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
Xiang Huo, Mingxi Liu
Summary: This study proposes a novel distributed optimization framework with two scalability aspects, addressing the scalability challenges of optimizing a large number of agents over a large-scale network. By distributing the computing load among agents and reducing the network-induced constraint dimension, the framework achieves significant improvements in scalability.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2022)
Article
Automation & Control Systems
Huiliao Yang, Bin Jiang, Hao Yang, Hugh H. T. Liu
Summary: This article investigates the fault-tolerant synchronization and time-varying tracking control problem for nonlinear multivehicle systems in the presence of partial loss-of-control-effectiveness faults. A two-level fault-tolerant cooperative control framework is proposed, based on graph theory. The low-level distributed nominal control scheme guarantees system performances in the fault-free scenario, while the high-level topology reconfiguration protocols mitigate the fault impact by adjusting the underlying topology. The proposed framework ensures asymptotic convergence to zero of synchronization and tracking errors for the multivehicle systems in both fault-free and fault scenarios without modifying the structure or design parameter of the low-level control scheme.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Engineering, Electrical & Electronic
Xiaoran Dai, Guo-Ping Liu, Qijun Deng, Wenbin Zeng
Summary: This article proposes a global optimal cooperative control strategy to improve the poor dynamic consensus in multiple dc-dc converter systems caused by parameter differences. The proposed control strategy achieves dynamic consensus of output currents by minimizing a global performance index, and introduces integral action and nonlinear coordinate transformation techniques to improve coordinated performance. Proof of stability and consensus is provided using Lyapunov approach, and design guidelines for tuning dynamic response are given through simulations.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Automation & Control Systems
Xiaoran Dai, Guo-Ping Liu, Qijun Deng, Wenshan Hu, Pan Sun
Summary: A distributed cooperative control scheme is proposed for modular converters in ultra-large ship degaussing systems to improve magnetic stealth capability. Consensus and stability of the system are analyzed, and tailored controller design guidelines are presented. Simulation and experimentation confirm the efficacy of the control method.
ASIAN JOURNAL OF CONTROL
(2023)
Article
Computer Science, Artificial Intelligence
Jinsong Li, Tao Feng, Jilie Zhang, Fei Yan
Summary: This paper focuses on distributed optimal cooperative control for multi-agent systems over fixed communication graphs. The study includes solutions for globally optimal problem, design of suboptimal fully distributed protocols, as well as addressing practical problems with specified convergence speed and control input constraints. Simulation examples are provided to verify the effectiveness of the proposed results.
Article
Engineering, Aerospace
Chuang Xu, Baolin Wu, Yingchun Zhang
Summary: This paper addresses the problem of distributed prescribed-time attitude cooperative control for a group of spacecraft subject to bounded external disturbances. A distributed prescribed-time observer and controller are designed to achieve attitude tracking of spacecraft. Numerical simulation results validate the effectiveness and reliability of the proposed control scheme.
AEROSPACE SCIENCE AND TECHNOLOGY
(2021)
Article
Automation & Control Systems
Gabriele Oliva, Apostolos Rikos, Andrea Gasparri, Christoforos N. Hadjicostis
Summary: In this article, a distributed negotiation framework is proposed to enable cooperative agents to find common ground with their neighbors while minimizing the changes to their initial opinions. Based on this framework, a distributed agreement approach is developed to reflect the relevance of agents in a weighted consensus process through local agreements. The proposed methodology is applied in the context of distributed data aggregation scenarios to mitigate the impact of outliers.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
Article
Automation & Control Systems
Yujie Tang, Zhaolin Ren, Na Li
Summary: We study a class of cooperative multi-agent optimization problems, where the goal is to cooperatively find the joint action profile that minimizes the average of the local costs. We propose a zeroth-order feedback optimization scheme and provide explicit complexity bounds for different scenarios. The algorithm's performance is justified by a numerical example.
Article
Automation & Control Systems
Juan Deng
Summary: This paper investigates the pose control problem of multi-rigid-body systems using distance-dependent graphs to describe interaction relations. Distributed control laws are designed for torque and force, with theoretical results on attitude synchronization, collision avoidance, and connectivity maintenance established without relying on prior connectivity assumptions. Initial or minimum spanning tree neighborhoods are introduced into the controller to reduce communication pressure and motion constraints, with a leader guiding all rigid bodies to a desired attitude. Simulation examples validate the theoretical results.
IET CONTROL THEORY AND APPLICATIONS
(2021)
Article
Automation & Control Systems
Domenico Cappello, Thulasi Mylvaganam
Summary: Motivated by challenges in multi-agent system control, this study investigates the design of distributed controllers for linear heterogeneous systems subject to local communication. A game theoretic framework is proposed, taking into account individual agent objectives and incomplete knowledge. Linear state-feedback control laws are obtained through a distributed differential game, solved in a decentralized manner. Stability conditions are provided for specific communication graph topologies and then applied to general graph topologies.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Mehmet H. Cintuglu, Dmitry Ishchenko
Summary: This paper proposes two methods to achieve real-time performance in distributed power system algorithms and discusses their necessity based on specific requirements. A case study is conducted to validate these methods in the context of networked microgrids.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Engineering, Multidisciplinary
Zhenhua Deng
Summary: This paper studies the formation control of high-order multi-agent systems using aggregative games. The Nash equilibrium of a quadratic aggregative game is found to constitute the desired formation. A distributed algorithm is designed to achieve the desired formation by seeking the Nash equilibrium, with each agent estimating the game aggregate. The convergence of the algorithm is analyzed using Lyapunov stability theory.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Automation & Control Systems
Yuxin Wu, Deyuan Meng, Zheng-Guang Wu
Summary: This article introduces a distributed learning control protocol that enables multiagent systems to achieve transient bipartite synchronization within a finite time, overcoming the influences caused by antagonisms and topology nonrepetitiveness. Simulation examples demonstrate the effectiveness of the distributed learning results developed among multiple agents.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Multidisciplinary Sciences
Weiwei Kong, Tianmao Cai, Yugong Luo, Xuetong Wang, Fachao Jiang
Summary: This paper investigates the multi-objective optimization problem in vehicle platooning control and proposes a control method based on symmetry and asymmetry design. By using distributed nonlinear model predictive control strategy, the stability, safety, energy saving, and passenger comfort of the platoon are effectively optimized.
Article
Automation & Control Systems
Fei Chen, Xiaozheng Chen, Linying Xiang, Wei Ren
Summary: This paper studies distributed economic dispatch problems for smart grids with a focus on addressing heterogeneous time-delays and protecting agents' privacy. By designing state predictors for each agent and proposing a distributed gradient-descent algorithm, the optimal solution is guaranteed to be attained in an asymptotic manner. Additionally, a privacy preservation scheme is incorporated to delicately characterize convergence, differential privacy properties, and accuracy of the algorithm.
Article
Automation & Control Systems
Jian-Ning Li, Wei Ren
Summary: This article focuses on the fault-tolerant constrained consensus problem for multiagent systems with communication delays. A novel delay-dependent fault-tolerant controller is designed to attenuate the influence of communication delays and actuator failures, ensuring that the specified performance index is achieved for fault-tolerant constrained consensus.
IEEE TRANSACTIONS ON CYBERNETICS
(2021)
Article
Automation & Control Systems
Yong Ding, Wei Ren, Yu Zhao
Summary: This article introduces an event-triggered mechanism to solve the distributed average tracking problem for double-integrator agents without velocity measurements. By removing the continuous communication requirement and Zeno behavior, the algorithm is suitable for practical implementation.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2021)
Article
Automation & Control Systems
Yanan Zhu, Wenwu Yu, Wei Ren, Guanghui Wen, Juping Gu
Summary: This article studies a generalized Nash equilibrium problem with coupling equality constraints and local action sets. It proposes continuous-time coordination dynamics for different communication topologies, and theoretically shows the effectiveness of the dynamics in solving the Nash equilibrium problem under certain conditions. The theoretical results are illustrated through numerical simulations.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2021)
Article
Automation & Control Systems
He Wang, Wei Ren, Wenwu Yu, Dong Zhang
Summary: This paper considers the distributed consensus control problem for disturbed second order multi-agent systems with directed networks, investigating leaderless and tracking cases. Different methods are proposed to solve the leaderless and tracking problems, with simulation examples provided to verify the theoretical results.
Article
Automation & Control Systems
Chengzhi Yuan, Paolo Stegagno, Haibo He, Wei Ren
Summary: This article addresses the problem of cooperative adaptive containment control for multiagent systems through a novel control architecture that achieves both containment control and parameter adaptive learning simultaneously. The proposed method achieves exponential convergence of containment tracking errors to zero and adaptation parameters to their true values under a mild cooperative finite-time excitation condition.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Automation & Control Systems
Jie Mei, Wei Ren, Yongduan Song
Summary: This article addresses the challenging leaderless consensus problem of uncertain multiagent systems under general directed graphs by proposing the model reference adaptive consensus scheme. By designing linear reference models, dynamic or position consensus is achieved without the need for communication of virtual signals, only through interaction of relative states among the agents.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Automation & Control Systems
Peng Lin, Jiahao Xu, Wei Ren, Chunhua Yang, Weihua Gui
Summary: This article investigates a distributed constrained optimization problem in single-integrator multiagent systems with nonconvex input constraints, nonuniform convex state constraints, and nonuniform step sizes, presenting a new analysis approach that proves all agents can converge to a common point and solve the given optimization problem.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Automation & Control Systems
Shan Sun, Yifan Zhang, Peng Lin, Wei Ren, Jay A. Farrell
Summary: This brief addresses distributed continuous-time optimization problems with time-varying objective functions and proposes a distributed nonsmooth algorithm. The algorithm is extended to handle cases with common time-varying linear equality constraints using local Lagrangian functions, and the asymptotic convergence to the optimal solution is proven. Numerical simulations and experimental validation on a multi-Crazyflie platform are presented to illustrate the theoretical results.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2022)
Article
Mathematics, Interdisciplinary Applications
Chen Fei, Ren Wei
Summary: The paper reviews progress in the development of multi-agent control, discussing different approaches with an emphasis on the graph-theoretic perspective. Topics include the design of multi-agent systems via Laplacian dynamics, the role of the graph Laplacian spectrum, challenges of unbalanced digraphs, and consensus-based estimation of graph statistics. It also reports on emergent issues such as distributed optimization, distributed average tracking, and distributed network games, which have seen extensive recent development.
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY
(2021)
Article
Automation & Control Systems
Peng Wang, Yuanqi Gao, Nanpeng Yu, Wei Ren, Jianming Lian, Di Wu
Summary: Two distributed and communication-efficient algorithms based on the multi-agent system are proposed in this paper to solve a system of linear equations with the Laplacian sparse system matrix. One algorithm is based on the gradient descent method in optimization, while the other algorithm approximates Newton's method for a faster convergence rate. Both algorithms demonstrate linear convergence rates, with considerations given to communication burden and computation costs.
SYSTEMS & CONTROL LETTERS
(2022)
Article
Automation & Control Systems
Bo Wang, Shan Sun, Wei Ren
Summary: This article discusses the distributed time-varying optimal resource allocation problem for multiagent systems with time-varying quadratic cost functions and a time-varying coupled equality constraint. A distributed algorithm is designed to satisfy the constraint and minimize the sum of cost functions, ensuring the agents to find and track the optimal trajectories.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Automation & Control Systems
Changkun Du, Yougang Bian, Haikuo Liu, Wei Ren, Pingli Lu, Xiangdong Liu
Summary: This article investigates cooperative startup control of heterogeneous connected vehicles in a platoon. A hierarchical finite-time control framework is established, utilizing distributed observers and controllers to track startup reference trajectories, ensuring effective cooperative startup control. Numerical simulations validate the proposed methods' effectiveness.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2021)
Article
Automation & Control Systems
Yu Zhao, Chengxin Xian, Guanghui Wen, Panfeng Huang, Wei Ren
Summary: This article addresses the design problem of distributed event-triggered average tracking (DETAT) algorithms for homogeneous and heterogeneous multiagent systems. The DETAT problem is solved by proposing static-gain DETAT algorithms for homogeneous systems and smooth dynamic-gain DETAT algorithms for heterogeneous systems. The validity of the theoretical results is demonstrated through examples.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
Article
Automation & Control Systems
Bomin Huang, Chengwang Yang, Ziyang Meng, Fei Chen, Wei Ren
Summary: This article examines a class of distributed nonlinear placement problems for a multicluster system, formulating the task as a time-varying noncooperative game and designing a distributed Nash equilibrium-seeking algorithm based on a distributed observer method. The effectiveness of the algorithm is validated through numerical examples, proving convergence using the Lyapunov stability theorem.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
