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Bilinear models in adaptive control

✍ Scribed by Ewa Bielińska; Bartłomiej Zieliński

Publisher
John Wiley and Sons
Year
2000
Tongue
English
Weight
114 KB
Volume
14
Category
Article
ISSN
0890-6327

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✦ Synopsis

A key issue, which is addressed in the paper, is the development of an e$cient adaptive control algorithm for disturbed, non-linear objects. A generalized non-linear model of the controlled plant is proposed. Model of disturbances is assumed to be a bilinear time-series model. Minimum-variance control of non-linear systems with bilinear model of disturbances is considered. For a generalized system model simple, weighed and generalized adaptive control algorithms are proposed. A comparison of di!erent non-linear adaptive control algorithms is performed.

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✍ Daniel E. Miller 📂 Article 📅 2001 🏛 John Wiley and Sons 🌐 English ⚖ 168 KB 👁 1 views

## Abstract In the model reference adaptive control problem, the goal is to force the error between the plant output and the reference model output asymptotically to zero. The classical assumptions on a single‐input–single‐output (SISO) plant is that it is minimum phase, and that the plant relative