Use of Modulating Functions for System Identification.

Abstract

A major goal of research on physiologic processes is the derivation of a mathematical model of the system under test. With the growth of modern control theory, mathematical methods have been and are being developed to reliably obtain parameters of an estimated system from experimental data. The report investigates the modulating function method of system identification first described by Loeb and Cahen. The method is applicable to systems described by linear differential equations, and tests of the method show that it is suitable for use with both analytic and operational data. Certain restrictions exist on the method, however. To test the method, a general model of the closed-loop carotid blood pressure control system was derived and tested. (Author)

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1970
Accession Number
AD0717847

Entities

People

  • Thomas E. Simondi

Organizations

  • United States Air Force School of Aerospace Medicine

Tags

DTIC Thesaurus Topics

  • Cardiovascular Physiological Phenomena
  • Control Systems
  • Control Theory
  • Differential Equations
  • Equations
  • Experimental Data
  • Identification
  • Linear Differential Equations
  • Mathematical Analysis
  • Mathematical Models
  • Mathematics
  • Models

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Calculus or Mathematical Analysis
  • Cardiovascular Physiology

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms