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Optimal low-order controller design via LQG-like parametrization

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2 Author(s)
Harn, Ywh-Pyng ; Integrated Syst. Inc., Santa Clara, CA, USA ; Kosut, R.L.

A novel LQG (linear quadratic Gaussian)-like parametrization scheme is introduced for low-order controller design. Descent-based design methodologies are developed for optimizing an H2 -cost with respect to the controller design parameters, which in this case are the reduced-order regulator and estimator gain matrices. A numerical experiment using a large-scale structure model shows the efficiency of this approach. The design methodology is easy to implement and is shown to be suitable for MIMO (multiple-input multiple-output), low-order controller design

Published in:

Decision and Control, 1992., Proceedings of the 31st IEEE Conference on

Date of Conference:

1992

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