Back to results

Rice University

Combined gradient-restoration algorithm for optimal control problems

Abstract

dc:description.abstract

The problem of minimizing a functional I subject to differential constraints, nondifferential constraints, and general boundary conditions is considered in this thesis. It consists of finding the state x(t), the control u(t), and the parameter-rr so that the functional I is minimized, while the constraints and the boundary conditions are satisfied to a predetermined accuracy. A combined gradient-restoration algorithm is developed. This is an iterative algorithm characterized by variations Ax(t), Au(t), Air leading toward satisfaction of the optimality conditions, while simultaneously leading toward constraint satisfaction. The variations Ax(t), Au(t), Air are generated by requiring the first variations of the augmented functional J and the constraint error P to be negative. The procedure leads to a linear, two-point boundary-value problem, which is solved via the method of particular solutions. The descent properties of the algorithm are studied, and schemes to determine the optimum stepsize are discussed. In order to improve the convergence characteristics, the inclusion of a restoration phase is studied. In this connection, three versions of the algorithm are studied: the combined gradient-restoration algorithm (CGRA); the combined gradient-restoration algorithm with alternate restoration (CGRA-AR); and the combined gradient-restoration algorithm with complete restoration (CGRA-CR). A comparison of these versions with the sequential gradient-restoration algorithm (SGRA) is also made. Three numerical examples are presented to illustrate the different approaches. Key Words. Numerical methods, optimal control, gradient methods, combined gradient-restoration algorithm, differential constraints, nondifferential constraints, general boundary conditions.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
Masters
Discipline thesis:degree_discipline
Engineering
Grantor
Rice University
Year dc:date.issued
1983

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Basapur, Venkatesh K.
Advisor dc:contributor.advisor
  • Miele, Angelo
Committee members dc:contributor.committeemember
  • Douglas, Andrew S.
  • Merwin, John E.

Rights

dc:rights
Statement dc:rights
  • Copyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1911/104423
OAI identifier oai:identifier
oai:repository.rice.edu:1911/104423

Chain of custody

source
Harvested from
Rice University
Base URL
repository.rice.edu/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Basapur, Venkatesh K.. Combined gradient-restoration algorithm for optimal control problems. Masters thesis, Rice University, 1983. https://hdl.handle.net/1911/104423