Article
Computer Science, Artificial Intelligence
Jinxin Zhang, Housheng Su
Summary: This paper proposes a novel sampling control protocol to achieve formation containment for MASs, which significantly reduces communication load and energy waste. By establishing an appropriate Lyapunov function, sufficient conditions for MASs with sampled data and time delays reaching formation containment are obtained.
Article
Automation & Control Systems
Liangming Chen, Chuanjiang Li, Yanning Guo, Guangfu Ma, Yanan Li, Bing Xiao
Summary: This paper presents formation-containment control algorithms for a class of second-order nonlinear multi-agent systems with communication delays. The algorithms aim to achieve desired formation for leader agents and containment control for follower agents. Variable-gain technique is used to eliminate the effect of communication delays on the leaders' formation control. Distributed velocity estimators are proposed for the followers, taking into account the existence of communication delays. Coordinated containment control laws are then designed using the estimated velocity information for the followers to converge to the convex hull spanned by all leaders. Adaptive updating laws are designed for all agents to enhance system robustness. Simulation results are provided to demonstrate the effectiveness of the proposed algorithms.
Article
Computer Science, Information Systems
Hua Huang, Xinxin Liu, Rong Yang
Summary: In this study, intelligent cooperation of multi-robot systems based on deep learning and a ceramic decoration pattern style migration algorithm based on the ESPCN model are proposed. The algorithm optimizes image processing using Laplace operator and downsampling to improve image quality and definition.
INFORMATION SCIENCES
(2021)
Article
Engineering, Electrical & Electronic
Bo Zhang, Liangyi Cai, Feiqi Deng, Shengli Xie
Summary: This paper introduces the stabilization by aperiodically intermittent sampling stochastic noise as a new method for solving the consensus problem of a class of homogeneous multi-agent systems. It designs a multiplicative noise as a control input to stabilize the error system of the multi-agents. The average noise control rate is used to estimate the working time of the intermittent noise, while a novel piecewise analysis technique is adopted to estimate the mean square of the error state. The sufficient criteria for the stability of the error system are obtained.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2023)
Article
Computer Science, Information Systems
Zhiyun Gao, Huaguang Zhang, Yingchun Wang, Yunfei Mu
Summary: This paper investigates the time-varying output formation-containment problem of homogeneous and heterogeneous descriptor fractional-order multi-agent systems. It proposes control strategies and algorithms to address the TV-OFC problem, presenting sufficient conditions and methods to determine gain matrices for achieving TV-OFC. Numerical examples are provided to demonstrate the effectiveness of the theoretical conclusions.
INFORMATION SCIENCES
(2021)
Article
Automation & Control Systems
Jie Duan, Guichao Duan, Shuang Cheng, Shengxian Cao, Gong Wang
Summary: This work investigates fixed-time time-varying output formation-containment control of heterogeneous general multi-agent systems, which comprises one virtual leader, multiple leaders, and followers. First, a fixed-time nonlinear control law is constructed to achieve time-varying output formation and trajectory tracking for the leaders. Next, two complete distributed adaptive fixed-time observers are designed to recover a convex hull, which is crucial for the control issue in this paper. Furthermore, a nonlinear control law is constructed for the followers to move into the convex hull formed by multiple leaders. Finally, two examples are provided to verify the feasibility of the theoretical results.
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
Yarui Chen, Qi Zhao, Yuanshi Zheng, Yunru Zhu
Summary: This article explores the containment control problem for hybrid multi-agent systems, proposing distributed protocols for agents with different dynamic characteristics and deriving criteria through stability theory and system transformation method. Simulation examples are provided to demonstrate the effectiveness of the theoretical results.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Computer Science, Information Systems
Shaoping Chang, Yijing Wang, Zhiqiang Zuo
Summary: This article investigates fixed-time formation-containment control for multi-agent systems with model uncertainties and external disturbances. It develops a novel fixed-time varying gain extended state observer to observe the states and disturbances of each formation leader and follower. It also proposes a fixed-time formation control protocol to achieve formation tracking and a fixed-time containment control protocol to generate reference signals for each follower. Experimental results on wheeled mobile robots validate the effectiveness of the proposed approach.
INFORMATION SCIENCES
(2022)
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
Automation & Control Systems
Mengmeng Duan, Ziwen Yang, Shanying Zhu, Cailian Chen
Summary: This article investigates the bearing-only containment control problem for multi-agent systems with dynamically changing topologies in two cases: when the leaders are stationary and when the leaders are dynamic. It is proven that all the followers converge to the stationary convex hull formed by the leaders asymptotically by restricting the boundedness of the nonlinear parameters and the connectivity of the switching directed sensing graphs. Additionally, a distributed estimator is proposed to keep a local estimate of the velocity of the leaders, and it is proven that all the followers converge to the dynamic convex hull formed by the leaders asymptotically under certain conditions on the switching directed sensing and communication graphs. The distance information is not necessary for containment control, and containment can be achieved with only the bearing information.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Yifan Liu, Housheng Su
Summary: This paper introduces two novel sampled data containment control protocols for second-order multi-agent systems with periodic intermittent communication. Necessary and sufficient conditions are obtained for both protocols with or without time delay. It is shown that containment control can be achieved in both cases, and the smaller the time delay, the easier it is to calculate the interval of the appropriate sampling period. The theoretical results are verified through simulations.
Article
Automation & Control Systems
Zewei Yang, Yurong Liu, Wenbing Zhang, Fawaz E. Alsaadi, Khalid H. Alharbi
Summary: This paper focuses on the problem of differential privacy-based containment control for discrete-time multi-agent systems with time-varying topology. Injecting uncorrelated noise into the data during information transmission prevents leakage of private information and enables bounded containment control. The paper also studies convergence accuracy and verifies the effectiveness of the proposed privacy protection mechanism in protecting the followers' initial states.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2022)
Article
Computer Science, Artificial Intelligence
Dajie Yao, Chunxia Dou, Dong Yue, Xiangpeng Xie
Summary: This article addresses an event-triggered fixed-time containment control issue for stochastic nonlinear multiagent systems, which reduces update frequency for controller update. It develops an adaptive fuzzy containment control strategy for stochastic uncertain multiagent systems by combining backstepping technique and fuzzy logic systems, ensuring containment errors converge to a small range in fixed time. Simulation results demonstrate the correctness of the proposed scheme for practical examples.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Automation & Control Systems
Yanhui Zhang, Jian Sun, Hongyi Li, Wei He
Summary: This article investigates an adaptive bipartite containment control problem for stochastic nonlinear multiagent systems with an event-triggered mechanism. A novel error compensator is designed to address the mismatch issue in dynamic surface control method, while fuzzy-logic systems are utilized to identify unknown nonlinear characteristics. By leveraging stochastic Lyapunov stability theory and backstepping design technique, the system's convergence and stability are proven.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Automation & Control Systems
Younan Zhao, Fanglai Zhu, Wei Zhang, Housheng Su
Summary: This paper presents an observer-based security control scheme for handling denial-of-service attacks in a nonlinear cyber-physical system. By constructing an attack model and analyzing the closed-loop stability, stable control of the CPS is achieved.
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
(2023)
Article
Automation & Control Systems
Bo Liu, XiXi Shen, Suoxia Miao, Housheng Su
Summary: This paper studies the controllability of networks with positive and negative weighted interactions. It gives a quantitative characterization of controllability based on the influence pattern of leaders and establishes some algebraic and graphical features. The paper also provides numerical examples and simulation results.
IET CONTROL THEORY AND APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Guangying Qiu, Qingying Li, Dan Tao, Housheng Su, Chunlei Zhou
Summary: This paper proposes a strategy to restore blurred images by using machine learning technology for sex determination of silkworm pupae. The effective sharp edges are predicted using a rolling guidance filter. The accurate kernel is estimated and the clear image is recovered using L0 regularization term, gradient prior, and hyper-Laplacian prior.
SIGNAL IMAGE AND VIDEO PROCESSING
(2023)
Article
Automation & Control Systems
Suoxia Miao, Housheng Su
Summary: This article examines the consensus control problems of matrix-weighted hybrid multiagent systems (MASs) and proposes three consensus algorithms. The consensus criteria are established via matrix theory and stability theory.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Mathematics, Applied
Jingwang Li, Qing An, Housheng Su
Summary: In this paper, a class of distributed constraint-coupled optimization problems is studied with a focus on the combination of smooth and strongly convex functions and possibly non-smooth convex functions. A novel proximal nested primal-dual gradient algorithm (Prox-NPGA), which extends the existing algorithm NPGA, is proposed. The convergence of Prox-NPGA is proved and the upper bounds of the step-sizes are provided. Numerical experiments are conducted to validate the theoretical results and compare the convergence rates of different versions of Prox-NPGA.
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
Automation & Control Systems
Housheng Su, Xiaotian Wang, Zhiwei Gao
Summary: This article investigates interval coordination problems in multiagent systems with antagonistic interactions. It demonstrates that for strongly connected signed networks, bipartite consensus is achieved when the intersection of intervals imposed by agents is nonempty and the network is structurally balanced. Moreover, if the signed network is structurally unbalanced, all agents' states must converge to 0. The consensus conditions for bipartite consensus and zero-value consensus are established by utilizing the gauge transformation and robust analysis of signed networks. The article also discusses the case of strongly connected signed networks with an empty intersection of intervals, where the system reaches an asymptotically stable and unique equilibrium determined solely by the network structure and interval constraints.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Housheng Su, Suoxia Miao
Summary: Due to the interdependence of multidimensional states between agents in many practical scenarios, it is more accurate to model multiagent systems by matrix coupling networks. Existing related results rely on undirected networks. This article discusses the consensus problems for matrix-weighted continuous-time, discrete-time multiagent systems over fixed directed network topologies, and switched multiagent systems switching between continuous-time dynamics and discrete-time dynamics over fixed directed and switching undirected network topologies. The proposed matrix-weighted algorithms establish consensus criteria over fixed directed network topologies for continuous-time, discrete-time, and switched multiagent systems using analysis theory and matrix theory. Additionally, the consensus conditions of switched multiagent systems under undirected switching network topology are deduced using Lyapunov stability theory. Several examples are provided to demonstrate the correctness of the theoretical results.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Engineering, Electrical & Electronic
Chengjie Xu, Yuyan Qin, Housheng Su
Summary: In this paper, the dynamic event-triggered bipartite consensus problem is investigated for discrete-time multi-agent systems (MASs) under competitive network. A new observer-based protocol is proposed using the relevant output information. By employing the Lyapunov function method, some sufficient conditions are derived and the control gains can be determined by solving discrete-time algebraic Riccati equations. Finally, a simulation example is presented to validate the theoretical results effectively.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2023)
Article
Computer Science, Artificial Intelligence
Qian Qiu, Housheng Su
Summary: This article tackles the exponential synchronization control problem of reaction-diffusion neural networks (RDNNs) by employing a sampling-based event-triggered scheme. The proposed control algorithm updates the event-triggered control protocol only when the triggering condition is met, based on the sampled state information, reducing communication burden and saving energy. The algorithm also incorporates sampled-data control, effectively avoiding the Zeno phenomenon. By constructing a proper Lyapunov-Krasovskii functional and utilizing significant inequalities, a sufficient condition for achieving exponential synchronization in RDNNs is obtained. Simulation results are presented to demonstrate the effectiveness of the algorithm.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Automation & Control Systems
Yucheng Yang, Housheng Su, Zhigang Zeng, Xiaoling Wang
Summary: This article considers the robust consensus problem of a general linear multiagent system subject to disturbances and input saturation. The authors propose a distributed low gain feedback-based dynamic output feedback control protocol that achieves semi-global robust consensus. Additionally, a specialized design method for leader-following consensus is addressed.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Mingkang Long, Housheng Su
Summary: This article investigates the robust consensus problem of multiple Euler-Lagrange systems (MELSs) in the presence of time-varying input disturbance and uncertain communication link faults (CLFs). The authors propose a fully distributed observer-based PI control protocol that is robust to both time-varying input disturbance and CLFs.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2023)
Article
Computer Science, Cybernetics
Dan Chen, Housheng Su, Zhigang Zeng
Summary: The authors extend the framework of geometric renormalization group (GR) to weighted networks and demonstrate its ability to sustain the self-similarity of weighted networks. They further experiment with reconstructed human connectomes at different resolutions and find that the topological features exhibit self-similar behaviors. The results provide important insights into brain mechanisms and have significant implications for network science, neuroscience, and physics understanding.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2023)
Article
Automation & Control Systems
Qian Qiu, Housheng Su
Summary: This study investigates the exponential consensus issue for leader-following multiagent systems (MASs) based on nonlinear parabolic partial differential equations (PDEs) on a directed graph using intermittent boundary control (IBC) methods. The study designs an IBC protocol based on transfer information and boundary coupling information to achieve exponential consensus for MASs when the state is accessible. Additionally, when the state is not completely available, an observer is proposed to estimate the agent's state, and an IBC protocol is designed using the observer's coupling information and the agent's boundary coupling information to solve the leader-following consensus issue. Numerical simulations are provided to validate the theoretical results.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Yaping Sun, Housheng Su, Xiaoling Wang, Hai-Tao Zhang
Summary: This work focuses on the scaled consensus problems of exponentially unstable networked systems with time-varying input delays. The study presents a distributed consensus algorithm using the truncated predictor feedback technique and evaluates a delay bound through the Lyapunov function-based method. It is shown that consensus is guaranteed when the time-varying input delay remains within the delay bound. Furthermore, the relationship between delay bound and network synchronizability is established, indicating that better network synchronizability allows for a larger delay bound. The theoretical results are verified and actual delay bounds are evaluated in simulation examples.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Xiaotian Wang, Housheng Su
Summary: A novel model of transmission-constrained consensus over random networks is proposed, considering the impact of information distortions and stochastic information flow caused by environmental conditions. The model utilizes heterogeneous functions and a directed random graph to represent transmission constraints and the characteristics of information flow. Using stochastic stability theory and the martingale convergence theorem, it is proved that agent states will converge to a consensus value with probability 1 despite information distortions and randomness.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
