𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A computational method for the determination of the response of a linear system

✍ Scribed by R.E. Mickens; K. Oyedeji; K.R. Speight


Publisher
Elsevier Science
Year
1987
Tongue
English
Weight
166 KB
Volume
112
Category
Article
ISSN
0022-460X

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


A computational method for finding the z
✍ E.J. Davison πŸ“‚ Article πŸ“… 1970 πŸ› Elsevier Science 🌐 English βš– 299 KB

calculating the zeros of the transfer function which exists between an input and output of an arbitrary multivariable linear time invariant systemβ€’ The method is simple to use; is computationally fast and is accurate. Some numerical examples for a 9th order system are included.

A computational method for determining q
✍ E.J. Davison; E.M. Kurak πŸ“‚ Article πŸ“… 1971 πŸ› Elsevier Science 🌐 English βš– 703 KB

A numerical method may be used to obtain a quadratic Lyapunov Function for a high order system x= f(x), where f(x) is a continuous function of x, so that the vohtme of the asymptotic stability reagion obtained is maximised. Summary--This paper deals with the problem of automatically constructing a

A computational method for determination
✍ W.Keith Prusaczyk; Ira Jacobs; Timothy Bowden; Tom M. McLellan πŸ“‚ Article πŸ“… 1993 πŸ› Elsevier Science 🌐 English βš– 385 KB

The individual anaerobic threshold (IAT) has received attention recently in the field of exercise physiology. The IAT is defined as the point during progressive exercise when lactate elimination from rhe blood is both masimal and equal to the diffusion from the working muscles. It ha> been theorized

AN ORIGINAL METHOD FOR COMPUTING THE RES
✍ J. Perret-Liaudet πŸ“‚ Article πŸ“… 1996 πŸ› Elsevier Science 🌐 English βš– 253 KB

An original method to compute the steady state forced response of linear systems with periodically varying parameters under external excitations is proposed. The procedure is based on a modal approach with developments in the frequency domain. By using an iterative scheme to construct the approximat