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
Speed gradient adaptive control algorithms for mechanical systems
β Scribed by A. L. Fradkov; A. A. Stotsky
- Publisher
- John Wiley and Sons
- Year
- 1992
- Tongue
- English
- Weight
- 467 KB
- Volume
- 6
- Category
- Article
- ISSN
- 0890-6327
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
A two-stage spring-lumped mass system was designed and built to investigate the suppression of vibration amplitude and the coupling tracking control problems. Disregarding the non-linear factors and unknown parameters, the system mathematical model could be formulated by using the state variable tec
In order to facilitate the utilization of single-chip microcomputers for adaptive control some extremely simple algorithms have been developed. The simplicity has been achieved by using performance criteria based on geometrical properties of the control error process while the adaptation acts like a