𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Analysis of linear distributed systems with random parameters and inputs

✍ Scribed by F. Tung; P.K.C. Wang

Publisher
Elsevier Science
Year
1963
Tongue
English
Weight
532 KB
Volume
275
Category
Article
ISSN
0016-0032

No coin nor oath required. For personal study only.

✦ Synopsis

This paper is concerned with the statistical analysis of first-order linear dlstributed-parameter systems with random parameters and random inputs. In both cases, Gaussian processes are assumed. This work essentially extends the statistical theory available for analyzing random linear lumped-parameter systems to a restricted class of distributed-parameter systems.

πŸ“œ SIMILAR VOLUMES

Analysis of Nonlinear Systems with Stoch
Analysis of Nonlinear Systems with Stochastic Input and Stochastic Parameters
✍ Y.H. Ku; T.S. Lin πŸ“‚ Article πŸ“… 1971 πŸ› Elsevier Science 🌐 English βš– 1014 KB

This paper gives an extension of the Volterra-functional method to the analysis of nonlinear systems with both stochastic iqut and stochastic parameters. In Section II, $rst-order linear systems with stochastic input and stochastic parameter are analyzed. Certain desnitions and symbolic relations ar

Linear modelling of multivariable system
Linear modelling of multivariable systems with pseudo-random binary input signals
✍ H.A. Barker; D. Raeside πŸ“‚ Article πŸ“… 1968 πŸ› Elsevier Science 🌐 English βš– 841 KB

Sumraary--Properties and methods of generation of pseudo-random binary signals are discussed. A theory of linear modelling is developed for multivariable systems in which these signals form the inputs. Modelling with delay operators and exponential weighting function operators is considered. Experim