Article
Engineering, Multidisciplinary
Guanglei Zhao, Changchun Hua, Shuang Liu
Summary: This paper investigates the consensus problem in multi-agent systems using sampled-data dynamic output feedback control. A distributed control law is designed based on sampled relative output information between neighboring agents. A closed-loop system model with hybrid dynamics is constructed for consensus analysis and choice of sampling period. Lyapunov-based analysis is presented to develop stability conditions. Compared to existing works, observer design is not required, and only sampled relative output information is used, with the ability to explicitly compute the maximum allowable sampling period.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2022)
Article
Automation & Control Systems
Wei Liu, Jie Huang
Summary: This article studies the cooperative output regulation problem for heterogeneous linear multi-agent systems using the distributed sampled-data control approach. Two cases are considered: one with a constant state of the leader system, and the other with a time-varying state with bounded derivative. Solutions are provided for both cases, and two examples are used to illustrate the results.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Engineering, Multidisciplinary
Karlo Griparic, Marsela Polic, Marko Krizmancic, Stjepan Bogdan
Summary: This paper addresses a distributed connectivity control problem and proposes a method based on algebraic connectivity measure. The method estimates the algebraic connectivity locally and controls the network topology through a control strategy. Experimental results demonstrate the effectiveness of the proposed method.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2022)
Article
Automation & Control Systems
Hanfeng Li, Lihua Xie, Xianfu Zhang, Weihao Pan
Summary: This article focuses on the distributed consensus control problem for nonlinear multi-agent systems subject to sensor uncertainty. A new time-varying gain approach is proposed to achieve leader-follower consensus of nonlinear multi-agent systems and handle the unknown growth rate and uncertain sensor sensitivity.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Dong Liang, Yi Dong, Chaoli Wang
Summary: This paper proposes a prescribed-time distributed control method to solve the cooperative output regulation problem for linear multi-agent systems with external disturbances. A distributed observer is designed to estimate the state of the dynamic leader in fixed time, independent of initial conditions. Then, a time-varying distributed control law is designed based on the parametric Lyapunov function technique, improving the transient performance of the closed-loop system.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Computer Science, Information Systems
Guilu Li, Chang-E Ren, C. L. Philip Chen
Summary: This paper investigates the preview-based leader-following consensus control of distributed multi-agent systems with a directed acyclic graph. By utilizing state augmentation technique and preview control method, the consensus control problem is transformed into finite horizon and infinite horizon LQR problems to ensure asymptotic consensus of the system. The simulation results demonstrate the effectiveness of the distributed leader-following consensus controller designed in this paper.
INFORMATION SCIENCES
(2021)
Article
Engineering, Electrical & Electronic
Tao Han, Wei Xing Zheng
Summary: This paper addresses the bipartite output consensus problem for heterogeneous MASs under antagonistic interactions by designing two distributed controllers with state feedback control and output feedback control. It is proven that bipartite output consensus for heterogeneous MASs can be guaranteed under structurally balanced graph through Lyapunov theory and output regulation technique. Numerical examples are provided to demonstrate the validity of the derived results.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2021)
Article
Automation & Control Systems
Haozhe Li, Hongwei Wang, Yuze Xu, Jiapeng Chen
Summary: In this paper, a distributed event-triggered data-based control protocol is proposed for addressing the consistent reference signal tracking issue in unknown nonlinear heterogeneous multi-agent systems. By designing event-triggering conditions and using dynamic linearization technology, the protocol enables distributed communication and consistent desired trajectory tracking among heterogeneous agents.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Automation & Control Systems
Lei He, Wenhan Dong
Summary: The focus of this study is to address the consensus problem in heterogeneous nonlinear multi-agent systems. A distributed adaptive consensus controller is proposed, which utilizes only local information and employs the command filtered backstepping approach, as only some agents have direct access to reference information. Our proposed mechanism ensures the uniform and ultimate boundedness of all closed-loop signals, and it ensures the convergence of consensus tracking error to a small tunable compact set. Furthermore, the suggested control algorithm solves the formation-tracking problem of nonholonomic unmanned aerial vehicles.
Article
Engineering, Electrical & Electronic
Linxing Xu, Yang Li
Summary: This paper addresses the problem of distributed adaptive consensus tracking control for second-order nonlinear heterogeneous multi-agent systems (MASs) with input quantization. A distributed output feedback control scheme based on a K-filter is proposed to mitigate the influences of unknown disturbances and input quantization. Compared to existing approaches, an additional design parameter is introduced to ensure that the subsystem tracking error converges to an arbitrarily small residual set. Through Lyapunov stability analysis, it is proven that the proposed control scheme can achieve distributed consensus tracking control of second-order nonlinear heterogeneous MASs. Moreover, all signals in the closed-loop system are shown to be globally uniformly bounded. A practical example is provided to demonstrate the effectiveness of the proposed control method.
Article
Engineering, Electrical & Electronic
Huaqing Li, Lifeng Zheng, Zheng Wang, Yongfu Li, Lianghao Ji, Dawen Xia
Summary: This paper investigates the MPC problem in high-order multi-agent systems and proposes both synchronous distributed and asynchronous algorithms. The asynchronous algorithm allows agents to choose different step-sizes based on local information, improving system flexibility and ensuring convergence under certain conditions.
IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS
(2021)
Review
Computer Science, Artificial Intelligence
Abdollah Amirkhani, Amir Hossein Barshooi
Summary: This paper provides a review of the consensus problem in the distributed control of multi-agent systems (MASs), covering various consensus algorithms, consensus-related problems, common control techniques, and prevalent consensus applications in MASs.
ARTIFICIAL INTELLIGENCE REVIEW
(2022)
Article
Automation & Control Systems
Zhengyan Yu, Chun Liu, Xiaofan Wang, Xiaoqiang Ren
Summary: The purpose of this study is to discuss the fully distributed design of output estimation error observer and fault-tolerant consensus tracking control for multi-agent systems. The study proposes a distributed output estimation error observer based on relative output measurements of neighboring agents to estimate the state and fault information of each agent. It also develops a distributed fault-tolerant consensus tracking control scheme to achieve state consensus tracking goal and compensate for actuator faults.
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
(2023)
Article
Automation & Control Systems
Yuhang Zhang, Yulian Jiang, Shenquan Wang, Xiaolin Ai
Summary: This article addresses the output consensus tracking problem for a class of heterogeneous multiagent systems (HMASs) with intermittent communications. It introduces local observers and adaptive distributed estimators, establishes switched and distributed tracking controllers, and derives sufficient conditions for achieving output consensus tracking using switching system theory and LMI technology. A simulation example is provided to demonstrate the correctness and effectiveness of the proposed method.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Mathematics, Applied
Juan Zhang, Huaguang Zhang, Yuliang Cai, Wei Wang
Summary: This paper investigates consensus problems for nonlinear multi-agent systems using distributed event-based control protocols. Both static and dynamic distributed control schemes are designed to achieve leader-follower and leaderless consensus problems, excluding Zeno behavior in MASs.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
