Non-linear GMV control for unstable state dependent multi-variable models

M.J. Grimble, P.M. Majecki

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Citations (Scopus)

Abstract

A nonlinear generalized minimum variance control law is derived for systems represented by an input-output state dependent nonlinear subsystem that may be open-loop unstable. The solution is obtained using a model for the multivariable discrete-time process that includes a state-dependent (nonlinear and possibly unstable) model that links the output and any unstructured nonlinear input subsystem. The input subsystem can involve an operator of very general nonlinear form, but this has to be assumed to be stable. This is the first NGMV control solution that is suitable for systems containing an unstable nonlinear sub-system contained in a state-dependent model.
Original languageEnglish
Title of host publicationProceedings of the 47th IEEE Conference on Decision and Control
PublisherIEEE
Pages4767-4774
Number of pages7
ISBN (Print)978-1-4244-3123-6
DOIs
Publication statusPublished - Dec 2008

Keywords

  • discrete time systems
  • multivariable control systems
  • nonlinear control systems

Cite this

Grimble, M. J., & Majecki, P. M. (2008). Non-linear GMV control for unstable state dependent multi-variable models. In Proceedings of the 47th IEEE Conference on Decision and Control (pp. 4767-4774). IEEE. https://doi.org/10.1109/CDC.2008.4739137