๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

A general orthogonal polynomial approach to the sensitivity analysis of linear systems

โœ Scribed by Om Prakash Agrawal


Publisher
Elsevier Science
Year
1993
Tongue
English
Weight
974 KB
Volume
330
Category
Article
ISSN
0016-0032

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


NON-LINEAR GENERALIZATION OF PRINCIPAL C
โœ G. KERSCHEN; J.-C. GOLINVAL ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 288 KB

Principal component analysis (PCA), also known as proper orthogonal decomposition or Karhunen}Loe`ve transform, is commonly used to reduce the dimensionality of a data set with a large number of interdependent variables. PCA is the optimal linear transformation with respect to minimizing the mean sq

A HYBRID FORMULATION FOR THE ANALYSIS OF
โœ E.A. Butcher; S.C. Sinha ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 239 KB

## 1. ๏ฉ๏ฎ๏ด๏ฒ๏ฏ๏ค๏ต๏ฃ๏ด๏ฉ๏ฏ๏ฎ Recently several studies (see e.g. references [1,2]) have been reported in which the solutions of both constant and time-varying systems are expressed in terms of Chebyshev polynomials. The first applications of orthogonal polynomials to differential equations with periodic coeff

A contribution to the stability analysis
โœ G. Marchesini; G. Picci ๐Ÿ“‚ Article ๐Ÿ“… 1971 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 894 KB

Some results are presented relative to the L, stability of nonlinear systems represented by a nonlinear operator of functional polynomial type: >I~;])dt-Tl, . . ..t-+$+r. with reducible kernels. An algebraic approach to the analysis of these qatemr, ia used. I. Zntroduction

A heuristic approach to the design of li
โœ A. Niederlinski ๐Ÿ“‚ Article ๐Ÿ“… 1971 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 728 KB

Une approche heuristique/l l'rtude des syst~mes de commande linraires /t variables multiples et/t interactions Eine heuristische N/iherung ftir den Entwurf linearer multivariabler Regelungssysteme mit Wechselwirkung 3BpHCTI4qecKI4~ nO~XO)l r pacc~ieTy .IIHHefiHblX MI-IOrOKOOp~HHaTHblX CHCTeM ynpaBJi