Article
Automation & Control Systems
Lei Zou, Zidong Wang, Jun Hu, Hongli Dong
Summary: This article presents a novel filtering scheme for linear time-delay systems to protect the filtering performance from impulsive measurement outliers using parameter-dependent filtering approach and outlier detection scheme, which effectively handles random impulse measurement anomaly cases.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
Article
Automation & Control Systems
Bo Yang, Xinxing Chen, Rong Cheng, Jian Huang
Summary: In this article, an outlier-robust zonotope set-membership filter is proposed for uncertain nonlinear systems susceptible to outliers. A linearization method based on Stirling's interpolation formula is proposed to linearize nonlinear systems, and an outlier detector utilizing the linearization error bounds, the prediction domain, and the output feasible domain is constructed. The effectiveness of the proposed approach is evaluated by two simulation examples.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Lei Liu, Lifeng Ma, Jian Guo, Jie Zhang, Yuming Bo
Summary: This paper examines the distributed set-membership filtering problem for a class of discrete time-varying systems over digital wireless sensor networks. A new coding-decoding communication strategy is implemented to regulate data transmission, and matrix inequalities are established to address the filtering problem solvability. A sub-optimal problem is presented to seek the locally optimal distributed filter.
Article
Automation & Control Systems
Qinghua Li, Aditya Tulsyan, Zhonggai Zhao, Biao Huang, Fei Liu
Summary: This paper proposes a robust particle filtering method based on the ellipsoidal set membership filtering (ESMF) approach to deal with state estimation problems in the presence of bounded uncertain parameters. The method employs ellipsoidal sets to enclose parameter uncertainty and utilizes ellipsoidal calculation to determine prior and posterior particles. By incorporating parameter uncertainty into state estimation, the method combines the advantages of ESMF and particle filter. The effectiveness of the proposed method is demonstrated through three simulation examples.
JOURNAL OF PROCESS CONTROL
(2023)
Article
Engineering, Biomedical
Bo Yang, Jian Huang
Summary: This study proposes an eye-movement modality-based zonotope set-membership filtering framework (EM-ZSMF) to reduce noise and eliminate outliers in gaze signals. The framework consists of an eye-movement modality recognition model (EG-NET), an eye-movement modality-based gaze movement model (EMGM), and a zonotope set-membership filter (ZSMF). The proposed framework achieved excellent performance in recognizing eye-movement modalities and filtering gaze signals.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2023)
Article
Automation & Control Systems
Ahmad Al-Mohamad, Vicenc Puig, Ghaleb Hoblos
Summary: This paper proposes a robust recursive zonotopic set-membership approach for remaining useful life forecasting of linear parameter-varying systems with degraded components. The approach formulates the degraded components as a system-level prognostics problem and reformulates it as a linear parameter-varying model. It adopts joint estimation of states and parameters in a zonotopic set-membership scheme with optimal tuning based on linear matrix inequality. The approach is applied to predict the failure precursors of degraded systems and tested on a DC-DC converter case study with unknown degradation behaviors, demonstrating its estimation and forecasting accuracy.
Article
Engineering, Electrical & Electronic
Ming Lin, Jie Li, Yan-Ni Zeng, Chang Liu, Hongxia Rao
Summary: This paper focuses on set-membership filtering for time-varying complex networks with randomly varying nonlinear coupling structure. A new coupling model governed by a sequence of Bernoulli stochastic variables is proposed. The connection relationships among multiple nodes of complex networks are nonlinear. A sufficient condition is derived using mathematical induction to ensure that the filtering error remains within an ellipsoid region at each time step. The desired filter gain is obtained by minimizing the ellipsoid constraint matrix (in the sense of trace) using a recursive linear matrix inequalities algorithm. Finally, a simulation example is presented to demonstrate the effectiveness of the proposed theory.
CIRCUITS SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Automation & Control Systems
Haoyang Yu, Jun Hu, Baoye Song, Hongjian Liu, Xiaojian Yi
Summary: This paper investigates the energy-to-peak filtering issue for a class of linear parameter-varying systems with time delays and communication regulations. A parameter-dependent resilient filter is proposed to achieve asymptotic stability and the desired performance. The filter design is based on the plant dynamics and scheduling behavior of the random access protocol. Linear matrix inequalities are used to obtain the desired filter gain matrices. A simulation example is provided to validate the effectiveness of the proposed filter design scheme.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2022)
Article
Automation & Control Systems
Meiyu Li, Jinling Liang, Fan Wang
Summary: This paper investigates the set-membership filtering problem for a class of polytopic uncertain two-dimensional shift-varying systems with delays and sensor saturation. It aims to design a robust set-membership filter to ensure that the real system states are always contained in the state estimate ellipsoid under various uncertainties and perturbations. The paper provides sufficient conditions for the existence of the desired filter and proposes a convex optimization method to determine the optimal state estimation ellipsoid, with a numerical example to illustrate the effectiveness of the proposed strategy.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2022)
Article
Automation & Control Systems
Jun-Yi Li, Zidong Wang, Renquan Lu, Yong Xu
Summary: This paper addresses the set-membership filtering problem for discrete time-varying systems under bit rate constraints and unknown-but-bounded noises. The communication between sensor nodes and filters is implemented through a wireless digital communication network with limited bandwidth. A component-based coding-decoding procedure is proposed to decode messages from different components scattered in different physical locations. A recursive set-membership filtering scheme is developed, and the co-design issue of the bit rate allocation protocol and the filter gain is solved using particle swarm optimization and recursive filtering algorithms. Numerical simulations validate the effectiveness of the proposed approach.
Article
Automation & Control Systems
Jingyang Mao, Derui Ding, Guoliang Wei
Summary: The article presents a novel stubborn set-membership filtering approach for discrete-time nonlinear systems with state-delays, unknown-but-bounded noises, and abnormal measurements. By using a dynamic event-triggered scheme and distributed fuzzy filter, the real state is obtained while mitigating the impact of abnormal measurements. The proposed algorithm for determining the ellipsoids and filter gains operates independently of global network topology information.
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
(2021)
Article
Chemistry, Analytical
Anirudh Chhabra, Jashwanth Rao Venepally, Donghoon Kim
Summary: The study discussed the use of UWB sensors in a positioning system, proposing sequential adaptive EKF and piecewise adaptive EKF as methods for accurate positioning. Results showed that these approaches achieved higher accuracy compared to traditional EKF methods in varying noise situations.
Article
Automation & Control Systems
Danyang Qu, Zheng Huang, Yiwen Zhao, Guoli Song, Kui Yi, Xingang Zhao
Summary: In this paper, a state estimation method called the Extended Parallelotope Set-Membership Filter is proposed, which achieves higher estimation accuracy for discrete-time nonlinear systems compared to existing methods. The method reduces redundancy generated by iteration operations in existing methods and improves accuracy through an innovative parallelotope envelope method and cofactor separation method. It also introduces a novel parallelotope intersection method for updating the state set.
Article
Computer Science, Information Systems
Yiting Gao, Lifeng Ma, Mengjun Zhang, Jian Guo, Yuming Bo
Summary: This article investigates the design of a distributed set-membership filter for a class of general nonlinear discrete time-varying systems with measurements collected by distributed sensors. A dynamic coding-decoding technique is applied during data transmission among sensing nodes to limit estimation error. Conditions for the existence of the required filter and determination of filtering gains are established through solving matrix inequalities, and a suboptimal problem is discussed to guarantee locally optimal filtering performance. The provided theoretical framework is demonstrated through a numerical example.
IEEE SYSTEMS JOURNAL
(2022)
Article
Automation & Control Systems
Zhichao Pan, Xiaoli Luan, Fei Liu
Summary: This paper discusses the set-membership state and parameter estimation problems for linear time-varying systems. Parameter and state estimation are done using polytopic linear parameter varying (LPV) enclosures, while the constrained zonotope (CZ) is used to describe sets of interest. The proposed algorithm strikes a better balance between computational accuracy and efficiency. A numerical example is provided to illustrate its effectiveness.
INTERNATIONAL JOURNAL OF CONTROL
(2022)
Article
Substance Abuse
Zi-Liang Wang, Marc N. Potenza, Kun-Ru Song, Guang-Heng Dong, Xiao-Yi Fang, Jin-Tao Zhang
Summary: This study aims to identify subgroups of people with internet gaming disorder based on addiction-related functional connectivity and investigate the clinical correlates and treatment responses of these subgroups. Two subgroups with distinct connectivity patterns and clinical profiles were identified, suggesting the existence of different phenotypes within internet gaming disorder.
Article
Computer Science, Theory & Methods
Fei Guo, Zilong Wang, Guang Gong
Summary: In this paper, three secondary methods for constructing bent-negabent functions under different frameworks are presented. The necessary and sufficient conditions for generating these functions are analyzed. Several constructions are proposed based on these frameworks.
DESIGNS CODES AND CRYPTOGRAPHY
(2023)
Article
Computer Science, Information Systems
Peixin Ren, Xiaozhuo Gu, Ziliang Wang
Summary: This paper presents a quantum-safe password-authenticated key exchange protocol and demonstrates its practicality through rigorous security proofs and performance analysis.
IET INFORMATION SECURITY
(2023)
Article
Automation & Control Systems
Fan Wang, Zidong Wang, Jinling Liang, Carlos Silvestre
Summary: This article addresses the recursive filtering problem of a two-dimensional system array with random sensor failures and dynamic quantizations. The occurrence of sensor failures is governed by a random variable with known statistical properties. To deal with data transmission over networks with limited bandwidth, a dynamic quantizer is utilized to compress raw measurements into quantized ones. The main objective of this article is to design a recursive filter that guarantees a locally minimal upper bound on the filtering error variance. To support the filter design, the states of the dynamic quantizer and the target plant are integrated into an augmented system, which enables the derivation of an upper bound on the filtering error variance and its subsequent minimization at each step. The expected filter gain is parameterized by solving coupled difference equations. Furthermore, the article discusses the monotonicity of the resulting minimum upper bound with respect to the quantization level and investigates its boundedness. Finally, the effectiveness of the developed filtering strategy is demonstrated through a simulation example.
Article
Automation & Control Systems
Shaoying Wang, Zidong Wang, Hongli Dong, Yun Chen
Summary: This paper investigates the recursive quadratic state estimation problem for a class of stochastic nonlinear systems subject to non-Gaussian noises using energy-harvesting sensors. The original system is transformed into a new nonlinear system that exploits more information about the non-Gaussian noises. A quadratic estimator is designed using a recursive variance-minimization algorithm. The effectiveness of the proposed quadratic estimation algorithm is demonstrated through a simulation example.
Article
Computer Science, Artificial Intelligence
Zhigang Liu, Xin Luo, Zidong Wang, Xiaohui Liu
Summary: This study proposes a Constraintinduced Symmetric Nonnegative Matrix Factorization (C-SNMF) model for community detection. Experimental results demonstrate that the proposed model significantly outperforms benchmarks and state-of-the-art models in achieving highly-accurate community detection results.
INFORMATION FUSION
(2023)
Article
Computer Science, Artificial Intelligence
Zhongyi Zhao, Zidong Wang, Lei Zou, Yun Chen, Weiguo Sheng
Summary: This paper studies the distributed fusion estimation problem for a class of nonlinear networked systems with unknown-but-bounded (UBB) noises. It proposes a zonotopes-based distributed fusion estimator by designing local estimators and fusion methods. The effectiveness of the proposed method is illustrated through a numerical example.
INFORMATION FUSION
(2023)
Article
Automation & Control Systems
Yanyang Lu, Bo Shen, Yuxuan Shen, Jinghui Suo
Summary: This paper addresses the issue of measurement outlier (MO)-resistant mobile robot localization (MRL). A time-varying state estimator with a saturation function containing variable saturation level is proposed to mitigate the effect of MOs. The goal is to devise an effective solution for the MRL problem by ensuring that the estimation error dynamics meets the H-∞ performance constraint over a finite horizon. The paper derives the existing condition of the estimator by constructing an appropriate Lyapunov function, and provides the desired state estimator gain through solving a set of matrix inequalities, presenting the MO-resistant MRL algorithm. An example is conducted to demonstrate the usefulness of the proposed MRL algorithm.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2023)
Article
Engineering, Civil
Fengying Wu, Zilong Wang, Lin Zhao, Tao Pan, Haizhu Xiao, Yaojun Ge
Summary: The influence of additional structural elements on the aerodynamic characteristics of a double-slotted box girder for hybrid bridges was investigated. It was found that wind barriers and balustrades have a considerable impact on Vortex-induced vibrations (VIVs), while maintenance rails have limited influence. The distribution of wind pressures on specific parts of the bridge deck further contributed to the generation of torsional VIVs.
JOURNAL OF BRIDGE ENGINEERING
(2023)
Article
Materials Science, Multidisciplinary
Jie Sun, Zilong Wang, Huanming Lu, Wenrui Zhang
Summary: This study investigates the effect of selective site doping on the phase transition behavior of BiVO4 using in-situ high-temperature X-ray diffraction. It is found that doping agents assist in structure distortion and lower the transition temperature.
Article
Engineering, Multidisciplinary
Weihao Song, Zidong Wang, Zhongkui Li, Hongli Dong, Qing-Long Han
Summary: This paper investigates the particle filtering problem for a class of discrete-time nonlinear complex networks with stochastic perturbations under the scheduling of random access protocol. The stochastic perturbations include on-off stochastic coupling, non-Gaussian noises, and measurement censoring. A random access protocol is used to alleviate data collision over the networks, and two expressions of the modified likelihood function are established to weaken the adverse effects from measurement censoring. A protocol-based filter is designed in the auxiliary particle filtering framework to generate new particles and assign weights based on the derived likelihood function. The developed filtering scheme is demonstrated to be practicable and effective through a multi-target tracking application.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Bogang Qu, Zidong Wang, Bo Shen, Hongli Dong, Hongjian Liu
Summary: This paper investigates the joint state and unknown input estimation (SUIE) problem for multi-machine power grids within energy networks under the event-triggered mechanism. It develops easy-to-implement algorithms to estimate the field voltage and mechanical torque of the synchronous generator (SG), which are generally difficult to be measured in engineering practice. An event-based transmission strategy is used to coordinate the massive PMU-based signal transmissions, and an event-based joint SUIE algorithm is designed to guarantee and minimize the estimation error covariances of both the unknown input and the state. Simulation experiments on the IEEE 39-bus system validate the developed estimation algorithm.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Automation & Control Systems
Hengli Cheng, Bo Shen, Jie Sun
Summary: In this paper, the distributed fusion filtering issue is investigated for multi-sensor systems with the constraints from both time-correlated fading channels and energy harvesters. A dynamic energy-allocated rule is proposed to properly deal with the energy supply relationship between a battery and multiple sensors. The local filter is designed to minimize the upper bound of the local filtering error covariance under the effects of the time-correlated fading channels and energy harvesters, and the fusion estimates are obtained using the covariance intersection approach.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Automation & Control Systems
Chuang Wang, Zidong Wang, Qing-Long Han, Fei Han, Hongli Dong
Summary: In this article, a novel leader-follower-based particle swarm optimization (LFPSO) algorithm is proposed, which maintains the diversity of the particle population while improving the possibility of escaping from the locally optimal solution. Experimental results demonstrate that the proposed algorithm significantly improves the accuracy and convergence rate of conventional particle swarm optimization algorithms, and its superiority is verified in denoising real-time signals in an oilfield pipeline network.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Optics
Lyu Zhi-Fang, Zhang Chang-Qing, Wang Zhan-Liang, Jiang Sheng-Kun, Ruan Cun-Jun, Feng Jin-Jun, Gong Yu-Bin, Duan Zhao-Yun
Summary: This paper provides a brief summary of the generation, formation, and focusing methods of sheet beam, as well as the state-of-the-art of terahertz sheet beam devices. The challenges and development tendencies of stable transport are also discussed.
JOURNAL OF INFRARED AND MILLIMETER WAVES
(2023)
