Revisiting quasi-optimum control

Bernard Friedland

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

A technique of quasi-optimum control was developed by the author in 1966. The goal of the technique was to permit one to use the apparatus of optimum control theory without having to solve the two-point boundary value problem for the actual problem. This was achieved by assuming the actual problem is "near" a simplified problem the solution of which was known. In this case, the control law adds a linear correction to the costate of the simplified problem. The linear correction is obtained as the solution of a matrix Riccati equation. During the 1960s and early 1970s the efficacy of the technique was demonstrated in by several guidance and control examples. With the resurgence of interest in optimum control via the Hamilton-Jacobi-Bellman equation, it is timely to revisit the quasi-optimum control technique. After a review of the theory, several new examples are provided to illustrate how the technique can be applied. These include mildly nonlinear processes, processes with bounded-control, and processes with state-variable constraints. After a discussion of alternate suboptimal control techniques, the paper concludes with a discussion of some issues remaining with the method.

Original languageEnglish (US)
Title of host publicationProceedings of the 2006 American Control Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages292-297
Number of pages6
ISBN (Print)1424402107, 9781424402106
DOIs
StatePublished - 2006
Event2006 American Control Conference - Minneapolis, MN, United States
Duration: Jun 14 2006Jun 16 2006

Publication series

NameProceedings of the American Control Conference
Volume2006
ISSN (Print)0743-1619

Other

Other2006 American Control Conference
Country/TerritoryUnited States
CityMinneapolis, MN
Period6/14/066/16/06

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Revisiting quasi-optimum control'. Together they form a unique fingerprint.

Cite this