Abstract
This work is concerned with identification of systems that are subject to not only measurement noises, but also structural uncertainties such as unmodeled dynamics, sensor nonlinear mismatch, and observation bias. Identification errors are analyzed for their dependence on these structural uncertainties. Asymptotic distributions of scaled sequences of estimation errors are derived.
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Research of this author was supported in part by the National Science Foundation under CMS-0510655, and in part by the National Natural Science Foundation of China under #60574069.
Research of this author was supported in part by Wayne State University Research Enhancement Program.
Research of this author was supported in part by the National Science Foundation under ECS-0329597, and in part by Wayne State University Research Enhancement Program.
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Yin, G.G., Kan, S. & Wang, L.Y. Identification Error Bounds and Asymptotic Distributions for Systems with Structural Uncertainties. Jrl Syst Sci & Complex 19, 22–35 (2006). https://doi.org/10.1007/s11424-006-0022-7
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DOI: https://doi.org/10.1007/s11424-006-0022-7