IEEE Transactions on Systems Man Cybernetics-Systems最新文献_第7页

IEEE Systems, Man, and Cybernetics Society Information IEEE系统、人与控制论学会信息

IF 8.6 1区计算机科学

IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-07-18 DOI: 10.1109/TSMC.2025.3584494

引用次数: 0

IEEE Transactions on Systems, Man, and Cybernetics: Systems Information for Authors IEEE系统、人与控制论汇刊：作者的系统信息

IF 8.6 1区计算机科学

IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-07-18 DOI: 10.1109/TSMC.2025.3584576

引用次数: 0

Neural Networks-Incorporated Latent Factor Analysis for High-Dimensional and Incomplete Data 基于神经网络的高维不完全数据潜在因素分析

IF 8.7 1区计算机科学

IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-07-16 DOI: 10.1109/TSMC.2025.3583919

Mingwei Lin;Xingyu Lin;Xiuqin Xu;Zeshui Xu;Xin Luo

{"title":"Neural Networks-Incorporated Latent Factor Analysis for High-Dimensional and Incomplete Data","authors":"Mingwei Lin;Xingyu Lin;Xiuqin Xu;Zeshui Xu;Xin Luo","doi":"10.1109/TSMC.2025.3583919","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3583919","url":null,"abstract":"high-dimensional and incomplete (HDI) matrices are commonly encountered in a variety of big data-related industrial applications, which describe complex interactions between entities. The complete interaction relationship in the HDI matrix is essential to deal with various problems such as pattern recognition in industrial applications. Therefore, estimating the missing data in the HDI matrix is crucial. latent factor analysis (LFA) models have achieved advanced results in solving such problems. However, the existing LFA models cannot model the nonlinear structure hidden in the HDI matrix. neural networks (NNs) can handle the nonlinearity in the HDI data, but their high estimation accuracy relies on high computation cost and storage burden. To address the aforementioned problems, this article proposes a novel NNLFA model. It contains the following primary ideas: 1) it can model the nonlinear structure of the HDI matrix efficiently through NNs and 2) it incorporates the NNs into the LFA model to improve estimation accuracy while maintaining high computational and storage efficiency. To validate the superiority of the NNLFA model, experiments with six state-of-the-art models are conducted on six practical industrial application datasets. The experimental results indicate that the NNLFA model enhances estimation accuracy by up to 33.3%. In addition, NNLFA model shows strong competitiveness in terms of both time and storage efficiency when compared to baseline models.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 10","pages":"7302-7314"},"PeriodicalIF":8.7,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145090075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive Event-Triggered Optimal Control With Regulative Learning Rate Under Aperiodic DoS Attacks 非周期DoS攻击下具有调节学习率的自适应事件触发最优控制

IF 8.7 1区计算机科学

IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-07-16 DOI: 10.1109/TSMC.2025.3583832

Chushu Yi;Yongqing Yang;Jinde Cao

{"title":"Adaptive Event-Triggered Optimal Control With Regulative Learning Rate Under Aperiodic DoS Attacks","authors":"Chushu Yi;Yongqing Yang;Jinde Cao","doi":"10.1109/TSMC.2025.3583832","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3583832","url":null,"abstract":"In this article, the optimal control for a nonlinear affine system under aperiodic Denial-of-service (DoS) attacks is investigated. To solve the Hamilton–Jacobi–Bellman (HJB) equation, an adaptive dynamic programming (ADP) algorithm based on a single critic network is developed. The proposed regulative learning rate strategy outperforms traditional fixed-rate gradient descent approaches found in existing works. With the objective of minimizing the performance index, the optimal value function and the optimal controller are derived from the approximate solution of the HJB equation. To alleviate the resource demand and enhance the flexibility of the threshold function, an adaptive event-triggered (AET) scheme integrating the idea of sampling control and event-triggered strategy is applied to the optimal control initially. Compared with the static event-triggered strategy, the AET method contains increasing engineering value. A piecewise Lyapunov function is constructed based on optimal value function, estimated error introduced by neural network (NN) weight, and the classic Lyapunov-Krasovskii function. Thus, uniform ultimate boundedness for tracking error is proven theoretically. Moreover, the maximum tolerable strength of cyberattacks is provided from the stability analysis. The simulation results exhibit the designed approach’s reliability.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 10","pages":"7024-7036"},"PeriodicalIF":8.7,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145100440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive Robust Motion Control for Hydraulic Actuators With an Adjustable Event Trigger 带有可调事件触发器的液压执行器的自适应鲁棒运动控制

IF 8.7 1区计算机科学

IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-07-15 DOI: 10.1109/TSMC.2025.3581240

Jixiang Chen;Zhongyang Fei;Litong Lyu;Weiguo Xia;Xi-Ming Sun

{"title":"Adaptive Robust Motion Control for Hydraulic Actuators With an Adjustable Event Trigger","authors":"Jixiang Chen;Zhongyang Fei;Litong Lyu;Weiguo Xia;Xi-Ming Sun","doi":"10.1109/TSMC.2025.3581240","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3581240","url":null,"abstract":"This article investigates the event-triggered adaptive robust motion control for hydraulic actuators with parametric uncertainties and system nonlinearities. Under the continuous communication condition, the traditional adaptive robust motion controller is recursively presented. In order to reduce the unnecessary bandwidth consumption in the aero-engine networked control platform, an adaptive threshold triggered mechanism according to network resources is developed to synthesize the motion controller. Adjustable threshold parameters are involved to flexibly adjust the data transmission times depending on the network bandwidth occupation. It is proved that with the motion controller and the proposed adjustable threshold triggered mechanism, all the closed-loop system signals are globally bounded, and the hydraulic system output achieves asymptotic tracking to the reference trajectory by virtue of the adaptive technique, the Nussbaum-type and sign functions. Besides, the Zeno behavior is excluded, successfully. Finally, the proposed event-based control scheme is tested and discussed on the aero-engine hardware-in-the-loop (HIL) experiment platform with hydraulic actuators.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 10","pages":"7205-7214"},"PeriodicalIF":8.7,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145100434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Smoothing and Matrix Decomposition-Based Stacked Bidirectional GRU Model for Machine Downtime Forecasting 基于平滑和矩阵分解的堆叠双向GRU模型用于机器停机时间预测

IF 8.7 1区计算机科学

IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-07-15 DOI: 10.1109/TSMC.2025.3582768

Waqar Ahmed Khan;Sai-Ho Chung;Shi Qiang Liu;Mahmoud Masoud;Xin Wen

{"title":"Smoothing and Matrix Decomposition-Based Stacked Bidirectional GRU Model for Machine Downtime Forecasting","authors":"Waqar Ahmed Khan;Sai-Ho Chung;Shi Qiang Liu;Mahmoud Masoud;Xin Wen","doi":"10.1109/TSMC.2025.3582768","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3582768","url":null,"abstract":"The machine downtime occurring during routine production (MDT_RP) because of recessive disturbances (RecDs) can cause huge economic losses and slow down production. In modern industries, condition monitoring, prognosis, and maintenance policies are widely applied to minimize machine failures caused by dominant disturbances (DomDs). However, MDT_RP, because of RecD, has rarely been explored. RecD multivariate time series data faces the challenge of changing information with many noisy and abnormal data points, making it difficult for sequential methods (SMs) to forecast MDT_RP accurately. To address this gap, a novel smoothing and matrix decomposition (MD) based stacked bidirectional gated recurrent unit (STMD_SBiGRU) is proposed for MDT_RP forecasting. Existing SMs have disadvantages in that they are highly affected by noisy data, which significantly affects their feature information extraction capability. The generated error gets amplified during forward propagation, thus interfering with the parameter’s optimization. The proposed STMD_SBiGRU has the advantage of capturing the maximum variance in the dataset by using various MD methods, as well as reducing abnormalities by applying various smoothing factors. This dual innovation of integrating MD and smoothing facilitates the effective distribution of parameters across multiple stacked layers and directions in a proposed model, thus avoiding complexity and overfitting problems of conventional SMs while improving network generalization performance. The extensive experimental work demonstrates that STMD_SBiGRU can forecast MDT_RP with better performance and is highly robust to noisy data compared to other data-driven methods.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 10","pages":"7215-7227"},"PeriodicalIF":8.7,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145100435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic Event-Triggered Quantized Control for Switched Systems Under DoS Attacks: A Min-Derivative Switching Strategy DoS攻击下切换系统的动态事件触发量化控制：最小导数切换策略

IF 8.7 1区计算机科学

IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-07-15 DOI: 10.1109/TSMC.2025.3584062

Hanqing Qu;Bo-Chao Zheng;Jiasheng Shi

{"title":"Dynamic Event-Triggered Quantized Control for Switched Systems Under DoS Attacks: A Min-Derivative Switching Strategy","authors":"Hanqing Qu;Bo-Chao Zheng;Jiasheng Shi","doi":"10.1109/TSMC.2025.3584062","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3584062","url":null,"abstract":"This article studies the <inline-formula> <tex-math>$H_{infty }$ </tex-math></inline-formula> control problem for switched systems with dynamic event-triggering and quantization schemes subject to denial-of-service (DoS) attacks. First, the resilient event-triggering and quantization schemes against DoS are developed, allowing the triggering parameter and quantization density to be dynamically adjusted. Subsequently, we introduce a time-dependent piecewise Lyapunov function that remains nonincreasing at discontinuity points. This function, along with an auxiliary functional, is dedicated to establishing criteria for the stability with <inline-formula> <tex-math>$L_{2}$ </tex-math></inline-formula> gain property of switched systems, under which the frequency of DoS attacks no longer directly impacts the exponential stability decay rate. In contrast to the general min-switching rule, the min-derivative switching strategy in this article is formulated based on the derivative of Lyapunov function and serves to make the time-dependent Lyapunov function decrease. Moreover, the switching law ensures that switches occur only at discrete sampling instants, thereby avoiding Zeno behavior. Finally, two simulation examples are provided to illustrate the feasibility and superiority of our approaches.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 10","pages":"7425-7436"},"PeriodicalIF":8.7,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145090163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prospect Theory-Based Portfolio Selection Using Multiple Fuzzy Reference Intervals 基于前景理论的多模糊参考区间投资组合选择

IF 8.7 1区计算机科学

IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-07-14 DOI: 10.1109/TSMC.2025.3578997

Xianhe Wang;Bo Wang;Long Teng;Yaoxin Wu

引用次数: 0

Knowledge-Guided Multiview Hierarchical Evolutionary Algorithm for Flexible Job Shop Scheduling With Finite Skilled Workers 有限熟练工人柔性作业车间调度的知识引导多视图分层进化算法

IF 8.7 1区计算机科学

IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-07-14 DOI: 10.1109/TSMC.2025.3583207

Rui Li;Ling Wang;Hongyan Sang;Lizhong Yao

{"title":"Knowledge-Guided Multiview Hierarchical Evolutionary Algorithm for Flexible Job Shop Scheduling With Finite Skilled Workers","authors":"Rui Li;Ling Wang;Hongyan Sang;Lizhong Yao","doi":"10.1109/TSMC.2025.3583207","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3583207","url":null,"abstract":"This work addresses the flexible job shop scheduling with finite skilled workers, extending classical flexible job shop scheduling by incorporating operation decomposition, finite worker, and worker transfer. These new problem features significantly increase the complexity of solving, as several operations requiring multiple workers can lead to worker competition, causing delays in other operations that depend on the same workers. Previous studies focused on either operation decomposition or worker transfer but did not address the issue of worker competition. To tackle this challenging optimization problem, we propose a knowledge-guided hierarchical evolutionary algorithm (KHEA) with multiview cooperative neighborhood search. The key contributions of this work are as follows: 1) a hierarchical solving framework is proposed to reduce the solving difficulty. This problem is decomposed into three levels. The first level ignores the worker assignment and the second level starts optimizing it. The final level then refines the global solution; 2) a knowledge-guided crossover operator with a feedback schema is designed to improve the efficiency of crossover operations; and 3) a multiview cooperative neighborhood search strategy is proposed to reduce the idle time caused by worker competition. This involves designing a new disjunctive graph that accounts for worker competition to identify the critical path. The information from both machine-view and worker-view Gantt charts is cooperatively utilized to minimize idle time. Our method, KHEA, was tested on two benchmarks across 28 instances and 16 large-scale instances, with equal running time for comparisons. Compared to state-of-the-arts, KHEA obtains significant superiority.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 10","pages":"7259-7272"},"PeriodicalIF":8.7,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145100503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Surrogate-Assisted Differential Evolution With Search Space Tightening for High-Dimensional Expensive Optimization Problems 搜索空间收紧的高维昂贵优化问题的代理辅助差分进化

IF 8.7 1区计算机科学

IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-07-14 DOI: 10.1109/TSMC.2025.3582897

Rongfeng Zhou;Chongle Ren;Zhenyu Meng;Haibin Zhu

{"title":"Surrogate-Assisted Differential Evolution With Search Space Tightening for High-Dimensional Expensive Optimization Problems","authors":"Rongfeng Zhou;Chongle Ren;Zhenyu Meng;Haibin Zhu","doi":"10.1109/TSMC.2025.3582897","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3582897","url":null,"abstract":"High-dimensional expensive optimization problems (HEOPs) have posed significant challenges to current surrogate-assisted differential evolution algorithms (SADEs) because of the curse of dimensionality. To enhance the optimization efficiency and solution accuracy for HEOPs, Surrogate-assisted differential evolution with search space tightening (SADE-SS) is proposed in this article. There are three main contributions in SADE-SS: first, a novel parameter adaptation strategy is incorporated into the framework of SADE to improve its scalability by leveraging information from approximated fitness values. Second, a search space tightening strategy is proposed to strengthen the local exploitation capacity by identifying promising local search spaces. Third, a switching strategy is proposed to manage the global and local surrogate-assisted searches, aiming to balance exploration and exploitation capacities. Experiments on expensive benchmark functions with dimensions ranging from 30 to 400 were conducted to verify the effectiveness of SADE-SS for HEOPs. Moreover, ablation experiments were conducted to validate each proposed component. Comprehensive experimental results demonstrate that SADE-SS can secure highly competitive performance over state-of-the-art SAEAs for HEOPs.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 10","pages":"7356-7368"},"PeriodicalIF":8.7,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145089946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0