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

Lawrence D. Davis; Keith K. Denoyer

doi:10.1117/12.332481

8 December 1998 Online method of identifying MIMO plants employing the minimum number of parameters

Lawrence D. Davis, Keith K. Denoyer

Proceedings Volume 3430, Novel Optical Systems and Large-Aperture Imaging; (1998) https://doi.org/10.1117/12.332481
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1998, San Diego, CA, United States

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.

Citation Download Citation

Lawrence D. Davis and 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); https://doi.org/10.1117/12.332481

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