Online method of identifying MIMO plants employing the minimum number of parameters

Details Online method of identifying MIMO plants employing the minimum number of parameters Online method of identifying MIMO plants employing the minimum number of parameters

Dec 1998

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1998spie.3430..260d&link_type=abstract

Proc. SPIE Vol. 3430, p. 260-269, Novel Optical Systems and Large-Aperture Imaging, Kevin D. Bell; Michael K. Powers; Jose M. Sa

Physics

Scientific paper

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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