THE DIGITAL ADAPTIVE CONTROL OF A LINEAR PROCESS MODULATED BY RANDOM NOISE
Abstract
A procedure for the design of a digital controller to compensate a certain class of linear timevarying processes is presented. The process time variation may be rapid compared to the input signals and is assumed to be caused by modulation of a plant with known parameters (perhaps also time-varying) by a number of correlated random disturbances. The general results are applied through digital computer simulation to an example involving a plant modulated at the input by correlated random noise. The adaptive controller employed to compensate this plant is shown to produce far better performance than a nonadaptive fixed controller which cannot take noise correlation into account. Finally, a method of generating sets of correlated gaussian time series with specified cross-and autocorrelation functions is described. Such a technique is required in the simulation study, as well as having important applications in many other fields. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 01, 1962
- Accession Number
- AD0271714
Entities
People
- Christopher Pottle
Organizations
- University of Illinois Urbana–Champaign