𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Using nullors to analyse linear networks

✍ Scribed by J. A. Svoboda


Book ID
102814246
Publisher
John Wiley and Sons
Year
1986
Tongue
English
Weight
584 KB
Volume
14
Category
Article
ISSN
0098-9886

No coin nor oath required. For personal study only.

✦ Synopsis


Analysis of linear networks using nullors is considered. A simplified procedure is presented for doing nodal analysis of RLC nullor networks by computer. It is shown that using nullors to analyse linear networks is equivalent to doing modified nodal analysis.


πŸ“œ SIMILAR VOLUMES


Modified State Equations to Represent Ch
✍ J.A. Svoboda; D.P. Brown πŸ“‚ Article πŸ“… 1984 πŸ› Elsevier Science 🌐 English βš– 775 KB

Linear active networks are modeled as RC-Nullor networks. This makes available nodal analysis. The state equations of an RC-Nullor network are related to the node equations. This relationship is used to show how the state equations of an RC-Nullor network should be modified when the network is chang

Feedback linearization using neural netw
✍ A. Yeşildirek; F.L. Lewis πŸ“‚ Article πŸ“… 1995 πŸ› Elsevier Science 🌐 English βš– 598 KB

For a class of single-input single-output continuous-time nonlinear systems, a multilayer neural network-based controller that feedback-linearizes the system is presented. Control action is used to achieve tracking performance for a state-feedback linearizable but unknown nonlinear system. The contr

Using the general linear mixed model to
✍ Avital Cnaan; Nan M. Laird; Peter Slasor πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 336 KB πŸ‘ 3 views

The general linear mixed model provides a useful approach for analysing a wide variety of data structures which practising statisticians often encounter. Two such data structures which can be problematic to analyse are unbalanced repeated measures data and longitudinal data. Owing to recent advances