Adaptive minimum cost-Lyapunov-descent control of nonlinear systems

Vincent L. Rawls*, Randy A Freeman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

An adaptive method for improved cost performance in nonlinear Lyapunov-based design is presented. The method is based on the idea of Lyapunov optimizing control [6] and is descrete in nature. The goal of this method is to improve cost performance in nonlinear systems when Lyapunov-based stabilizing controllers are used. The method takes advantage of Lyapunov stability techniques while adaptively choosing descent directions to provide a reduction in cost.

Original languageEnglish (US)
Pages (from-to)1649-1653
Number of pages5
JournalProceedings of the American Control Conference
Volume3
StatePublished - Dec 1 2000

ASJC Scopus subject areas

  • Control and Systems Engineering

Fingerprint Dive into the research topics of 'Adaptive minimum cost-Lyapunov-descent control of nonlinear systems'. Together they form a unique fingerprint.

Cite this