Article
Automation & Control Systems
Lihong Feng, Bonan Huang, Jiayue Sun, Xiangpeng Xie, Huaguang Zhang, Junchao Ren
Summary: This article focuses on the event-triggered containment control problem for a Lipschitz-like nonlinear multi-agent system with multiple active leaders. Two event-triggered mechanisms are designed to monitor data transmission and reduce communication burden. An observer is constructed to estimate the states that cannot be directly acquired, and a control protocol considering time-varying communication delays is proposed. The boundedness analysis of the containment error system is conducted using Lyapunov stability theory. The proposed controller is validated through simulations.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Wei Zhu, Shuang Zhou, Huannan Zheng, Junjie Yang
Summary: This study investigates the finite-time containment control problem of second-order nonlinear multi-agent systems with disturbances. Assuming a directed network topology among agents, a robust event-triggered terminal sliding mode controller is designed to handle the disturbances and achieve the accessibility of sliding manifold and consensus tracking. The Zeno-behavior of triggering time sequence is also excluded.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Multidisciplinary Sciences
Xin Cai, Xiaozhou Zhu, Wen Yao
Summary: This paper proposes a finite-time even-triggered control framework for multi-UAV systems to achieve formation-containment tracking control. By introducing a virtual leader with time-varying output, using finite-time control, and developing an event-triggering function to save communication resources, the effectiveness of the proposed controllers is verified through numerical simulations.
SCIENTIFIC REPORTS
(2022)
Article
Computer Science, Information Systems
Xiaoyu Xu, Hui Wang, Wuquan Li, Meiqiao Wang
Summary: This paper investigates the distributed output tracking problem for nonlinear multi-agent systems using event-triggered control. A control strategy based on backstepping and emulation method is proposed, which includes a series of event-triggered controllers and event-triggering mechanisms with absolute or relative threshold. The Zeno phenomenon is avoided by ensuring a positive minimum inter-execution interval. The event-triggered control strategy guarantees a unique solution for the closed-loop system and the tracking error can be adjusted to arbitrarily small while ensuring the boundedness of all states. A numerical example is provided to validate the conclusion.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Computer Science, Artificial Intelligence
Juan Zhang, Huaguang Zhang, Yuliang Cai, Weihua Li
Summary: This paper discusses the containment control problem of general linear multi-agent systems using two distributed event-triggered mechanisms. The theoretical results are verified through numerical simulations, showing convergence of follower trajectories to a convex hull formed by all leaders. The advantages of the results are verified through comparison with methods from other literature.
Article
Computer Science, Information Systems
Ya-ni Sun, Wen-cheng Zou, Jian Guo, Zheng-rong Xiang
Summary: The study focuses on the containment control problem for high-order heterogeneous nonlinear multi-agent systems under distributed event-triggered schemes. A distributed event-triggered control scheme is proposed to achieve the containment control objective and reduce communication consumption. Results are extended to self-triggered control case, ensuring follower outputs converge to the convex hull spanned by multi-leader signals. Numerical simulations are presented to verify the correctness of the obtained results.
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING
(2021)
Article
Automation & Control Systems
Zan Li, Hong Xue, Yingnan Pan, Hongjing Liang
Summary: This article investigates the adaptive event-triggered containment control problem for a class of uncertain nonlinear multi-agent systems with an adjustable funnel function. By introducing a predictor, a novel adaptive event-triggered condition, and a modified funnel control strategy, the stability of the closed-loop system and the convergence of the containment errors are guaranteed.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Automation & Control Systems
Shihao Wang, Shiqi Zheng, Choon Ki Ahn, Peng Shi, Xiaowei Jiang
Summary: This paper investigates the event-triggered cooperative output regulation problem for uncertain multi-agent systems and demonstrates the convergence of the output regulation error. The proposed method deals with unknown parameter systems and allows for heterogeneous follower systems. It is a fully distributed controller that only requires relative outputs and incorporates a reduced-order observer and adaptive event-triggered mechanisms. The approach is validated through simulations and experiments on a multi-joint robot manipulator.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Mohsen Parsa, Mohammad Danesh
Summary: This paper investigates the robust containment control problem of multiagent systems with heterogeneous uncertainty and nonlinearity, considering both input time-delay and data transmission time-delay. A smooth protocol and stability conditions are proposed to make followers' states converge to the convex hull shaped by leaders' states. Theoretical analysis is verified through numerical simulations.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Automation & Control Systems
Chen Yuan, Huaicheng Yan, Yuan Wang, Yufang Chang, Xisheng Zhan
Summary: This paper investigates the formation-containment control issue for heterogeneous linear multi-agent systems via distributed event-triggered control. Two distributed event-based protocols are proposed based on the output regulation framework, and the simulation results demonstrate the practicability of the theoretical results.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2022)
Article
Engineering, Mechanical
Jiahong Xu, Lijie Wang, Yang Liu, Hong Xue
Summary: This paper addresses an event-triggered H-infinity containment control problem for multi-agent systems (MASs) with state constraints. It formulates the problem as an equivalent unconstrained case and transforms the H-infinity optimal control problem into a two-player zero-sum game. A novel event-triggered condition and a simplified reinforcement learning algorithm are proposed. The effectiveness of the proposed scheme is verified through simulation examples.
NONLINEAR DYNAMICS
(2022)
Article
Automation & Control Systems
Hongbo Zhao, Xiangyu Meng, Sentang Wu
Summary: This paper presents a distributed event-triggered algorithm based on edge information for the average consensus problem in multi-agent systems. By utilizing only relative state differences and local neighborhood information, the communication frequency is reduced, leading to asymptotic convergence of all agents to the average of their initial states.
Article
Mathematics, Applied
Yang Yang, Xiaorui Xi, Songtao Miao, Jinran Wu
Summary: An output feedback-based containment control strategy is proposed with an event-triggered mechanism for a class of stochastic nonlinear multi-agent systems. A state observer is constructed to estimate the unavailable internal states of individual agents, and the dynamic surface control technology is employed to improve traditional backstepping. Furthermore, a fixed threshold-based triggered strategy is introduced to reduce communication resources.
APPLIED MATHEMATICS AND COMPUTATION
(2022)
Article
Automation & Control Systems
Xia Chen, Qianqian Sun, Hao Yu, Fei Hao
Summary: This paper addresses the predefined-time practical consensus problem for multiple single-integrator systems using event-triggered control. It proposes a new kind of time-varying functions and designs new event-triggered control inputs and triggering conditions based on these functions and local broadcasted states. The control scheme is fully-distributed, requiring no global system information or communication topology. The consensus analysis presents a sufficient condition for predefined-time practical stability, ensuring practical consensus within a completely pre-specified time and excluding Zeno behavior at all time instants. Numerical results confirm the effectiveness of the proposed control method.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Computer Science, Artificial Intelligence
Mingming Zhang, Ying Sun, Hongjian Liu, Xiaojian Yi, Derui Ding
Summary: In this article, event-triggered formation-containment control for discrete-time multi-agent systems is investigated using sliding mode control. By utilizing the event-triggered mechanism and sliding mode control, the communication burden is effectively relieved and control performance is enhanced.
