Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

On the Optimality Condition for Optimal Control of Caputo Fractional Differential Equations with State Constraintsopen access

Authors
Moon, Jun
Issue Date
Jan-2023
Publisher
ELSEVIER
Keywords
Fractional calculus; fractional differential equations; maximum principle; variational analysis; Ekeland variational principle
Citation
IFAC PAPERSONLINE, v.56, no.1, pp.216 - 221
Indexed
SCOPUS
Journal Title
IFAC PAPERSONLINE
Volume
56
Number
1
Start Page
216
End Page
221
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/187567
DOI
10.1016/j.ifacol.2023.02.037
ISSN
2405-8963
Abstract
We consider the fractional optimal control problem with state constraints. The fractional calculus of derivatives and integrals can be viewed as generalizations of their classical ones to any arbitrary real order. In our problem setup, the dynamic constraint is captured by the Caputo fractional differential equation with order alpha is an element of (0,1), and the objective functional is formulated by the left Riemann-Liouville fractional integral with order beta >= 1. In addition, there are terminal and running state constraints; while the former is described by initial and final states within a convex set, the latter is given by an explicit instantaneous inequality state constraint. We obtain the maximum principle, the first-order necessary optimality condition, for the problem of this paper. Due to the inherent complex nature of the fractional control problem, the presence of the terminal and running state constraints, and the generalized standing assumptions, the maximum principle of this paper is new in the optimal control problem context, and its proof requires to develop new variational and duality analysis using fractional calculus and functional analysis, together with the Ekeland variational principle and the spike variation.
Files in This Item
Appears in
Collections
서울 공과대학 > 서울 전기공학전공 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Moon, Jun photo

Moon, Jun
COLLEGE OF ENGINEERING (MAJOR IN ELECTRICAL ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE