Event-triggered distributed optimization for model-free multi-agent systems

被引：4

作者：

Zheng, Shanshan ^{[1
]}

Liu, Shuai ^{[1
]}

Wang, Licheng ^{[2
]}

机构：

[1] Univ Shanghai Sci & Technol, Coll Sci, Shanghai 200093, Peoples R China

[2] Shanghai Univ Elect Power, Coll Automat Engn, Shanghai 200090, Peoples R China

来源：

FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING | 2024年 / 25卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Distributed optimization; Multi-agent systems; Model-free adaptive control; Event-triggered mechanism; TP391.4; CONSENSUS; TIME;

D O I：

10.1631/FITEE.2300568

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, the distributed optimization problem is investigated for a class of general nonlinear model-free multi-agent systems. The dynamical model of each agent is unknown and only the input/output data are available. A model-free adaptive control method is employed, by which the original unknown nonlinear system is equivalently converted into a dynamic linearized model. An event-triggered consensus scheme is developed to guarantee that the consensus error of the outputs of all agents is convergent. Then, by means of the distributed gradient descent method, a novel event-triggered model-free adaptive distributed optimization algorithm is put forward. Sufficient conditions are established to ensure the consensus and optimality of the addressed system. Finally, simulation results are provided to validate the effectiveness of the proposed approach.

引用

页码：214 / 224

页数：11

共 44 条

[1] Data-Driven Multiagent Systems Consensus Tracking Using Model Free Adaptive Control [J].

Bu, Xuhui ;

Hou, Zhongsheng ;

Zhang, Hongwei .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 29 (05) :1514-1524

[2] Hierarchical multi-robot navigation and formation in unknown environments via deep reinforcement learning and distributed optimization [J].

Chang, Lu ;

Shan, Liang ;

Zhang, Weilong ;

Dai, Yuewei .

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2023, 83

[3] Distributed Recursive Filtering Over Sensor Networks With Nonlogarithmic Sensor Resolution [J].

Chen, Hongwei ;

Wang, Zidong ;

Shen, Bo ;

Liang, Jinling .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2022, 67 (10) :5408-5415

[4] State Estimation for Stochastic Time-Varying Boolean Networks [J].

Chen, Hongwei ;

Wang, Zidong ;

Liang, Jinling ;

Li, Maozhen .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2020, 65 (12) :5480-5487

[5] Sampling-data-based distributed optimisation of second-order multi-agent systems with PI strategy [J].

Cui, Qiuyan ;

Liu, Kaien ;

Ji, Zhijian ;

Song, Wenjie .

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2023, 54 (06) :1299-1312

[6] A Physiological Control System for an Implantable Heart Pump That Accommodates for Interpatient and Intrapatient Variations [J].

Fetanat, Masoud ;

Stevens, Michael ;

Hayward, Christopher ;

Lovell, Nigel H. .

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 67 (04) :1167-1175

[7]

Ge XH, 2024, IEEE-CAA J AUTOMATIC, V11, P362, DOI [10.1109/JAS.2023.123507, 10.1109/JAS.2022.105845]

[8] Dynamic Event-Triggered Scheduling and Platooning Control Co-Design for Automated Vehicles Over Vehicular Ad-Hoc Networks [J].

Ge, Xiaohua ;

Xiao, Shunyuan ;

Han, Qing-Long ;

Zhang, Xian-Ming ;

Ding, Derui .

IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 9 (01) :31-46

[9]

Hardy G.H., 1934, INEQUALITIES

[10] On Model-Free Adaptive Control and Its Stability Analysis [J].

Hou, Zhongsheng ;

Xiong, Shuangshuang .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2019, 64 (11) :4555-4569

← 1 2 3 4 5 →