Necessary and sufficient conditions for absolute stability: the case of second-order systems
β Scribed by Margaliot, M.; Langholz, G.
- Book ID
- 121285073
- Publisher
- IEEE
- Year
- 2003
- Tongue
- English
- Weight
- 625 KB
- Volume
- 50
- Category
- Article
- ISSN
- 1057-7122
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
This paper presents new necessary and sufficient conditions for absolute stability of asymmetric neural networks. The main result is based on a solvable Lie algebra condition, which generalizes existing results for symmetric and normal neural networks. An exponential convergence estimate of the neur
## Abstract A set of necessary and sufficient conditions is stated and proved for the absolute stability (under any passive terminations), in the βbiboβ sense, of a linear __n__βport characterized by its openβcircuit impedance matrix. A more explicit set of such conditions is derived for the specia