Minimum variance adaptive control schemes are considered. By means of the concept of excitation subspace, the notion of effective identification algorithm is introduced. It is shown that, if the system to be controlled is noise-free and minimum phase, the tracking error tends to zero provided that t
โฆ LIBER โฆ
Adaptive identification and control algorithms for nonlinear bacterial growth systems
โ Scribed by D. Dochain; G. Bastin
- Book ID
- 107724570
- Publisher
- Elsevier Science
- Year
- 1984
- Tongue
- English
- Weight
- 795 KB
- Volume
- 20
- Category
- Article
- ISSN
- 0005-1098
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In the field of data-based control system design, nonlinear parametric functions play a key role, in fitting sets of measured data. In many cases, one of the constraints one may wish to impose on the estimated function is the invertibility with respect to one input, a constraint typically hard to ha