class of discrete-time stochastic systems with unknown inputs in both the plant and sensors. Based on the expectation-maximum criterion, the joint optimisation scheme of state estimation, parameter identification and iteration terminate decision were derived. A numerical example of tracking a manoeuvring target accompanied range gate pull-off is utilised to verify the proposed scheme.
- Subjects
STOCHASTIC systems; DETECTORS; DISCRETE-time systems; ITERATIVE methods (Mathematics); STOCHASTIC processes
- Publication
IET Control Theory & Applications (Wiley-Blackwell), 2013, Vol 7, Issue 10, p1377
- ISSN
1751-8644
- Publication type
Article
- DOI
10.1049/iet-cta.2012.0996