Univariate Theory of Functional Connections Applied to Component Constraints
This work presents a methodology to derive analytical functionals, with embedded linear constraints among the components of a vector (e.g., coordinates) that is a function a single variable (e.g., time). This work prepares the background necessary for the indirect solution of optimal control problem...
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doaj-f3e8b81b791145b4bc1947a2094215cd2021-01-15T00:01:44ZengMDPI AGMathematical and Computational Applications1300-686X2297-87472021-01-01269910.3390/mca26010009Univariate Theory of Functional Connections Applied to Component ConstraintsDaniele Mortari0Roberto Furfaro1Aerospace Engineering, Texas A&M University, College Station, TX 77843, USASystems and Industrial Engineering, Aerospace and Mechanical Engineering, The University of Arizona, Tucson, AZ 85721, USAThis work presents a methodology to derive analytical functionals, with embedded linear constraints among the components of a vector (e.g., coordinates) that is a function a single variable (e.g., time). This work prepares the background necessary for the indirect solution of optimal control problems via the application of the Pontryagin Maximum Principle. The methodology presented is part of the univariate Theory of Functional Connections that has been developed to solve constrained optimization problems. To increase the clarity and practical aspects of the proposed method, the work is mostly presented via examples of applications rather than via rigorous mathematical definitions and proofs.https://www.mdpi.com/2297-8747/26/1/9constraint optimizationfunctional interpolationindirect optimal control |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Daniele Mortari Roberto Furfaro |
spellingShingle |
Daniele Mortari Roberto Furfaro Univariate Theory of Functional Connections Applied to Component Constraints Mathematical and Computational Applications constraint optimization functional interpolation indirect optimal control |
author_facet |
Daniele Mortari Roberto Furfaro |
author_sort |
Daniele Mortari |
title |
Univariate Theory of Functional Connections Applied to Component Constraints |
title_short |
Univariate Theory of Functional Connections Applied to Component Constraints |
title_full |
Univariate Theory of Functional Connections Applied to Component Constraints |
title_fullStr |
Univariate Theory of Functional Connections Applied to Component Constraints |
title_full_unstemmed |
Univariate Theory of Functional Connections Applied to Component Constraints |
title_sort |
univariate theory of functional connections applied to component constraints |
publisher |
MDPI AG |
series |
Mathematical and Computational Applications |
issn |
1300-686X 2297-8747 |
publishDate |
2021-01-01 |
description |
This work presents a methodology to derive analytical functionals, with embedded linear constraints among the components of a vector (e.g., coordinates) that is a function a single variable (e.g., time). This work prepares the background necessary for the indirect solution of optimal control problems via the application of the Pontryagin Maximum Principle. The methodology presented is part of the univariate Theory of Functional Connections that has been developed to solve constrained optimization problems. To increase the clarity and practical aspects of the proposed method, the work is mostly presented via examples of applications rather than via rigorous mathematical definitions and proofs. |
topic |
constraint optimization functional interpolation indirect optimal control |
url |
https://www.mdpi.com/2297-8747/26/1/9 |
work_keys_str_mv |
AT danielemortari univariatetheoryoffunctionalconnectionsappliedtocomponentconstraints AT robertofurfaro univariatetheoryoffunctionalconnectionsappliedtocomponentconstraints |
_version_ |
1724337889405304832 |