๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Norm invariant discretization for sampled-data fault detection

โœ Scribed by Iman Izadi; Tongwen Chen; Qing Zhao


Book ID
103824225
Publisher
Elsevier Science
Year
2005
Tongue
English
Weight
188 KB
Volume
41
Category
Article
ISSN
0005-1098

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Induced norms for sampled-data systems
โœ N. Sivashankar; Pramod P. Khargonekar ๐Ÿ“‚ Article ๐Ÿ“… 1992 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 465 KB

In this paper, we consider a general linear interconnection of a continuous-time plant and a discretetime controller via sample and hold devices. When the closed loop sampled-data feedback system is internally stable, bounded inputs produce bounded outputs. We present some explicit formulae for the

Optimal fault detection for linear discr
โœ Maiying Zhong; Steven X. Ding; Eve L. Ding ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 439 KB

This paper deals with the problem of observer-based fault detection for linear discrete time-varying (LDTV) systems. A problem formulation is first proposed to address the optimization of the fault detection filter (FDF) design, which is expressed in terms of maximizing a finite horizon H โˆž /H โˆž or