Control of Dynamical Systems

Abstract

The problem of arbitrarily assigning closed loop poles of a linear multivariable system developed a new method, a generalization of the classical root locus method. Studies have also been conducted on the attainment to stable solutions of model matching problems. A technique was developed, based on a modified minimum energy regulator problem, to obtain feedback stabilization of linear time varying differential systems. Two methods of parameter identification for linear differential systems were developed. A study was made of bilinear control systems with applications to parachute gliding systems and the pursuit-evasion missile control problem. Studies were made of linear operator feedback for the compensation and control of multivariable systems. A number of computational methods and techniques for control problems with diffusion models were developed, in addition to the study of the application of Monte Carlo methods for the optimization of constrained noisy systems. The study of bifurcation problems has been pursued from the abstract viewpoint and for specific applications. Studies were continued for systems described by ordinary and functional differential equations.

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Document Details

Document Type
Technical Report
Publication Date
Jul 30, 1976
Accession Number
ADA031020

Entities

People

  • Ettore Ferrari Infante
  • J. P. Lasalle

Organizations

  • Brown University

Tags

Communities of Interest

  • Biomedical
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Applied Mathematics
  • Closed Loop Systems
  • Computational Fluid Dynamics
  • Computational Science
  • Control Systems
  • Difference Equations
  • Differential Equations
  • Mathematical Analysis
  • Mathematical Filters
  • Mathematical Models
  • Mechanics
  • Monte Carlo Method
  • Nonlinear Algebraic Equations
  • Nonlinear Analysis
  • Partial Differential Equations
  • Theorems

Fields of Study

  • Engineering

Readers

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