Article
Automation & Control Systems
Malika Sader, Zhongxin Liu, Fuyong Wang, Zengqiang Chen
Summary: This article studies the H-infinity consensus tracking problem for multi-agent systems under switching communication topologies and proposes a new fully distributed fault-tolerant control method utilizing adaptive mechanisms, using neural networks to estimate the norm of weight vectors and solving the difficulty of compensating for unknown nonlinear functions during actuator faults.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Automation & Control Systems
Linna Wei, Wu-Hua Chen, Shixian Luo, Ganji Huang
Summary: This paper investigates the impulsive average-consensus problem of first-order multi-agent systems with dynamically changing topologies. The continuous-time dynamics and impulsive protocols are both affected by nonuniform time-varying communication delays. By utilizing Razumikhin techniques and time-varying Lyapunov function method, some impulse-delay-dependent sufficient criteria for the average-consensus of multi-agent systems are derived. Numerical simulations are conducted to demonstrate the effectiveness and validity of the theoretical results.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Automation & Control Systems
Yi Niu, Yulong Yang, Ben Niu, Xudong Zhao, Lun Zhai, Boyi Zhang
Summary: This paper investigates the robust consensus tracking problem for heterogeneous nonlinear multi-agent systems with weighted communication graph and time-varying input delays. Intelligent technologies are used to approximate unknown quantities from neighbor systems and leader system, and adaptive controllers are designed using compensation system, double integral type and novel constructed exponential type Lyapunov-Krasovskii (L-K) functionals. The proposed control protocol achieves satisfactory control accuracy, and the computation and communication costs are efficiently reduced by using uniform hysteretic quantizer and dynamic surface filter.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Mechanical
Lianghao Ji, Donglin Lv, Shasha Yang, Xing Guo, Huaqing Li
Summary: This paper discusses the finite time consensus issue of nonlinear heterogeneous multi-agent systems by combining integral sliding-mode control, event-triggered control, and pinning control methods. The novel control protocols and distributed event-triggered controls are designed to stimulate system consensus, ensuring stability and eliminating Zeno behavior. The obtained conclusions are validated through simulation examples.
NONLINEAR DYNAMICS
(2022)
Article
Chemistry, Multidisciplinary
Siheng Zong, Yu-Ping Tian
Summary: This paper investigates the consensus problem of multi-agent systems with increasing communication distances, modeling the system using a time-delay system. It is proven that under certain topological conditions, the system can achieve consensus, and the growth rate of the maximum delay is negatively correlated with the rate of achieving consensus.
APPLIED SCIENCES-BASEL
(2021)
Article
Automation & Control Systems
Bo Wang, Yu-Ping Tian
Summary: This paper investigates the consensus problem of multi-agent systems with uncertainties and communication delays, presenting conditions for achieving non-stochastic consensus and quantifying the convergence rate of the consensus protocol in terms of the decay rate of uncertainties. Simulation results are provided to validate the conclusions reached.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Computer Science, Information Systems
Kewei Zhang, Yuanyuan Zhang, Renfu Li, Guanrong Chen
Summary: This paper studies the sampled-data-based consensus control problem of multi-agent systems (MASs) with multiplicative noise and time-delays, developing a discretization-reconnection method and establishing sufficient conditions for mean-square and almost sure consensus, and verifying the theoretical results through numerical simulations.
INFORMATION SCIENCES
(2022)
Article
Automation & Control Systems
Thales C. Silva, Fernando O. Souza, Luciano C. A. Pimenta
Summary: This paper explores the consensus problem in multi-agent systems, providing sufficient conditions for consensus analysis and design of distributed consensus protocols. It also proposes a strategy to calculate a region where consensus is guaranteed in the presence of input saturation, based on Lyapunov-Krasovskii theory and linear matrix inequalities framework. Illustrative examples are presented to demonstrate the effectiveness of the proposed method compared to existing approaches in the literature.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Mathematics
Xuening Xu, Zhiyong Yu, Haijun Jiang
Summary: This study focuses on a fixed-time distributed optimization problem for multi-agent systems with input delay and external disturbances. By using the Artstein model reduction technique and integral sliding mode control strategy, the time-delay system and external disturbances are effectively addressed. A new centralized optimization mechanism is developed, and a decentralized optimization protocol is constructed to tackle the difficulty of obtaining gradient information in advance. Numerical simulations demonstrate the effectiveness and reliability of the proposed control strategy.
Article
Automation & Control Systems
Wenji Cao, Gang Feng
Summary: This paper addresses the robust leader-following output consensus problem for unknown heterogeneous non-minimum phase linear multi-agent systems. A novel distributed robust adaptive pole placement control scheme is proposed. It is shown that the proposed control scheme can solve the consensus problem under certain conditions. The exact output consensus can be achieved if the unmodeled dynamics and external disturbances vanish as time goes to infinity.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Fenglan Sun, Feng Wang, Peiyong Liu, Jurgen Kurths
Summary: This article proposes a consensus protocol based on integral sliding mode surface to achieve fixed-time tracking consensus for second-order nonlinear multi-agent systems with disturbance. By utilizing Lyapunov stability theory and matrix theory, sufficient conditions for fixed-time tracking consensus are provided, along with an upper bound for the settling time. A simulation example is presented to demonstrate the potential correctness of the obtained results.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Automation & Control Systems
Yingwen Zhang, Jinhuan Wang, Guanrong Chen
Summary: This article proposes an event-based control strategy for finite-time consensus of a chain of nonholonomic multi-agent systems. It introduces adaptive event-based integral sliding-mode control protocols and adaptive laws to handle unknown disturbances. A numerical example demonstrates the effectiveness of the proposed methodology.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Automation & Control Systems
Zhou Xu, Xiaoyang Liu, Jinde Cao, Mei Song
Summary: This paper investigates the fixed-time bipartite consensus of nonlinear multi-agent systems subjected to external disturbances. Under the directed signed networks, several sufficient conditions are proposed to ensure the fixed-time bipartite consensus of MASs with or without leaders. Discontinuous control protocols are developed to achieve fixed-time tracking bipartite consensus of MASs with a leader. Furthermore, the fixed-time leaderless bipartite consensus under directed signed graph is discussed. Two numerical examples are provided to verify the effectiveness of the theoretical results.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Computer Science, Artificial Intelligence
Wenfeng Hu, Yanhua Yang, Guo Chen, Min Meng
Summary: This paper addresses the bipartite consensus problem for double-integrator multi-agent systems with antagonistic interactions, considering cases with and without communication time delays. It is shown that bipartite consensus can be achieved with a distributed controller if communication time delays are not considered, and if nonuniform delays are less than a certain upper bound for systems with undirected signed graphs. Additionally, an algorithm for solving the grouping problem is proposed.
NEURAL COMPUTING & APPLICATIONS
(2021)
Article
Computer Science, Information Systems
Jiashu Dai, Chuanhai Yang, Xu Yan, Jiuru Wang, Kongwei Zhu, Chengdong Yang
Summary: This paper studies the application of semi-linear parabolic partial integro-differential equations with time delays in leaderless consensus of multi-agent systems (PIDEMASs). Consensus control of the leaderless PIDEMAS is achieved by utilizing information interaction and coordination among neighboring agents, and the consensus of the leaderless PIDEMAS is analyzed using the Lyapunov approach. Two sufficient conditions for consensus of the leaderless PIDEMAS are obtained by dealing with time-invariant delays and time-varying delays, respectively. Two examples are provided to illustrate the effectiveness of the developed theoretical results.
