A HYBRID AALOG-DIGITAL PARAMETER OPTIMIZER FOR ASTRAC II,
Abstract
A new automatic multi-parameter optimizer for iterative differential analyzers employs sequential random parameter perturbation. The nominal parameter poant changes whenever the random perturbations inprove the system performance measure. Binary counters operate simple digital-to-analog converters to implement parameter storage, multiplication, and step-size changes. All-digital logic yields different types of random perturbations, viz. simple random walk, random walk with reflecting or absorbing barriers, and various types of correlation over successive perturbations. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 16, 1964
- Accession Number
- AD0434559
Entities
People
- Baker A. Mitchell Jr.
Organizations
- University of Arizona