Optimization of Systems with Constant Pure Time Delay,

Abstract

There are many control processes of practical engineering interest which involve nonnegligible time delays in the behavior of the quantities being controlled. These hereditary effects have a considerable importance during the evolution of the process. The mathematical formulation of these processes with time delay can be expressed by a system of differential-difference equations. Necessary conditions of optimality for systems with pure time delay are examined. An outline of the proof of the maximum principle for a special class of time delay systems is presented using the geometrical approach of Pontryagin. The system being considered is linear with respect to the control and the delayed control. A new computational approach for optimization of linear time delay (differential-difference) systems with quadratic performance indices is presented. The method utilizes parameter imbedding, and transforms the advanced-delayed type two point boundary value form of necessary conditions to a sequence of conventional non-delayed linear boundary value problems. The method leads to a truncated Maclaurin series approximation for the optimum control. A theorem concerning the degree of approximation of the truncated Maclaurin series is proved. Computational results for several examples are presented. A suboptimal state feedback control is also considered. Extension of the imbedding method to treat nonlinear systems with constant pure time delay is accomplished when the method is used in conjunction with the quasilinearization technique. A numerical example is presented to demonstrate this approach. (Author)

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1971
Accession Number
AD0732476

Entities

People

  • Hing Chun Chan

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Boundaries
  • Boundary Value Problems
  • Difference Equations
  • Differential Equations
  • Engineering
  • Equations
  • Feedback
  • Mathematics
  • Nonlinear Systems
  • Optimization
  • Personal Information Managers
  • Sequences

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Calculus or Mathematical Analysis