## 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
✦ LIBER ✦
Unfalsified model reference adaptive control using the ellipsoid algorithm
✍ Scribed by Fabricio B. Cabral; Michael G. Safonov
- Publisher
- John Wiley and Sons
- Year
- 2004
- Tongue
- English
- Weight
- 149 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0890-6327
- DOI
- 10.1002/acs.827
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## Abstract The use of multiple models for adaptively controlling an unknown continuous‐time linear system was proposed in Narendra and Balakrishnan (__IEEE Transactions on Automatic Control__ 1994; **39**(9):1861–1866). and discussed in detail in Narendra and Xiang (__IEEE Transactions on Automati