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Bibliographic Details
Main Authors: Taghavian, Ali, Safi, Ali, Khanmirza, Esmaeel
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2511.00420
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author Taghavian, Ali
Safi, Ali
Khanmirza, Esmaeel
author_facet Taghavian, Ali
Safi, Ali
Khanmirza, Esmaeel
contents Hybrid dynamical systems are viewed as the most complicated systems with continuous and event-based behaviors. Since traditional controllers cannot handle these systems, some newly-developed controllers have been published in recent decades to deal with them. This paper presents a novel implementable constrained final-state controller based on partitioning the system's state-space, computational simulations, and graph theory. Experimental results and a comparison with Model Predictive Controller on the three tank benchmark and swing-up control of a pendulum show the effectiveness of the proposed Computational Hybrid Controller(CHC).
format Preprint
id arxiv_https___arxiv_org_abs_2511_00420
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Constrained computational hybrid controller for Input Affine Hybrid Dynamical Systems
Taghavian, Ali
Safi, Ali
Khanmirza, Esmaeel
Systems and Control
Hybrid dynamical systems are viewed as the most complicated systems with continuous and event-based behaviors. Since traditional controllers cannot handle these systems, some newly-developed controllers have been published in recent decades to deal with them. This paper presents a novel implementable constrained final-state controller based on partitioning the system's state-space, computational simulations, and graph theory. Experimental results and a comparison with Model Predictive Controller on the three tank benchmark and swing-up control of a pendulum show the effectiveness of the proposed Computational Hybrid Controller(CHC).
title Constrained computational hybrid controller for Input Affine Hybrid Dynamical Systems
topic Systems and Control
url https://arxiv.org/abs/2511.00420