Abstract
An integrated identification and controller design approach, based on loop-shaping principles, is presented. Starting with time-domain input-output data, a coprime factorization of the plant is identified using linear least-squares techniques. The residual error from the identification is then used to obtain estimates of the coprime factor uncertainty that are translated to sensitivity and complementary sensitivity bounds for the closed-loop system. These bounds serve as a guide for the selection of a target loop and the controller is designed using H ∞ tools. An application on a paper machine simulator is also presented, illustrating the main ideas of the approach.
Original language | English (US) |
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Title of host publication | Proceedings of the IEEE Conference on Decision and Control |
Publisher | IEEE |
Pages | 1511-1516 |
Number of pages | 6 |
Volume | 2 |
State | Published - 1999 |
Event | The 38th IEEE Conference on Decision and Control (CDC) - Phoenix, AZ, USA Duration: Dec 7 1999 → Dec 10 1999 |
Other
Other | The 38th IEEE Conference on Decision and Control (CDC) |
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City | Phoenix, AZ, USA |
Period | 12/7/99 → 12/10/99 |
ASJC Scopus subject areas
- Chemical Health and Safety
- Control and Systems Engineering
- Safety, Risk, Reliability and Quality