๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Transfer function modeling of multi-link flexible structures

โœ Scribed by Yoram Halevi; Clarice Wagner-Nachshoni

Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
294 KB
Volume
296
Category
Article
ISSN
0022-460X

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

DYNAMICS OF A FLEXIBLE MULTI-LINK COSMIC
DYNAMICS OF A FLEXIBLE MULTI-LINK COSMIC ROBOT-MANIPULATOR
โœ V.I. GOULIAEV; T.V. ZAVRAZHINA ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 351 KB

The problem of dynamic and kinematic control of the spatial movements of a #exible multi-link manipulator, mounted on a platform freely moving in cosmic space, is de"ned. Allowance for distributed properties of elasticity and inertia of the manipulator links is made, based upon the design model of t

NON-MODEL-BASED POSITION CONTROL OF A PL
NON-MODEL-BASED POSITION CONTROL OF A PLANAR MULTI-LINK FLEXIBLE ROBOT
โœ S.S. Ge; T.H. Lee; G. Zhu ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 241 KB

This paper presents a class of non-model-based position controllers for a planar multi-link flexible robot. One can achieve not only the closed-loop stability of the original distributed parameter system, but also the asymptotic stability of the truncated system, which is obtained through representi

Sales forecasting using multi-equation t
Sales forecasting using multi-equation transfer function models
โœ Lon-Mu Liu ๐Ÿ“‚ Article ๐Ÿ“… 1987 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 901 KB

The purpose of this study is first, to demonstrate how multivariate forecasting models can be effectively used to generate high performance forecasts for typical business applications. Second, this study compares the forecasts generated by a simultaneous transfer function model (STF) model and a whi

Identification of the multi-input box-Je
Identification of the multi-input box-Jenkins transfer function model
โœ Per-Olov Edlund ๐Ÿ“‚ Article ๐Ÿ“… 1984 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 712 KB

In this paper different ways to identify the order of the Box-Jenkins transfer function model are discussed. The discussion concerns estimation of the impulse response weight function in the case of more than one input variable. It is found that most of the existing methods are either unsuitable whe