Recovery-matrix inverse optimal control for deterministic feedforward-feedback controllers

Mahsa Parsapour, Dana Kulic

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

3 Citations (Scopus)

Abstract

This paper presents an optimisation approach to solve the inverse optimal control problem when the controller is in the feedforward-feedback form. The goal of inverse optimal control is to recover the cost function from the observed trajectory. We consider the problem of direct and inverse optimal control for both linear and nonlinear systems, assuming a quadratic cost function structure. We adapt the recovery matrix inverse optimal control approach, originally developed for recovering the cost matrices from trajectories observed under feedforward control, and apply it to trajectories observed from systems controlled in the feedback form plus the additional feedforward term for nonlinear systems, and the feedback form for linear systems. Accurate cost function recovery is demonstrated via simulation examples with both linear and nonlinear systems.

Original languageEnglish
Title of host publication2021 American Control Conference, ACC 2021
EditorsKristi A. Morgansen
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages4765-4770
Number of pages6
ISBN (Electronic)9781665441971, 9781665441988
ISBN (Print)9781728197043
DOIs
Publication statusPublished - 2021
Externally publishedYes
EventAmerican Control Conference 2021 - Online, New Orleans, United States of America
Duration: 25 May 202128 May 2021
https://ieeexplore.ieee.org/xpl/conhome/9482409/proceeding (Proceedings)

Publication series

NameProceedings of the American Control Conference
PublisherIEEE, Institute of Electrical and Electronics Engineers
Volume2021-May
ISSN (Print)0743-1619
ISSN (Electronic)2378-5861

Conference

ConferenceAmerican Control Conference 2021
Abbreviated titleACC 2021
Country/TerritoryUnited States of America
CityNew Orleans
Period25/05/2128/05/21
Internet address

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