Adaptive control of distributed parameter systems: The ultimate reduced-order problem Conference Paper

abstract

• For many distributed parameter systems (DPS), such as highly mechanically flexible structures, it is essential to provide stable on-board/on-line adaptive control in the presence of poorly known system parameters. However, such a controller must be based on a reduced-order model of the DPS and spillover from the unmodeled residuals can deteriorate the performance of the controller and, in some cases, defeat the whole purpose of the adaptive control. In this paper, we investigate direct and indirect adaptive controllers based on reduced-order models of a DPS and point out the mechanisms whereby spillover can upset the stability of adaptive controllers. We present some conditions under which the adaptive controllers remain stable in closed-loop with the actual DPS and point out certain generic problems that must be overcome for successful operation of adaptive DPS control.

name of conference

• 1979 18th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes

authors

• Balas, Mark

published proceedings

• 1979 18th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes

author list (cited authors)

• Balas, M. J., & Johnson, C. R.

citation count

• 8

complete list of authors

• Balas, Mark J||Johnson, C Richard

publication date

• December 1979

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• Adaptive Control
• Distributed Parameter Systems
• Earthquakes
• Flexible Structures

Digital Object Identifier (DOI)

• 10.1109/cdc.1979.270102

start page

• 1013

end page

• 1017

volume

• 2

URL

• http://dx.doi.org/10.1109/cdc.1979.270102