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Stability and Stabilization of Sampled-Data Based LFC for Power systems:A Data-Driven Method

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 291-293页

作者： Yu-Long Fan Chuan-Ke Zhang Yong He the School of Automation China University of Geosciences the Hubei key laboratory of Advanced control and intelligent Automation for complex systems the Engineering Research Center of intelligent Technology for Geo-Exploration Ministry of Education IEEE

Dear Editor,This letter is concerned with stability analysis and stabilization design for sampled-data based load frequency control(LFC) systems via a data-driven method. By describing the dynamic behavior of LFC systems based on a data-based representation, a stability criterion is derived to obtain the admissible maximum sampling interval(MSI) for a given controller and a design condition of the PI-type controller is further developed to meet the required MSI. Finally, the effectiveness of the proposed methods is verified by a case study.

关键词： Sampled data control systems

Observer-based event-triggered formation tracking control for second-order multi-agent systems in constrained region

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Science China(Information Sciences) 2025年第2期68卷 151-169页

作者： Fenglan SUN Zhonghua XU Wei ZHU ■ KURTHS key Lab of intelligent Analysis and decision on complex systems School of ScienceChongqing University of Posts and Telecommunications key Lab of intelligent Air-Ground Cooperative control for Universities in Chongqing College of AutomationChongqing University of Posts and Telecommunications Department of complexity Science Potsdam Institute for Climate Impact Research Institute of Physics Humboldt University of Berlin

In this paper, an event-triggered time-varying formation tracking control for a class of second-order nonlinear multiagent systems(MAS) operating within a constrained region is investigated. To mitigate the negative effects of external unknown disturbance, a novel disturbance observer with performance guarantees is proposed, enabling precise disturbance *** the artificial potential field(APF) method, a repulsive potential function is introduced to prevent inter-agent collisions as well as collisions with environmental obstacles. To reduce continuous communication and frequent system updates, a sliding mode technique is incorporated into the formation tracking controller, utilizing an event-triggered mechanism. The controller is also applicable to the formation control of MAS in switching-constrained regions. The achievement of the specified timevarying geometric formation is rigorously demonstrated through the Lyapunov framework. Numerical simulations are presented to validate the effectiveness of the theoretical results.

关键词： formation tracking control region constraints repulsive potential function event-triggered mechanism

Time-Varying Formation Tracking control of Heterogeneous Multi-Agent systems With Intermittent Communications and Directed Switching Networks

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 294-296页

作者： Yuhan Wang Zhuping Wang Hao Zhang Huaicheng Yan the Shanghai Research Institute for intelligent Autonomous systems Tongji University the National key laboratory of Autonomous intelligent Unmanned systems the Frontiers Science Center for intelligent Autonomous System of Ministry of Education the College of Electronic and Information Engineering the Department of Control Science and Engineering Tongji University the key laboratory of Advanced control and Optimization for Chemical Processes of Ministry of Education the School of Information Science and Engineering East China University of Science and Technology

Dear Editor,This letter is concerned with the problem of time-varying formation tracking for heterogeneous multi-agent systems(MASs) under directed switching networks. For this purpose, our first step is to present so... 详细信息

关键词： Switches Topology Observers Formation control Event detection Switched systems Multi-agent systems control theory Autonomous systems Stability

Soft Resource Slicing for Industrial Mixed Traffic in 5G Networks

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IEEE/CAA Journal of Automatica Sinica 2025年第2期12卷 463-465页

作者： Jingfang Ding Meng Zheng Haibin Yu the State key laboratory of Robotics and the key laboratory of Networked control systems Chinese Academy of Sciences the Institutes for Robotics and intelligent Manufacturing Chinese Academy of Sciences the University of Chinese Academy of Sciences IEEE

Dear Editor,This letter proposes a dynamic switching soft slicing strategy for industrial mixed traffic in 5G networks. Considering two types of traffic, periodic delay-sensitive (PDS) traffic and sporadic delay-tolerant (SDT) traffic, we design a dynamic switching strategy based on a traffic-Qo S-aware soft slicing (TQASS) scheme and a resource-efficiency-aware soft slicing (REASS) scheme.

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Impulsive thrust strategy for orbital pursuit-evasion games based on impulse-like constraint

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Chinese Journal of Aeronautics 2025年第1期38卷 520-536页

作者： Hongbo WANG Yao ZHANG Hao LIU Kunpeng ZHANG School of Aerospace Engineering Beijing Institute of TechnologyBeijing 100081China National key laboratory of Space intelligent control Beijing Institute of Control EngineeringBeijing 100094China

This paper proposes a novel impulsive thrust strategy guided by optimal continuous thrust strategy to address two-player orbital pursuit-evasion game under impulsive thrust *** strategy seeks to enhance the interpretability of impulsive thrust strategy by integrating it within the framework of differential game in traditional continuous ***,this paper introduces an impulse-like constraint,with periodical changes in thrust amplitude,to characterize the impulsive thrust ***,the game with the impulse-like constraint is converted into the two-point boundary value problem,which is solved by the combined shooting and deep learning method proposed in this *** learning and numerical optimization are employed to obtain the guesses for unknown terminal adjoint variables and the game terminal ***,the accurate values are solved by the shooting method to yield the optimal continuous thrust strategy with the impulse-like ***,the shooting method is iteratively employed at each impulse decision moment to derive the impulsive thrust strategy guided by the optimal continuous thrust *** examples demonstrate the convergence of the combined shooting and deep learning method,even if the strongly nonlinear impulse-like constraint is *** effect of the impulsive thrust strategy guided by the optimal continuous thrust strategy is also discussed.

关键词： Orbital pursuit-evasion game Differential game Impulsive thrust Deep learning Shooting method

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Neural-based prescribed-time consensus control for multiagent systems via dynamic memory event-triggered mechanism

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Science China Technological Sciences 2025年第3期68卷 221-231页

作者： Xiaohong ZHENG Hui MA Qi ZHOU Hongyi LI School of Automation Guangdong-Hong Kong Joint Laboratory for Intelligent Decision and Cooperative Control and Guangdong Provincial Key Laboratory for Intelligent Decision and Cooperative Control Guangdong University of Technology School of Mathematics and Statistics Guangdong University of Technology College of Electronic and Information Engineering and the Chongqing key laboratory of Generic Technology and System of Service Robots Southwest University

This work investigates the implementation of distributed prescribed-time neural network(NN) control for nonlinear multiagent systems(MASs) using a dynamic memory event-triggered mechanism(DMETM). First, it introduces a composite learning technique in NN control. This method leverages the prediction error within the NN update law to enhance the accuracy of the unknown nonlinearity estimation. Subsequently, by introducing a time-varying transformation, the study establishes a distributed prescribed-time control algorithm. The notable feature of this algorithm is its ability to predetermine the convergence time independently of initial conditions or control parameters. Moreover, the DMETM is established to reduce the actuation frequency of the controller. Unlike the conventional memoryless dynamic event-triggered mechanism, the DMETM incorporates a memory term to further increase triggering intervals. Utilizing a distributed estimator for the leader, the DMETM-based NN prescribed-time controller is designed in a fully distributed manner, which guarantees that all signals in the closed-loop system remain bounded within the prescribed time. Finally, simulation results are presented to validate the effectiveness of the proposed algorithm.

关键词： consensus control composite learning control dynamic memory event-triggered control prescribed-time control multiagent systems (MASs)

Approach from the laboratory to the field: New strategies in the control of mosquito-borne infectious diseases

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Science China(Life Sciences) 2025年第1期68卷 303-305页

作者： Ziqian Xu Lianpan Dai Jun Liu National key laboratory of intelligent Tracking and Forecasting for Infectious Diseases(NITFID) National Institute for Viral Disease Control and PreventionChineseCenter for Disease Control and PreventionBeijing 102206China CAS key laboratory of Pathogen Microbiology and Immunology Institute of MicrobiologyChinese Academy of SciencesBeijing 100101China

Vector-borne viruses,transmitted among humans and animal hosts through bites of vectors such as mosquitoes and ticks,pose a great and ongoing threat to public health and biosafety(Yang et al.,2022).Among them,dengue virus-induced epidemics,have dramatically increased worldwide in recent *** report released by the World Health Organization(WHO)at the end of 2023 showed that dengue epidemic globally surged in 2023,with the number of reported cases nearing a historical *** the first four months of 2024,more than 6 million people worldwide were infected by dengue virus,with more than 2,000 *** countries around the world especially the American countries issued warnings,reporting three times the number of dengue cases compared with the same period last *** global climate change,population growth,and urbanization,flaviviral diseases transmitted by Aedes mosquitoes remain a major global biosecurity challenge.

关键词： diseases globally

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Distributed optimal consensus control for multiagent systems based on event-triggered and prioritized experience replay strategies

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Science China(Information Sciences) 2025年第1期68卷 306-321页

作者： Cuijuan ZHANG Lianghao JI Shasha YANG Xing GUO Huaqing LI Chongqing key laboratory of Image Cognition Chongqing University of Posts and Telecommunications key laboratory of intelligent Perception and Computing of Anhui Province Anqing Normal University College of Electronic and Information Engineering Southwest University

This study uses event-triggered(ET) and reinforcement learning methods to investigate the optimal consensus control problem for cooperative-competitive multiagent systems. It proposes a novel distributed ET control strategy, which relies on a prioritized experience replay(PER) policy. This strategy not only conserves communication resources but also ensures acceptable system performance. To implement the proposed method, actor-critic(AC) dual-structured neural networks(NNs) are used to approximate the value function and control policy. In the AC NNs, the weight estimates for the NNs are updated at the moment of event triggering, resulting in a nonperiodic weight adjustment pattern. This approach decreases the computational cost in comparison with the traditional ET mechanism. The PER-based ET mechanism makes full use of valid historical data and effectively establishes a balance between system performance and communication resource ***, it does not require the following two conditions in most existing studies:(1) requirement of the system dynamics model to be known, and(2) persistent excitation. In addition, Zeno behavior is excluded from this study. Finally, a simulation is conducted to confirm the validity of the suggested approach.

关键词： multiagent systems event-triggered mechanism prioritized experience replay dual-structured neural networks optimal consensus control

Digitally-Assisted Analog Self-Interference Cancellation for STAR System

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China Communications 2025年第03期 36-53页

作者： Pan Wensheng Shi Chengzhe Li Tong Shen Ying Shao Shihai National key laboratory of Wireless Communications University of Electronic Science and Technology of China laboratory of Electromagnetic Space Cognition and intelligent control

To enable simultaneous transmit and receive(STAR) on the same frequency in a densely deployed space with multi-interference sources, this work proposes a digitally-assisted analog selfinterference cancellation method, which can acquire reference signals through flexible wired/wireless switching access. Based on this method, the Minimum Mean Square Error algorithm with known channel state information is derived in detail, determining the upper limit of the cancellation performance, and the Adaptive Dithered Linear Search algorithm for real-time engineering cancellation is *** correctness of theoretical analysis is verified by the practical self-interference channel measured by a vector network analyzer. Furthermore, we have designed and implemented the corresponding multiinterference cancellation prototype with the digitallyassisted structure, capable of handling multiple interferences(up to three) and supporting a large receive bandwidth of 100 MHz as well as a wide frequency coverage from 30 MHz to 3000 MHz. Prototype test results demonstrate that in the presence of three interferences, when the single interference bandwidth is 0.2/2/20 MHz(corresponding to the receive bandwidth of 2/20/100 MHz), the cancellation performance can reach 46/32/22 d B or more.

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