ALMOST SURE BOUNDEDNESS OF RANDOMLY SAMPLED SYSTEMS,

Abstract

The paper discusses the almost sure boundedness of linear and nonlinear randomly sampled systems. It is shown that if an autonomous linear randomly sampled system exhibits almost sure asymptotic stability, then the system is almost surely bounded input-bounded output. Moreover, for a bounded input, the second moment of the out-put remains bounded and this bound is easily computable. It is also found that linear or nonlinear systems which are almost surely asymptotically stable for a null input, remain almost surely bounded when the input consists of an uncorrelated noise with finite variance. (Author)

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1970
Accession Number
AD0701779

Entities

People

  • E. I. Jury
  • R. G. Agniel

Organizations

  • University of California, Berkeley

Tags

DTIC Thesaurus Topics

  • Nonlinear Systems

Fields of Study

  • Mathematics

Readers

  • Control Systems Engineering.
  • Statistical inference.