Title: Dynamic resource adjustment of hierarchical control Petri nets

Authors: Yuxiao Zhu; Jinliang Xue

Addresses: Department of Automation, Shanghai Jiao Tong University, Shanghai, 200240, China ' National Security Internet Co., Ltd., Ningbo Artificial Intelligence Institute, Shanghai Jiao Tong University, Ningbo, 315000, China

Abstract: Efficient resource allocation is critical in water treatment systems to ensure reliable operation and manage anomalies. This study proposes a flow allocation algorithm based on hierarchical control Petri nets. Through dynamic rate adjustment and integration of boundary constraints and priority strategies, it achieves resource optimization. A hierarchical control mechanism is also established for resource scheduling in hybrid systems.Using a dynamic water supply system as an example, experiments validate the algorithm's applicability in scenarios like liquid level overflow and insufficient flow. Results show that the system restores liquid levels effectively while ensuring high-priority resource needs, providing a comprehensive solution for resource management and anomaly handling in water treatment systems.

Keywords: Petri nets; hybrid systems; hierarchical control; priority Allocation; dynamic flow rate allocation.

DOI: 10.1504/IJSCIP.2025.146952

International Journal of System Control and Information Processing, 2025 Vol.4 No.3, pp.253 - 272

Received: 26 Dec 2024
Accepted: 06 Jan 2025
Published online: 27 Jun 2025 *

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