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Article
Engineering, Electrical & Electronic
Zhong-Hua Pang et al.
Summary: This paper addresses the issue of false data injection (FDI) attacks on partial sensor measurements of a networked stochastic system. A partial FDI attack strategy is presented, which injects false signals into the feedback communication channel to disrupt the performance of a Kalman filter based output tracking control system. The paper derives the stealthiness condition of the attack and its impact on the closed-loop system, which differs from existing work on FDI attacks against all sensor measurements. The research contributes to ensuring secure control of networked systems by protecting critical sensor measurements from FDI attacks.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2022)
Article
Computer Science, Artificial Intelligence
Lulu Tian et al.
Summary: This study introduces a novel parameterized Generative Adversarial Network (GAN) with improved image segmentation performance, utilizing a new regularization term and automatic selection of optimal hyperparameters through a Particle Swarm Optimization (PSO) algorithm. The algorithm performs well in crack detection and outperforms other conventional GAN algorithms.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
(2022)
Article
Automation & Control Systems
Nianyin Zeng et al.
Summary: In this article, a dynamic-neighborhood-based switching PSO (DNSPSO) algorithm is proposed with improved velocity update mechanism and learning strategy. The differential evolution algorithm is successfully hybridized with the particle swarm optimization algorithm to enhance the solution accuracy for multimodal optimization problems.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Computer Science, Information Systems
Zhong-Hua Pang et al.
Summary: This paper investigates the design and detection problems of stealthy false data injection (FDI) attacks against networked control systems from the different perspectives of an attacker and a defender. Proposed solutions for detecting such attacks are presented, and theoretical analysis and simulation results are provided for evaluation.
INFORMATION SCIENCES
(2021)
Article
Automation & Control Systems
Jingyang Mao et al.
Summary: Recursive filtering for nonlinear systems is a core technology in modern industrial systems, facing challenges such as communication scheduling, limited bandwidth, and security vulnerability. It is of utmost significance in theory and great importance in applications to establish engineering-feasible recursive filtering algorithms for networked nonlinear systems. This paper provides an up-to-date survey of existing nonlinear filtering techniques and raises several challenging issues for further research and practical applications.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Automation & Control Systems
Lei Liu et al.
Summary: This paper investigates the secure distributed set-membership filtering problem for general nonlinear systems over wireless sensor networks. Bias injection attacks and channel fading of wireless communication are taken into account in filter design. By using LMI technique and Taylor's expansion formula, nonlinearity, channel fading, bias injection attacks, and non-fragility are handled simultaneously to address the filter design problem. Sufficient conditions are obtained for pre-specified filtering performance, and an optimal algorithm is proposed for locally best performance. Simulation example demonstrates the effectiveness of the proposed secure filtering algorithm.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Computer Science, Artificial Intelligence
Wenbin Yue et al.
Summary: In this paper, a modified collaborative filtering (MCF) algorithm is developed with improved performance for recommendation systems, combining the merits of both user-based filtering and item-based filtering with optimization using particle swarm algorithm. Experimental results demonstrate that the proposed MCF algorithm outperforms conventional methods in predicting baseline data for FRDA patients.
Article
Automation & Control Systems
Hang Geng et al.
Summary: Multi-sensor filtering fusion (MSFF) is a fascinating subject in the realm of networked filtering due to its advantage of effectively integrating sensor outputs from multiple sources. This paper aims to provide a bibliographical review on MSFF problems with censored measurements under a constrained network environment, including canonical approaches, mathematical models, handling strategies, communication constraints, latest progress, challenges, and future directions.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Automation & Control Systems
Jun Hu et al.
Summary: This paper reviews the latest state estimation schemes for complex dynamical networks (CDNs), covering various methods under different performance indices and focusing on protocol-based and compensation-based state estimation approaches. Challenging problems for future research are outlined to promote theoretical developments in related fields.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Automation & Control Systems
Yamei Ju et al.
Summary: The fault detection of networked dynamical systems has become a topic of increasing interest due to its importance in maintaining high-quality products and operational safety. This paper provides a survey of fault detection trends and techniques in NDSs, focusing on network-induced phenomena and communication scheduling. Frontier topics such as fault detection with communication protocols and cyber-attacks are extensively discussed, along with future research directions in fault detection.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Automation & Control Systems
Xin-Chun Jia
Summary: This paper provides a survey of the trending resource-efficient and secure techniques currently used with distributed estimation algorithms over WSNs, covering state-of-the-art in resource-efficient distributed state estimation and secure distributed state estimation under various attacks.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Automation & Control Systems
Wenbin Yue et al.
Summary: Friedreich's ataxia is a common inherited ataxia that causes progressive damage to the nervous system and deterioration of physical movements. The proposed hybrid collaborative filtering algorithm for baseline data collection demonstrates superior performance compared to conventional approaches, by combining model- and memory-based CF methods.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Automation & Control Systems
Jun Hu et al.
Summary: This paper discusses the challenges brought by the insertion of communication networks in networked control systems and the role and application of sliding mode control in NCSs. The article summarizes new sliding mode control schemes for issues such as time delays, packet losses, quantization, and uncertainty/disturbance in NCSs, and discusses the introduction of communication protocols for energy saving purposes under scheduling protocols.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Computer Science, Artificial Intelligence
Maria del Carmen Rodriguez-Hernandez et al.
Summary: In the field of artificial intelligence, recommender systems, particularly in the area of machine learning, have been highly researched. These systems aim to combat information overload from the increasing volume of data in the Big Data era by offering personalized suggestions. With the rise of mobile computing, these systems have evolved to include the dynamic context of mobile users for more relevant recommendations.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Enyue Yang et al.
Summary: This paper proposes a novel federated matrix factorization algorithm for heterogeneous collaborative filtering, aiming to accurately estimate users' preferences while protecting their privacy. Empirical studies show that the algorithm performs equivalently to centralized methods in aggregating heterogeneous data.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Longzhang Ke et al.
Summary: This paper proposes a new fault diagnosis strategy based on SST and GA-DCNN, which calculates TFRs, optimizes key hyperparameters of DCNN, and uses batch normalization, dropout, and data augment technologies to prevent overfitting and improve model performance, achieving high diagnosis accuracy compared to traditional SVM and BP algorithms. The experimental results demonstrate the feasibility and applicability of the proposed fault diagnosis framework.
Article
Automation & Control Systems
Weibo Liu et al.
Summary: In this paper, a novel PSO algorithm is proposed with a sigmoid-function-based weighting strategy to adaptively adjust acceleration coefficients, enhancing the convergence rate by considering distances to global and personal best positions. The algorithm, inspired by neural networks, outperforms some popular PSO algorithms in improving the convergence rate according to comprehensive evaluation on benchmark functions.
IEEE TRANSACTIONS ON CYBERNETICS
(2021)
Article
Automation & Control Systems
Izaz Ur Rahman et al.
Summary: This study presents a novel N-state Markovian jumping PSO algorithm based on the evolution of states governed by a Markov chain, which outperforms some popular PSO algorithms in solving optimization problems.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Automation & Control Systems
Lei Zou et al.
Summary: This work surveys the control and filtering problems of networked systems under the effects induced by communication protocols, introducing the engineering background and theoretical frameworks. It reviews recent advances in stability analysis, control, and filtering problems subject to protocol scheduling, as well as provides a review of fault diagnosis problems and outlines research challenges for future work in communication-protocol-based control and filtering.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Automation & Control Systems
Kaiqun Zhu et al.
Summary: This paper addresses the l(2)-l(infinity) output-feedback control problem for a class of 2-D switched systems under the stochastic communication protocol, proposing a new SCP to tackle network-induced issues and designing a set of new mode-dependent output-feedback controllers. Using the average dwell-time approach, sufficient conditions are established to ensure the existence of controllers that guarantee both stability and performance metrics.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Computer Science, Artificial Intelligence
Nianyin Zeng et al.
Summary: The paper proposes a competitive mechanism integrated whale optimization algorithm (CMWOA) for multi-objective optimization problems. By introducing a novel competitive mechanism and improving the calculation of crowding distance, the convergence and accuracy of the algorithm are enhanced. Additionally, concatenating differential evolution (DE) into the population with different adjusting strategies for key parameters further improves the overall performance.
Review
Automation & Control Systems
Wenbin Yue et al.
Summary: RS is increasingly being used in healthcare to provide appropriate recommendations and assist individuals in making informed decisions about their health. Content-based, collaborative filtering, and hybrid methods are three popular recommendation techniques applied in areas such as diet, lifestyle, training, decision support, and disease prediction.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2021)
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INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2020)
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(2020)
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Xin Liu et al.
KNOWLEDGE-BASED SYSTEMS
(2020)
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Wei Qian et al.
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Yuan He et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2019)
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Michail Vlachos et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2019)
Article
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Weike Pan et al.
ACM TRANSACTIONS ON INFORMATION SYSTEMS
(2019)
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Yang Liu et al.
Article
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Yang Liu et al.
Article
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Faezeh Sadat Gohari et al.
INFORMATION SCIENCES
(2018)
Article
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Xin Luo et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2017)
Article
Computer Science, Artificial Intelligence
Nianyin Zeng et al.
COGNITIVE COMPUTATION
(2016)
Article
Clinical Neurology
Kathrin Reetz et al.
Article
Computer Science, Artificial Intelligence
Le Hoang Son
EXPERT SYSTEMS WITH APPLICATIONS
(2014)
Article
Computer Science, Artificial Intelligence
Cihan Kaleli
KNOWLEDGE-BASED SYSTEMS
(2014)
Article
Computer Science, Information Systems
Zibin Zheng et al.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2011)
Article
Computer Science, Information Systems
Hyung Jun Ahn
INFORMATION SCIENCES
(2008)
Article
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A Ratnaweera et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
(2004)
