An Application of a Neural Self-Tuning Controller to an Overhead Crane
✍ Scribed by J.A. Méndez; L. Acosta; L. Moreno; S. Torres; G.N. Marichal
- Publisher
- Springer-Verlag
- Year
- 1999
- Tongue
- English
- Weight
- 156 KB
- Volume
- 8
- Category
- Article
- ISSN
- 0941-0643
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
An algorithmic approach to feedback control design is introduced. It simplifies the existing iterative design process, which is often tedious, by reducing the design problem to solving a set of linear algebraic equations. The algorithmic nature of sueh an approach makes it attractive to not only off
Ergonomics studies, on the machine control and the resultant movements of the cabins and the hooks in 51 electric overhead travelling cranes in a heavy engineering factory, showed that control-movement compatibility is absent in most of the cranes. Also, the layout of the groups of controls and the