2020
DOI: 10.19139/soic-2310-5070-939
|View full text |Cite
|
Sign up to set email alerts
|

A General Framework for Optimal Control of Fractional Nonlinear Delay Systems by Wavelets

Abstract: An iterative procedure to find the optimal solutions of general fractional nonlinear delay systems with quadraticperformance indices is introduced. The derivatives of state equations are understood in the Caputo sense. By presenting and applying a general framework, we use the Chebyshev wavelet method developed for fractional linear optimal control to convert fractional nonlinear optimal control problems as a sequence of quadratic programming ones. The concepts and computational procedure that are used for fra… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
5
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 6 publications
(5 citation statements)
references
References 24 publications
(49 reference statements)
0
5
0
Order By: Relevance
“…Case 1 of this problem was studied in [31] by using the Riemann-Liouville integral operational matrix which the main problem was replaced with a sequence of linear problems. We see the proposed general framework by using the Caputo derivative operational matrices of the both wavelets, converges again to a solution and the results of J * are reported in Table 5.…”
Section: Illustrative Examplesmentioning
confidence: 99%
See 3 more Smart Citations
“…Case 1 of this problem was studied in [31] by using the Riemann-Liouville integral operational matrix which the main problem was replaced with a sequence of linear problems. We see the proposed general framework by using the Caputo derivative operational matrices of the both wavelets, converges again to a solution and the results of J * are reported in Table 5.…”
Section: Illustrative Examplesmentioning
confidence: 99%
“…We have R i = 0.5, k i = 0.5, , F = 0.5, V i = 0.5, δ 1 (t, x 1 (t − h 1 )) = θ 3 x 1 (t − h 1 ), h i = 0.25, t f = 5, δ 2 (x 2 (t − h 2 )) = 0.5θ 4 x 2 2 (t − h 2 )e 0.01x2(t−h2) , θ = [8, −8] , θ 1 = θ 2 = 2 and θ 3 = θ 4 = 1; the system is constrained by the following constraint x 2 1 (t) − x 2 2 (t) + u(t) ≤ 0, 0.25 ≤ t ≤ 5. For more details, see [31].…”
Section: Illustrative Examplesmentioning
confidence: 99%
See 2 more Smart Citations
“…In the last years numerous works have been developed tending to extend the theory of the variational calculus in order to be able to be applied to problems of fractional variational calculus. This is fundamentally due, on the one hand, to an important development of the fractional calculus both from the mathematical point of view and its applications in other areas (electricity, magnetism, mechanics, dynamics of fluids, medicine, etc [5,13,31]), which has led to great growth in its study in recent decades. On the other hand, the fractional differential equations establish models far superior to those that use differential equations with integer derivatives because they incorporate into the model issues of memory [11,21] or later effects that are neglected in the models with classical derivative.…”
Section: Introductionmentioning
confidence: 99%