@inproceedings{a84b625078c04469b9efce94429d1be2,
title = "Event-Triggered Distributed Aggregative Optimization of Heterogeneous High-Order Systems",
abstract = "This article investigates the event-triggered distributed aggregative optimization problem for heterogeneous higher-order integrator systems. A novel distributed event-triggered algorithm ETDAO is proposed that integrates the dynamic average consensus technique with the gradient descent method to efficiently solve the aggregative optimization problem. Under the event-triggered scheme, continuous communication between agents is avoided. The exponential convergence of the algorithm is established through rigorous stability analysis. Finally, the efficiency of the algorithm is verified by numerical simulations.",
keywords = "Distributed aggregative optimization, Event-triggered strategy, Heterogeneous higher-order dynamics",
author = "Rongji Xie and Yu Zhao",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.; 9th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2025 ; Conference date: 31-10-2025 Through 03-11-2025",
year = "2026",
doi = "10.1007/978-981-95-8435-2\_34",
language = "英语",
isbn = "9789819584345",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "413--424",
editor = "Qing Wang and Xiwang Dong and Peng Song",
booktitle = "Proceedings of 2025 9th Chinese Conference on Swarm Intelligence and Cooperative Control - Swarm Control Technologies",
}