๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Model reduction for control systems with parameter variations

โœ Scribed by J.M. Lin; K.W. Han

Publisher
Elsevier Science
Year
1984
Tongue
English
Weight
729 KB
Volume
317
Category
Article
ISSN
0016-0032

No coin nor oath required. For personal study only.

โœฆ Synopsis

The effects of model reduction on control systems with parameter variations are investigated. In order to reduce these effects, two modljied Padk approximation methods are used so that the reduced models can approximate the frequency response of the original transfer function not only at s = 0 and s = 00 but also at a selected point on thejiiequency response curve of the original transferfunction. Examples are shown and compared with the methods given in the current literature.

๐Ÿ“œ SIMILAR VOLUMES

Model reduction for control systems with
Model reduction for control systems with restricted complexity controllers
โœ A. Lepschy; U. Viaro ๐Ÿ“‚ Article ๐Ÿ“… 1985 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 563 KB

The problem of reduced-order modelling is considered in connection with the design of restricted complexity controllers. The suggested reduction method develops in two phases : (i) a simplefrequency response of the overallfeedback control system is determined according to the design specifications ;

Sensitivity of linear control systems to
Sensitivity of linear control systems to large parameter variations
โœ N.H. McClamroch; L.G. Clark; J.K. Aggarwal ๐Ÿ“‚ Article ๐Ÿ“… 1969 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 555 KB

This paper is concerned with the sensitivity of a linear system-quadratic type cost functional to large parameter variations in the description of the linear system. For some class of parameter variations e and some real number p, the concept of p-sensitivity is introduced: /)-sensitivity occurs ff