8 December 1998 Online method of identifying MIMO plants employing the minimum number of parameters
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Abstract
The need arises in adaptive closed-loop control to identify an efficient dynamic model of the system in real-time. It is well known that a general nu-input, ny-output, strictly proper system of order n possesses n(nu + ny) independent parameters. However, most on-line identification techniques identify many more parameters than these. For example, in an ARMA realization the number of parameters identified is at least n(1 + nu (DOT) ny), which is of third order in the size parameters. This paper presents a means of identifying only the minimum number of parameters, while avoiding non- convex optimization that results in local minima.
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Lawrence D. Davis, Keith K. Denoyer, "Online method of identifying MIMO plants employing the minimum number of parameters", Proc. SPIE 3430, Novel Optical Systems and Large-Aperture Imaging, (8 December 1998); doi: 10.1117/12.332481; https://doi.org/10.1117/12.332481
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