Controlling multivariable systems with significant uncertainty

Qing Guo Wang, You Xian Sun, Chun Hui Zhou

Research output: Contribution to journalConference articlepeer-review


The problem of designing a robust controller for a multivariable system with significant uncertainty is considered. In particular, the class of uncertainty is represented by a set of finite dimensional linear time-invariant models of the system. A physically realizable, finite dimensional linear time-invariant controller in unit feedback configuration is designed such that the resulting feedback system simultaneously satisfies performance objectives for all models in the set. The performance objectives considered include not only stability but also regulation, tracking, weak interaction and desirable transient behaviour. A new approach to a robust controller design which reaches the above objectives is developed in a frequency domain setting, and its effectiveness of this approach is verified by the design and simulation of a paper machine control system. The result exhibits quite satisfactory performances and strong robustness.

Original languageEnglish
Pages (from-to)275-279
Number of pages5
JournalIFAC Proceedings Series
Issue number7
Publication statusPublished - 1989
Externally publishedYes
EventComputer Aided Design in Control Systems 1988 - Selected Papers from the 4th IFAC Symposium - Beijing, China
Duration: 23 Aug 198825 Aug 1988

ASJC Scopus subject areas

  • General Engineering


Dive into the research topics of 'Controlling multivariable systems with significant uncertainty'. Together they form a unique fingerprint.

Cite this