Article
Automation & Control Systems
Xiaozheng Jin, Shaoyu Lu, Jiahu Qin, Wei Xing Zheng, Qingchen Liu
Summary: This article focuses on the output feedback security control of high-order nonlinear-interconnected systems with denial-of-service attacks, nonlinear dynamics, and exogenous disturbances. It adopts extreme learning machine (ELM) and adaptive techniques for nonlinear approximation and develops novel adaptive ELM-based nonlinear state observers to estimate unmeasurable states during DoS attacks under the influence of disturbances. Additionally, adaptive ELM-based controllers are proposed to achieve uniformly ultimately bounded results by combining with backstepping control and filtering techniques under the influence of DoS attacks, nonlinear dynamics, and exogenous disturbances. Comparative studies validate the effectiveness of the developed ELM-based adaptive observation and control strategies for two interconnected power systems.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
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
Weitao Yao, Yu Wang, Yan Xu, Chao Deng
Summary: This article investigates the stability issue of microgrid systems with distributed secondary control under latency attacks and random denial-of-service attacks. It proposes a cyber-resilient control strategy with two control modes to sustain the stability and control functions of the systems under different attack scenarios. Experimental tests on a modified IEEE 13-bus microgrid system verify the effectiveness of the proposed controller.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Automation & Control Systems
Xiaodan Zhang, Feng Xiao, Aiping Wang, Bingxian Mu
Summary: This paper investigates resilient quantized control for networked control systems that operate under limited communication resources and face denial-of-service (DoS) attacks. The focus is to design asynchronous periodic sampling transmission strategies. The paper introduces a new dynamic quantization strategy to address the challenges posed by limited network capabilities. Additionally, numerical simulations are presented to demonstrate the effectiveness of the proposed strategy.©2023 Elsevier B.V. All rights reserved.
SYSTEMS & CONTROL LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Xiaoli Chen, Songlin Hu, Yu Li, Dong Yue, Chunxia Dou, Lei Ding
Summary: This paper proposes a co-estimation and resilient compensation control framework for multi-area load frequency control (LFC) systems in the presence of false data injection (FDI) attacks and denial-of-service (DoS) attacks. The paper introduces a new DoS attack model and constructs switching impulsive and state observers for estimating the unknown attack signal and system state. The paper also derives a new stability criteria for the LFC systems under DoS and FDI attacks, and develops a co-design method for attack compensation controller, state estimator, and attack estimator. Case studies are conducted to verify the effectiveness of the proposed theoretical results.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Automation & Control Systems
Chao Deng, Fanghong Guo, Changyun Wen, Dong Yue, Yu Wang
Summary: This article proposes a cooperative resilient control method for dc microgrid to mitigate the adverse effects of communication delays and DoS attacks. By introducing a new time-varying sampling period and an improved communication mechanism, a resilient secondary controller is designed. The developed method is theoretically shown to achieve bus voltage restoration and current sharing even in the presence of communication delays and DoS attacks.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Automation & Control Systems
Tongxiang Li, Bo Chen, Li Yu, Wen-An Zhang
Summary: An active security control approach is proposed for CPSs under DoS attacks, utilizing a strategy and controller to ensure timely control input updates, maintaining asymptotic stability of the system under two-channel DoS attacks. Simulations and experiments demonstrate the effectiveness of the approach.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Computer Science, Information Systems
Sakineh Khodadadi, Tohid Kargar Tasooji, Horacio J. Marquez
Summary: This paper investigates an observer-based secure control problem for platooning of connected vehicles in the presence of Denial-of-Service (DoS) attacks. The proposed method utilizes an observer-based mechanism to estimate vehicle states and an optimization framework to maximize the duration of DoS attacks. The simulation results confirm the effectiveness of the proposed approach.
Article
Engineering, Electrical & Electronic
Yunning Zhang, Le Wei, Wenlong Fu, Xi Chen, Songlin Hu
Summary: This paper focuses on defending against denial of service (DoS) attacks in multi-terminal high voltage direct current (MTDC) systems during secondary frequency control. By adopting a Bernoulli process model and considering the control objective against DoS attacks, a switching scheme from droop control to secondary frequency regulation is proposed to provide frequency support for MTDC systems.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
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
Automation & Control Systems
Xin Wang, Ju H. H. Park, Huaqing Li
Summary: This article investigates the resilient dynamic event-triggered control issue of IT2 T-S fuzzy systems under DoS and deception attacks. A novel resilient dynamic event-triggering mechanism and corresponding controller are proposed to solve the SES problem. The effectiveness is verified through a numerical simulation on a one-link manipulator.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Xiaodan Zhang, Feng Xiao, Bo Wei, Mei Yu, Kaien Liu
Summary: This article investigates the resilient control for networked control systems in the presence of denial-of-service (DoS) attacks using a sampled-data and dynamic quantization scheme. A novel dynamic quantization strategy is designed for signal transmissions in the presence of DoS attacks. An estimator is introduced to design control laws and sufficient conditions are provided for the asymptotic stability of the system. An event-triggered communication scheme is also designed to reduce network resource consumption.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(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
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, Artificial Intelligence
Shengli Du, Wenying Xu, Junfei Qiao, Daniel W. C. Ho
Summary: This article investigates the resilient output synchronization problem of a linear heterogeneous multiagent system subjected to denial-of-service attacks. Two control mechanisms, event-triggered and self-triggered, are presented to reduce unnecessary information transmission. The quantitative relationship between the attributes of the DoS attacks and synchronization is revealed. The validity of the provided mechanisms is verified through a simulation example.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Guijun Ma, Zidong Wang, Weibo Liu, Jingzhong Fang, Yong Zhang, Han Ding, Ye Yuan
Summary: This article proposes a two-stage integrated method for predicting the remaining useful life (RUL) of lithium-ion batteries. In the first stage, a convolutional neural network (CNN) is used to estimate the cycle life of each battery, and a similar degradation mode is chosen for capacity identification. In the second stage, a personalized prediction is made using the identified parameters. Experimental results demonstrate the superiority of this method over standard CNN-based and GPR-based prediction methods.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Automation & Control Systems
Chunyu Li, Zidong Wang, Weihao Song, Shixin Zhao, Jianan Wang, Jiayuan Shan
Summary: This article investigates the resilient unscented Kalman filtering fusion issue for a class of nonlinear systems under the dynamic event-triggered mechanism. The dynamic event-triggered scheme is capable of scheduling data transmission frequency more efficiently, reducing communication burden and energy consumption. Furthermore, the sequential covariance intersection fusion strategy is introduced to solve the problem of computing cross covariance between local filters.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Shengkun Jiang, Xianfeng Tang, Silong Huang, Zhifang Lyu, Zhanliang Wang, Tao Tang, Huarong Gong, Yubin Gong, Zhaoyun Duan
Summary: To develop a high power and compact terahertz (THz) sheet beam traveling-wave tube (TWT), an all metal metamaterial (MTM)-inspired slow wave structure (SWS) is proposed. The MTM-inspired SWS exhibits advantages such as high interaction impedance, double beam tunnels, and compactness. Through simulation, it is predicted that the maximum output power of the 0.22 THz TWT with double sheet beams can reach 400 W with a 3-dB bandwidth of 5.4 GHz, while having a total length of only 29.2 mm.
IEEE TRANSACTIONS ON ELECTRON DEVICES
(2023)
Article
Engineering, Electrical & Electronic
Junwan Zhu, Zhigang Lu, Jingrui Duan, Zhanliang Wang, Huarong Gong, Yubin Gong
Summary: This paper proposes a modified staggered double grating traveling wave tube (SDG-TWT) slow wave structure (SWS) for wide-band and high-power TWTs operating in the W-band or higher terahertz band, which shows improved performance in terms of saturated power, electron efficiency, and gain.
IEEE TRANSACTIONS ON ELECTRON DEVICES
(2023)
Article
Engineering, Electrical & Electronic
Jingyu Guo, Yang Dong, Ningjie Shi, Shaomeng Wang, Zhanliang Wang, Xianzhu Liu, Tao Tang, Huarong Gong, Zhigang Lu, Zhaoyun Duan, Yubin Gong
Summary: A 0.34-THz standing wave enhanced sheet electron beam traveling-wave tube (SWE-SEB-TWT) is proposed, consisting of staggered double-vane slow wave structures (SDV-SWSs) and multigap resonant cavities. Particle-in-cell (PIC) simulations show an output power of 25 W with a voltage of 19.5 kV and a current of 60 mA, corresponding to a gain exceeding 40 dB. Test results of the high-frequency structure fabricated by CNC milling validate its expected characteristics.
IEEE TRANSACTIONS ON ELECTRON DEVICES
(2023)
Article
Engineering, Electrical & Electronic
Jingrui Duan, Zhigang Lu, Junwan Zhu, Zhanliang Wang, Shaomeng Wang, Huarong Gong, Yubin Gong
Summary: Increasing the interaction current capacity and impedance is crucial for high-power TWT in $\textit{W}$-band and THz-band. The dual-tunnel FW (DTFW) with increased distance between metal walls is proposed, leading to improved bandwidth and interaction impedance. Particle-in-cell simulation shows the superiority of DTFW-SWS in terms of power, gain, and efficiency compared to FW-SWS. Therefore, DTFW-SWS shows promising potential for high-power and wide-bandwidth TWT in $\textit{W}$-band and THz-band.
IEEE TRANSACTIONS ON ELECTRON DEVICES
(2023)
Article
Physics, Applied
Cong Wang, Yurong Liu, Baozi Wu, Jian Sui
Summary: The study has used double-stacked gate dielectrics (DSGD) to enhance the electrical performance of zinc oxide thin-film transistors (ZnO-TFT) with single-layer NbLaO gate dielectric (SLGD). Compared to ZnO-TFT with SLGD, the ZnO-TFTs with DSGD have shown significant improvement in electrical performance, particularly for the device with NbLaO/SiO2 DSGD, with increased field-effect mobility, on/off current ratio and reduced subthreshold slope. The enhanced performance is attributed to low surface roughness and trap-state density in the bulk of the channel and at the ZnO/NbLaO interface. These findings suggest the potential application of ZnO-TFTs with DSGD in high-resolution flat panel displays.
MODERN PHYSICS LETTERS B
(2023)
Article
Computer Science, Artificial Intelligence
Yuqing Zhang, Peishu Wu, Han Li, Yurong Liu, Fuad E. Alsaadi, Nianyin Zeng
Summary: In this paper, a novel dual-pathway-fusion-based sequence-to-sequence learning model (DPF-S2S) is proposed for text recognition in the wild. It focuses on enriching spatial information and extracting high-dimensional representation features to aid decoding. The model incorporates a double alignment module to tackle text misalignment and a global fusion module to enhance recognition accuracy in complicated scenes. Benchmark evaluations on seven datasets demonstrate the superiority of DPF-S2S over other state-of-the-art text recognition methods, showcasing its competitiveness in identifying texts in regular and irregular scenes. Ablation studies further validate the effectiveness of the strategies employed in DPF-S2S.
Article
Computer Science, Artificial Intelligence
Qiankun Song, Linji Yang, Yurong Liu, Fuad E. Alsaadi
Summary: This paper investigates the stability issue of quaternion-valued neural networks with neutral delay, proportional delay, and leakage delay. By utilizing the principle of homeomorphism, techniques of matrix inequality, and Lyapunov stability theory, a main stability criterion is derived in the form of a quaternion-valued linear matrix inequality to ensure the unique existence and global stability of the equilibrium point for the considered networks. An illustrative example and simulations are provided to demonstrate the effectiveness of the theoretical result.
Article
Medicine, General & Internal
Shuang Liu, Limei Yuan, Jinzhu Li, Yurong Liu, Haibo Wang, Xingye Ren
Summary: The aim of this research was to explore the diagnostic value of circDENND4C in EOC and the corresponding mechanism. The expression of circDENND4C and miR-200b/c in tissues, serum, and cell lines of EOC were analyzed. It was found that circDENND4C was lowest while miR-200b/c was highest in EOC tissues and serums. Furthermore, circDENND4C was involved in the malignant progression of EOC by suppressing cell proliferation and stimulating apoptosis through downregulating miR-200b/c. Serum circDENND4C showed a higher specificity and accuracy than serum CA125 or HE4 in EOC diagnosis.
ANNALS OF MEDICINE
(2023)
Article
Mathematics, Applied
Dan Liu, Zidong Wang, Yurong Liu, Changfeng Xue, Fuad E. Alsaadi
Summary: In this paper, a distributed filter is proposed for time-varying systems corrupted by dynamic bias and packet disorders over sensor networks. The system, which includes stochastic bias governed by a dynamical equation, takes into account transmission delays described by random variables with known probability distributions. The paper focuses on the construction of a distributed and recursive filter under the corruption of dynamic bias and packet disorders. Upper bounds on attained error covariances are obtained and minimized by parameterizing filter gains. Additionally, a sufficient condition is presented to ensure mean-square boundedness of filtering errors. An example is provided for verification of the proposed method. (c) 2022 Elsevier Inc. All rights reserved.
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
Automation & Control Systems
Jun-Yi Li, Zidong Wang, Renquan Lu, Yong Xu
Summary: This article addresses the issue of distributed filtering for linear discrete-time systems in wireless sensor networks with bounded noises and constrained bit rate. The communication between sensor nodes is achieved through a limited bandwidth wireless digital communication network. A bit rate constraint, influenced by bandwidth allocation strategy, is used to measure the impact of network bandwidth on distributed filtering performance. An improved coding-decoding procedure enables each node to decode messages from its neighbors. Based on this procedure, a decoded-innovation-based distributed filtering scheme is proposed and a sufficient condition is established for bounded filtering error dynamics. The relationship between bit rate and specific filtering performance is then discovered.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Engineering, Electrical & Electronic
Jinjing Luo, Jin Xu, Pengcheng Yin, Jian Zhang, Dongdong Jia, Wuyang Fan, Yue Ouyang, Lingna Yue, Jinchi Cai, Hairong Yin, Gangxiong Wu, Zhanliang Wang, Yubin Gong, Yanyu Wei
Summary: The article introduces a novel slow wave structure (SWS) called sine-shaped FWG (S-FWG) as a promising choice for a high-power amplifier. By transforming the arc-shaped segment of the traditional FWG into a sinusoidal waveguide, the proposed SWS can be optimized quickly and produce a greater interaction impedance, leading to higher output power compared to the traditional FWG SWS.
IEEE TRANSACTIONS ON ELECTRON DEVICES
(2023)
Article
Computer Science, Artificial Intelligence
Kaiqun Zhu, Zidong Wang, Guoliang Wei, Xiaohui Liu
Summary: This article investigates the adaptive neural network-based set-membership state estimation problem for a class of nonlinear systems subject to bit rate constraints and unknown-but-bounded noises. A bit rate allocation mechanism is proposed to relieve the communication burden and improve state estimation accuracy. An NN-based set-membership estimator is designed using the NN learning method, relying upon a prediction-correction structure. The existence of adaptive tuning parameters and set-membership estimators is ensured, and the convergence of NN weights is analyzed.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Xin Luo, Yurong Zhong, Zidong Wang, Maozhen Li
Summary: This study proposes an ASNL model for handling large-scale undirected networks, which can efficiently represent incomplete and imbalanced data of SHDI matrices, and has fast model convergence and high computational efficiency. Empirical studies on four SHDI matrices demonstrate that ASNL significantly outperforms other models in prediction accuracy and computational efficiency.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)