Controllers for minimizing sample time uncertainty in digital LQG regulation Conference Paper

abstract

• Consideration is given to the problem of minimizing the effect of uncertainty in the sampling times of analog-to-digital and digital-to-analog conversion in the linear-quadratic Gaussian (LQG) digital regulation of a linear continuous-time system. The overall controller scheme consists of a nominal LQG controller in parallel (as in the class of all stabilizing controllers) with a finite-impulse-response sensitivity-reduction controller. The parameters of the sensitivity controller are selected so as to minimize a performance index which is quadratic in the state, the control, the state sensitivity and the control sensitivity.

name of conference

• Proceedings of the 28th IEEE Conference on Decision and Control

authors

• Skelton, Robert

published proceedings

• Proceedings of the 28th IEEE Conference on Decision and Control
• Proceedings of the IEEE Conference on Decision and Control

author list (cited authors)

• Williamson, D., & Skelton, R. E.

citation count

• 0

complete list of authors

• Williamson, D||Skelton, RE

publication date

• January 1989

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Conference on Decision and Control  Journal

Digital Object Identifier (DOI)

• 10.1109/cdc.1989.70334

start page

• 1237-1240 vol.2

end page

• 1240

volume

• 2

URL

• http://dx.doi.org/10.1109/cdc.1989.70334