Self-Triggered Optimal Control Based on Path Search Algorithm

This paper proposes a path search formulation and its solution method to a finite optimal control problem on self-triggered control systems. Previous methods to the problem have high computational complexity. This paper focuses on the formulation and its data structure for reduction of calculation t...

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Main Authors: Yoshiki Nagatani, Kenji Sawada, Seiichi Shin
Format: Article
Language:English
Published: Taylor & Francis Group 2019-05-01
Series:SICE Journal of Control, Measurement, and System Integration
Subjects:
Online Access:http://dx.doi.org/10.9746/jcmsi.12.85
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author Yoshiki Nagatani
Kenji Sawada
Seiichi Shin
author_facet Yoshiki Nagatani
Kenji Sawada
Seiichi Shin
author_sort Yoshiki Nagatani
collection DOAJ
description This paper proposes a path search formulation and its solution method to a finite optimal control problem on self-triggered control systems. Previous methods to the problem have high computational complexity. This paper focuses on the formulation and its data structure for reduction of calculation time and reformulates the optimal control problem to a path search problem. We also consider a data structure of a graph for the path search problem. The key point is the sharing of vertices. The sharing leads to the reduction of calculation time. We compare the calculation time of the path search algorithm and the mixed-logical dynamical method.
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spelling doaj.art-a650f0e996874133b92059c40e997a7c2023-10-12T13:43:55ZengTaylor & Francis GroupSICE Journal of Control, Measurement, and System Integration1884-99702019-05-01123859310.9746/jcmsi.12.8512103256Self-Triggered Optimal Control Based on Path Search AlgorithmYoshiki Nagatani0Kenji Sawada1Seiichi Shin2Graduate School of Informatics and Engineering, The University of Electro-CommunicationsInfo-Powered Energy System Research Center, The University of Electro-CommunicationsGraduate School of Informatics and Engineering, The University of Electro-CommunicationsThis paper proposes a path search formulation and its solution method to a finite optimal control problem on self-triggered control systems. Previous methods to the problem have high computational complexity. This paper focuses on the formulation and its data structure for reduction of calculation time and reformulates the optimal control problem to a path search problem. We also consider a data structure of a graph for the path search problem. The key point is the sharing of vertices. The sharing leads to the reduction of calculation time. We compare the calculation time of the path search algorithm and the mixed-logical dynamical method.http://dx.doi.org/10.9746/jcmsi.12.85self-triggered control systemsfinite optimal control problempath searchdynamic programming
spellingShingle Yoshiki Nagatani
Kenji Sawada
Seiichi Shin
Self-Triggered Optimal Control Based on Path Search Algorithm
SICE Journal of Control, Measurement, and System Integration
self-triggered control systems
finite optimal control problem
path search
dynamic programming
title Self-Triggered Optimal Control Based on Path Search Algorithm
title_full Self-Triggered Optimal Control Based on Path Search Algorithm
title_fullStr Self-Triggered Optimal Control Based on Path Search Algorithm
title_full_unstemmed Self-Triggered Optimal Control Based on Path Search Algorithm
title_short Self-Triggered Optimal Control Based on Path Search Algorithm
title_sort self triggered optimal control based on path search algorithm
topic self-triggered control systems
finite optimal control problem
path search
dynamic programming
url http://dx.doi.org/10.9746/jcmsi.12.85
work_keys_str_mv AT yoshikinagatani selftriggeredoptimalcontrolbasedonpathsearchalgorithm
AT kenjisawada selftriggeredoptimalcontrolbasedonpathsearchalgorithm
AT seiichishin selftriggeredoptimalcontrolbasedonpathsearchalgorithm