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Review
Computer Science, Artificial Intelligence
Abdollah Amirkhani et al.
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
Engineering, Electrical & Electronic
Haihua Guo et al.
Summary: This study proposes a novel dynamic event-triggered impulsive control scheme for the exponential stabilization of general stochastic nonlinear systems. The proposed scheme reduces controller updates and saves energy compared to traditional static event-triggered impulsive generators. Furthermore, there is a guaranteed positive minimum inter-event time for each sample path solution. The scheme is also applied to stabilize stochastic complex networks.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2022)
Article
Automation & Control Systems
Xiufeng Mu et al.
Summary: This paper investigates the problem of fuzzy model-based leader-following consensus control for multi-agent systems under deception attacks. A novel memory-based event-triggered scheme is proposed to reduce redundant data transmission and achieve faster leader-following consensus. Sufficient conditions for achieving consensus in the presence of deception attacks are derived using Lyapunov-Krasovskii technique.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Automation & Control Systems
Lijing Dong et al.
Summary: This paper proposes an adaptive sliding mode control method to solve the tracking problem of high-order nonlinear multi-agent systems with uncertainty, considering node failures and agent replacements during the tracking process.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Engineering, Electrical & Electronic
Guilherme B. Costa et al.
Summary: This paper demonstrates how to use Multi-Agent Systems (MAS) to solve the fault section estimation problem in power systems, improving the reliability metrics of utilities and consumer satisfaction.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
Article
Automation & Control Systems
Huifang Sun et al.
Summary: This paper investigates the constrained consensus problem for discrete multi-agent systems subject to additive noises, proposing two control protocols and demonstrating their effectiveness through numerical examples.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2022)
Article
Computer Science, Artificial Intelligence
Ying Wu et al.
Summary: This article focuses on the fixed-time fuzzy adaptive bipartite containment quantized control problem for nonlinear multiagent systems by proposing a distributed control strategy. The stability of the closed-loop system is proven by Lyapunov theory and fixed-time theory.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Automation & Control Systems
Ge Guo et al.
Summary: This article investigates a distributed optimization problem of double-integrator multiagent systems with unmatched constant disturbances, proposing a two-layer control framework based on SIFC and adaptive control techniques. The framework enables distributed optimization with time-triggered communication and mild requirements on the team objective, and the co-design algorithm of control parameters and communication intervals is proven to be convergent using Lyapunov stability theory. The method's effectiveness and advantages are illustrated through numerical simulations.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Automation & Control Systems
Jun Cheng et al.
Summary: This paper investigates the reduced-order filter design method for fuzzy Markov jump affine systems with dynamic event-triggered protocol and uncertain packet dropouts. The novel nonhomogeneous Markov process is proposed to describe the generalized stochastic jumping among subsystems. A dynamic event-triggered protocol is provided to alleviate the network transmission burden. Sufficient criteria are attained to ensure stochastic stability and prescribed l(2) - l(infinity) performance for the filtering error systems.
Article
Automation & Control Systems
Jun Cheng et al.
Summary: This study addresses the output-feedback control problem for general semi-Markov jump systems with a memory-dynamic event-triggered protocol. A novel framework of semi-Markov process subject to a higher level deterministic switching signal is constructed based on the average dwell-time strategy. By proposing a dynamic-memory event-triggered protocol and considering an asynchronous memory-based output-feedback control law, the mean-square exponential stability of the closed-loop system is ensured.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
Article
Automation & Control Systems
Ge Guo et al.
Summary: This article introduces a novel distributed model reference adaptive control scheme for solving the distributed optimization problem in multiagent systems. Numerical simulations have demonstrated the effectiveness of the proposed method.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Engineering, Chemical
Kaiyue Liu et al.
Summary: This paper proposes a novel adaptive neural network event-triggered controller design scheme to address actuator failures in Continuous Stirred Tank Reactors. By using a prescribed performance function error transformation, the tracking error exponentially converges to zero within an adjustable neighborhood while constraining maximum overshoot and convergence rate. The burden on the system is significantly reduced, leading to less system resource requirements and decreased actuator failure occurrence rate.
CHEMICAL ENGINEERING SCIENCE
(2021)
Article
Computer Science, Artificial Intelligence
Xinfeng Shao et al.
Summary: This article investigates the adaptive event-triggered secure control design problem for a class of stochastic nonlinear high-order multiagent systems subject to denial-of-service attacks and actuator faults. The proposed method effectively solves the problem of wasted communication resources by designing control signals with a relative threshold strategy, and can also address actuator faults and DoS attacks to achieve security control objectives in an insecure network and physical environment.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Yan Shao et al.
Summary: This paper proposes a multi-agent reinforcement learning (MARL) algorithm for designing real-time slice resource management strategies in multi-base station networks. By applying graph attention network (GAT) to enhance the cooperation between base stations and integrating GAT into deep reinforcement learning, an intelligent real-time resource management strategy is designed.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Automation & Control Systems
Jinnan Zhang et al.
Summary: This paper addresses the non-fragile H-infinity-consensus control problem for multi-agent systems subject to deception attacks and missing measurements based on the designed observers. A sequence of Bernoulli distributed stochastic variables is used to characterize the random nature of missing measurements, and constraint conditions are given for malicious signals in deception attacks. Based on Lyapunov stability theory, sufficient conditions are established to ensure the existence of the desired observer and controller, and gain parameters are calculated by solving linear matrix inequalities. An explanative example is employed to demonstrate the effectiveness of the proposed distributed control algorithm.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Automation & Control Systems
Hao Liu et al.
Summary: This paper investigates the sampled-data-based consensus problem of multi-agent systems (MASs) under asynchronous denial-of-service (DoS) attacks, proposing a new definition of complete DoS attack and novel double layer switched systems. By utilizing a double mode-dependent Lyapunov function method and feedback consensus controllers, it is proved that MASs can achieve consensus under asynchronous DoS attacks. An illustrative example is provided to demonstrate the effectiveness of the proposed results.
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2021)
Article
Automation & Control Systems
Giuseppe Franze et al.
Summary: This paper proposes a resilient distributed control scheme against replay attacks for multi-agent networked systems, aiming to promptly detect and mitigate malicious agent behaviors using predictive arguments and set-theoretic receding horizon control ideas. The topological description of the multi-agent system by a leader-follower digraph and the development of a distributed algorithm capable of instantaneously recognizing attacked agents are key components of the proposed approach.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2021)
Article
Automation & Control Systems
Lang Ma et al.
Summary: This article focuses on the H-infinity cluster formation control of a multiagent system with stochastic sampling in network environments. It proposes effective design methods by separating agents into clusters and considering external disturbances, with cluster formation performance analysis proving their effectiveness.
IEEE TRANSACTIONS ON CYBERNETICS
(2021)
Article
Transportation Science & Technology
Tong Wang et al.
Summary: The research introduces a Cooperative Group-Based Multi-Agent reinforcement learning-ATSC framework that effectively controls large-scale road networks. The algorithm incorporates advanced techniques and achieves remarkable results in congestion alleviation and environmental protection.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Computer Science, Theory & Methods
Pu Zhang et al.
Summary: The distributed adaptive back-stepping control method is proposed for high-order strict feedback nonlinear multi-agent systems with communication constraints to cooperatively track moving targets. The leader-follower mode and time-varying reference trajectory are used to achieve consensus tracking purpose, avoiding obstacles with optimal trajectory and maintaining desired formation movement. The designed controller quickly converges lateral and horizontal tracking errors of the multi-agent system and keeps the system asymptotically stable during the tracking process.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
(2021)
Article
Computer Science, Information Systems
Yang Yang et al.
Summary: This paper presents a distributed containment output feedback control strategy for networked nonlinear multi-agent systems, utilizing an event-triggered communication mechanism. The strategy ensures the containment of all followers by the leaders while introducing a nonlinear gain function and a recursive sliding-mode surface to overcome drawbacks, ultimately achieving bounded containment errors.
INFORMATION SCIENCES
(2021)
Article
Automation & Control Systems
Bo-Chao Zheng et al.
Summary: This paper proposes a robust sliding mode fault-tolerant controller for uncertain second-order leader-follower multi-agent systems, and calculates the minimum event-triggered execution time. The effectiveness of the algorithm is verified through simulation results.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2021)
Article
Automation & Control Systems
Tao Dong et al.
Summary: This research proposes an event-triggered differentially privacy optimal consensus algorithm to address the privacy leakage issue by protecting the privacy of cost function of agents during the process of consensus computation. The study analyzes the accuracy and consensus of the algorithm, as well as the privacy preservation effects, demonstrating that the privacy of all agents' states can be preserved.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2021)
Article
Automation & Control Systems
Meiyan Cong et al.
Summary: This paper investigates the secure bipartite consensus tracking of linear multi-agent systems under denial-of-service (DoS) attacks using event-triggered control mechanism with data sampling. The conditions on sampling periods, attack frequency, and attack duration are obtained to ensure secure bipartite tracking consensus. Overall, the effectiveness of the theoretical results is illustrated through simulation examples.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2021)
Article
Computer Science, Artificial Intelligence
Kailu Sun et al.
Summary: This paper discusses the distributed event-triggered control problems for nonlinear stochastic multi-agent systems with external disturbance and time-delay, establishing criteria for leader-following consensus in networks containing a directed spanning tree. By designing appropriate Lyapunov-Krasovskii function, sufficient conditions for achieving consensus are obtained, and the control gain matrix is designed accordingly to realize the controller. Lower bounds of interexecution times are provided to prevent Zeno-behavior, and the theoretical analyses are verified through simulation.
Article
Engineering, Electrical & Electronic
Badr Al Faiya et al.
Summary: This paper introduces a distributed voltage regulation method for large distribution networks based on multi-agent system control and network self-organization. The approach simplifies optimization problems and enhances adaptability through subnetwork autonomous regulation, and its effectiveness is confirmed through simulations on a real model.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Engineering, Electrical & Electronic
Dan Zhang et al.
Summary: This article focuses on the co-design of fault detection and consensus control protocol for a specific class of multi-agent systems. It introduces a hidden semi-Markov process and probability density functions to establish sufficient conditions for the stability of MASs. The gain matrices of controller and detector are obtained by solving an optimization problem with matrix inequality constraints.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2021)
Article
Mathematics, Applied
Guoguang Wen et al.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2020)
Article
Automation & Control Systems
Liang Zhao et al.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2020)
Article
Computer Science, Artificial Intelligence
Ziqiang Xu et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2020)
Article
Automation & Control Systems
Yonghong Wu et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2019)
Article
Automation & Control Systems
Xuegang Tan et al.
IEEE TRANSACTIONS ON CYBERNETICS
(2019)
Article
Automation & Control Systems
Xiwang Dong et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2017)
Article
Engineering, Multidisciplinary
Wei Zhang et al.
APPLIED MATHEMATICAL MODELLING
(2011)
