Article
Automation & Control Systems
Zhiqiang Zuo, Xiong Cao, Yijing Wang, Wentao Zhang
Summary: This article investigates the consensus problem of multiagent systems subject to Denial-of-Service attacks from a control perspective. A distributed observer-based controller is proposed to reconstruct the agents' states, proving that consensus can still be achieved under DoS attacks. The article also addresses scenarios where DoS attacks simultaneously affect communication networks associated with the controller and the observer, providing a sufficient condition to maintain consensus performance of MASs. Numerical simulations are provided to illustrate the theoretical results.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Automation & Control Systems
Yuan-Cheng Sun, Guang-Hong Yang
Summary: This article investigates the problem of event-triggered distributed state estimation for linear multiagent systems under denial-of-service (DoS) attacks. A estimation algorithm is provided based on the measurements relative to the adjacent agents, and a prediction-based switching observer scheme with an event-triggered communication strategy is proposed to solve the invalidation problem caused by DoS attacks. Sufficient conditions for the stability of the estimation error dynamics in the presence of DoS attacks are also presented.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Automation & Control Systems
Hongjiu Yang, Shuang Ju, Yuanqing Xia, Jinhui Zhang
Summary: This paper investigates a predictive cloud control scheme for a networked multiagent system (NMAS) with quantized signals under denial-of-service (DoS) attacks. The proposed scheme compensates for network-induced delays and attack-induced packet dropouts actively through cloud computing and predictive control. Simulation results demonstrate the effectiveness and computing superiority of the scheme.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Automation & Control Systems
Yong-Sheng Ma, Wei-Wei Che, Chao Deng, Zheng-Guang Wu
Summary: This article investigates the problem of observer-based fully distributed containment control for multiagent systems subject to denial-of-service attacks. It establishes a switched fully distributed control framework and develops a novel attack-resilient control scheme to accomplish the containment control task. The major advantages of the devised control scheme are that it does not require any information of the whole network topology structure and only uses information from neighbor agents. Additionally, a novel observer-based attack compensator is designed to resist DoS attacks.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Yang Tang, Dandan Zhang, Peng Shi, Wenbing Zhang, Feng Qian
Summary: This article discusses the formation control problem of nonlinear multiagent systems under denial-of-service attacks, proposing a distributed hybrid event-triggering strategy to preserve formation control. Theoretical results are verified using a benchmark problem of six miniature quadrotor prototypes.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Automation & Control Systems
Yanhui Zhang, Gang Wang, Jian Sun, Hongyi Li, Wei He
Summary: This article studies the adaptive output-feedback consensus control problem of nonlinear multiagent systems against denial-of-service attacks. The article designs a signal to revise the sensor feedback signal subject to disturbance and uses a prescribed performance function to ensure the performance of the control system. By leveraging the Lyapunov stability theory and the backstepping technique, a distributed output-feedback control scheme is designed, and dynamic surface control is utilized to address the problem of complexity explosion.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Yang Yang, Yanfei Li, Dong Yue, Yu-Chu Tian, Xiaohua Ding
Summary: In response to various cyberattacks, such as denial of service (DoS), a distributed secure consensus control with event triggering is developed for linear leader-following MASs. This control scheme uses a dual-terminal event-triggered mechanism and an observer to address the lack of precise calculation of control input during attack periods. The theoretical analysis demonstrates that the followers in MASs under DoS attacks can track the leader effectively while avoiding Zeno behavior.
IEEE TRANSACTIONS ON CYBERNETICS
(2021)
Article
Computer Science, Information Systems
Hongfei Zhu, Jinhai Liu, Zhigang Zhang, Shuo Zhang, Fuming Qu
Summary: This article focuses on the consensus problem of multiagent systems (MASs) under denial-of-service (DoS) attacks and switching topology. A resilient consensus protocol is proposed to address the difficulty of consensus protocol design under switching topology and DoS attacks. A piecewise Lyapunov-Krasovskii function is established to analyze the system's global convergence under switching topology and DoS attacks. The simulation example demonstrates the effectiveness of the proposed method.
IEEE SYSTEMS JOURNAL
(2023)
Article
Automation & Control Systems
Fang Fang, Jiayu Li, Yajuan Liu, Ju H. Park
Summary: In this article, a resilient distributed sampled-data control scheme is proposed for multiagent systems. The scheme introduces novel logic processors to obtain information on DoS attacks and develops resilient distributed controllers using derived criteria. Two examples are provided to demonstrate the efficiency of the proposed scheme.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Computer Science, Information Systems
Shi Li, Choon Ki Ahn, Zhengrong Xiang
Summary: A decentralized OFSD control strategy is proposed to address the global output feedback sampled-data control problem for cyber-physical systems with denial-of-service attacks, utilizing a novel mode-dependent state observer and decentralized OFSD controller. It has been proven that the resulting closed-loop system is globally asymptotically stable, and the effectiveness of the developed strategy has been demonstrated through practical system applications.
IEEE SYSTEMS JOURNAL
(2021)
Article
Computer Science, Artificial Intelligence
Xiang-Gui Guo, Xiao Fan, Jian-Liang Wang, Ju H. Park
Summary: This article investigates an adaptive event-triggered fault detection and isolation scheme for nonlinear networked control systems under DoS attacks, utilizing a novel triggering mechanism and a switching state-feedback controller. The proposed approach demonstrates effectiveness in simulation cases and offers advantages in saving communication resources.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Engineering, Multidisciplinary
Hu AiHua, J. H. Park, Cao JinDe, Hu ManFeng, Luo YiPing
Summary: This paper addresses bipartite consensus over cooperation-competition networks affected by denial-of-service (DoS) attacks, proposing defense strategies based on event-triggered schemes and analyzing the results under certain requirements for the frequency and duration of DoS attacks.
SCIENCE CHINA-TECHNOLOGICAL SCIENCES
(2021)
Article
Automation & Control Systems
Jing-Jing Yan, Guang-Hong Yang, Xiao-Xu Liu
Summary: This article investigates the problem of secure state estimation for nonlinear industrial cyber-physical systems (ICPSs) with multiple transmission channels subject to denial-of-service (DoS) attacks. A new nonlinear resilient observer scheme is proposed using a multigain switching mechanism and Takagi-Sugeno fuzzy models, quantifying resilience by attack duration and frequency. Compared to existing results on linear ICPSs with single transmission channels, the secure estimation problem for nonlinear ICPSs with multiple channels is more challenging and has greater practical significance. The effectiveness of the scheme is illustrated through simulation and experimentation on a rigid robot system and a rotary inverted pendulum.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Yifang Zhang, Zheng-Guang Wu, Peng Shi, Tingwen Huang, Prasun Chakrabarti
Summary: This article focuses on secure consensus problem of linear multiagent systems with quantized event-triggered control against denial-of-service attacks. It discusses DoS attacks with constraints on frequency and duration, which aim to block communication links to destroy consensus. A uniform quantizer and an event-triggered mechanism (ETM) are used to economize energy consumption. An ETC protocol based on quantized relative state is designed to resist malicious DoS attacks. Sufficient conditions for practical consensus of MASs with finite data transmission rates are derived, and tolerance for DoS attack frequency and duration is given. The feasibility of the proposed ETM is indicated by proving the existence of lower positive bounds for all agents, which prevents Zeno behavior. Two simulation examples are provided to verify the validity and superiority of the theoretical results.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Yong-Sheng Ma, Wei-Wei Che, Chao Deng, Zheng-Guang Wu
Summary: This article studies the observer-based event-triggered containment control problem for linear multiagent systems under denial-of-service attacks, proposing an improved separation method-based observer design method and a novel observer-based event-triggered containment controller design method to make the systems resilient to DoS attacks.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Forestry
Zhibin Wang, Haijiao Yang, Dihai Wang, Zhong Zhao
FOREST ECOLOGY AND MANAGEMENT
(2019)
Article
Automation & Control Systems
Haijiao Yang, Dan Ye
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2020)
Article
Biochemistry & Molecular Biology
Yinghui Zhou, Ming Zheng, Zhenyu Liu, Haijiao Yang, Ping Zhu, Jian-Li Jiang, Juan Tang, Zhi-Nan Chen
BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS
(2020)
Article
Mathematics, Applied
Haijiao Yang, Dan Ye
APPLIED MATHEMATICS AND COMPUTATION
(2020)
Article
Automation & Control Systems
Haijiao Yang, Dan Ye
IEEE TRANSACTIONS ON CYBERNETICS
(2020)
Article
Automation & Control Systems
Dan Ye, Kaiyu Wang, Haijiao Yang, Xingang Zhao
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
(2020)
Article
Meteorology & Atmospheric Sciences
Yang Shi, Jiahua Wei, Qiong Li, Haijiao Yang, Zhen Qiao, Yan Ren, Sanchuan Ni, Julong He, Weiwen Shen, Shoukai Cao, Guangqian Wang
Summary: Acoustic agglomeration technology has shown potential for particle removal, with studies indicating that acoustic waves can accelerate particle agglomeration. Field experiments conducted in a high-altitude and non-interference environment revealed the sensitivity of cloud and precipitation parameters to acoustic waves, providing guidance for further research and development of atmospheric interference technology with low-frequency strong acoustic waves.
ATMOSPHERIC RESEARCH
(2021)
Article
Neurosciences
Hao Wang, Jian-Jun Lv, Yu Zhao, Hao-Lin Wei, Tian-Jiao Zhang, Hai-Jiao Yang, Zhi-Nan Chen, Jian-Li Jiang
Summary: The study aimed to understand the roles of CD147 in BBB function and its involvement in neurodegenerative diseases, particularly in Alzheimer's disease (AD). Results showed that CD147 is exclusively expressed in brain endothelial cells (BECs) and is essential for BBB functions such as barrier maintenance and transporter regulation. Targeting CD147 in BECs may represent a novel therapeutic strategy for neurodegenerative diseases.
CNS NEUROSCIENCE & THERAPEUTICS
(2021)
Article
Computer Science, Artificial Intelligence
Haijiao Yang, Dan Ye
Summary: This article investigates fault-tolerant fixed-time cooperative control problem for nonstrict-feedback nonlinear multiagent systems with error constraints and input saturation. Two barrier-function-based fixed-time control strategies are proposed using adaptive technique and power integration technique. These strategies can avoid singular problem, ensure system stability, and reduce energy consumption.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Oncology
Nai-Shan Zheng, Xiang-Yu Zhao, Ding Wei, Jin-Lin Miao, Ze-Kun Liu, Yu-Le Yong, Ren-Yu Zhang, Yi-Xiao Guo, Lin He, Bin Wang, Xiu-Xuan Sun, Hai-Jiao Yang, Tian-Jiao Zhang, Qian He, Xiao-Min Li, Hai Zhang, Rong Hou, Peng Lin, Ying-Ming Xu, Xiao-Jun Huang, Zhi-Nan Chen, Huijie Bian
Summary: CD147-CAR T cell therapy shows potent anti-tumor activity against T cell acute lymphoblastic leukemia (T-ALL) and potential safety towards normal cells and CD147-deficient cells.
Article
Forestry
Zhibin Wang, Lina Jiang, Jinfang Gao, Shiqi Qing, Chao Pan, Yun Wu, Haijiao Yang, Dihai Wang
Summary: This study investigates the microhabitat factors that influence the species composition of understory woody plants and the growth of regeneration in Chinese pine plantations. The results show that soil phosphorus and potassium are the main factors affecting the species composition of understory woody plants, while Chinese pine regeneration, Quercus liaotungensis, and Betula platyphylla have the most potential in the regeneration layer. The density and height growth of regeneration are significantly influenced by factors such as soil nitrogen, potassium, and the density of other understory trees and shrubs.
FOREST ECOLOGY AND MANAGEMENT
(2022)
Article
Environmental Sciences
Dandan Wang, Yuefei Huang, Shuo Zhang, Shufeng Liu, Ting Wang, Haijiao Yang
Summary: This study analyzed bacterial composition, diversity, geographical distribution, and community networks in lake water from three adjacent regions on the Qinghai-Tibet Plateau. The results showed significant differences in bacterial diversity among the regions, and both environmental and spatial factors played a role in shaping the bacterial community composition.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Forestry
Haijiao Yang, Chao Pan, Yun Wu, Shiqi Qing, Zhibin Wang, Dihai Wang
Summary: Thinning in Chinese pine plantations can increase the species richness of understory plants and promote the natural regeneration of Chinese pine. Moderate thinning in half-mature stands and in areas with a humidity index below 30 has the most positive effects. Thinning is a feasible management measure to improve plant diversity and regeneration capacity.
Proceedings Paper
Automation & Control Systems
Jinsong Gao, Haijiao Yang, Shuping He
Summary: This paper investigates the adaptive fuzzy finite-time tracking control problem for nonlinear systems using a novel event-triggered scheme. By introducing a finite-time command filter and a compensating mechanism, the explosion of complexity and singularity promblems caused by repeated differentiations on virtual control signals are overcome. A filter-based finite-time controller is developed using finite-time control technique, which not only solves the complexity explosion problem but also guarantees the stability performance of finite-time convergence. An example is provided to demonstrate the validity of the proposed control strategy.
2022 41ST CHINESE CONTROL CONFERENCE (CCC)
(2022)
