A new inverse optimal control method for discrete-time systems

Moayed Almobaied, Ibrahim Eksin, Mujde Guzelkaya

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Citations (Scopus)

Abstract

This paper presents a new approach based on extended kalman filter (EKF) to construct a control lyapunov function (CLF). This function will be used in establishing the control law of inverse optimal control for discrete-time nonlinear systems. The main aim of the inverse optimal control is to avoid the solution of the difficult Hamilton-Jacobi-Bellman (HJB) equation which is resulted from the traditional solution of nonlinear optimal control problem. The relevance of the proposed scheme is illustrated through MATLAB simulation. The results show the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationICINCO 2015 - 12th International Conference on Informatics in Control, Automation and Robotics, Proceedings
EditorsJoaquim Filipe, Joaquim Filipe, Kurosh Madani, Oleg Gusikhin, Jurek Sasiadek
PublisherSciTePress
Pages275-280
Number of pages6
ISBN (Electronic)9789897581229
DOIs
Publication statusPublished - 2015
Event12th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2015 - Colmar, Alsace, France
Duration: 21 Jul 201523 Jul 2015

Publication series

NameICINCO 2015 - 12th International Conference on Informatics in Control, Automation and Robotics, Proceedings
Volume1

Conference

Conference12th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2015
Country/TerritoryFrance
CityColmar, Alsace
Period21/07/1523/07/15

Keywords

  • Control lyapunov function (CLF)
  • Extended kalman filter (EKF)
  • Hamilton-Jacobi-Bellman (HJB) equation
  • Inverse optimal control

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