ISA transactions最新文献_第7页

Adaptive fuzzy dynamic event-triggered consensus of multi-agent systems under sensor attacks. 传感器攻击下多智能体系统的自适应模糊动态事件触发一致性。

IF 6.5

ISA transactions Pub Date : 2026-08-27 DOI: 10.1016/j.isatra.2026.08.026

Liting Lu, Yiru Tang, Zhi Lian, Mou Chen

{"title":"Adaptive fuzzy dynamic event-triggered consensus of multi-agent systems under sensor attacks.","authors":"Liting Lu, Yiru Tang, Zhi Lian, Mou Chen","doi":"10.1016/j.isatra.2026.08.026","DOIUrl":"https://doi.org/10.1016/j.isatra.2026.08.026","url":null,"abstract":"As information exchange among agents increases, multi-agent systems with limited communication and energy resources have become increasingly vulnerable to cyber threats, particularly sensor attacks that compromise data integrity and system stability. To address this challenge, this paper proposes a control framework for nonlinear multi-agent systems under sensor attacks, integrating adaptive fuzzy control with dynamic attack detection mechanism and dynamic event-triggered strategies. The proposed detection scheme uses only the local output errors of the agents without requiring knowledge of inter-agent static output mappings, thereby reducing implementation complexity. To achieve consensus tracking under attacks, an adaptive fuzzy consensus controller incorporating Nussbaum-type functions is developed within the backstepping framework to handle uncertain and time-varying output gains caused by attacks. Additionally, a dynamic event-triggered mechanism employing an auxiliary variable is proposed to significantly reduce communication overhead while preserving resilient consensus performance under sensor attacks. Rigorous theoretical analysis proves that all closed-loop signals remain bounded and consensus tracking is achieved despite the presence of attacks. Finally, simulation studies further demonstrate the proposed framework's effectiveness.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2026-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148868554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Structure-preserving constrained smoothing model for partial cross-domain fault diagnosis under time-varying conditions. 时变条件下局部跨域故障诊断的保结构约束平滑模型。

IF 6.5

ISA transactions Pub Date : 2026-08-26 DOI: 10.1016/j.isatra.2026.08.025

Hongdi Zhou, Yukun Jin, Bo Li, Xixing Li, Xiuqun Hou, Zhaoguang Zhang, Yijie Cai

引用次数: 0

Barrier function-based dynamic surface control with global stability guarantees: Theory and implementation. 具有全局稳定性保证的基于屏障函数的动态曲面控制：理论与实现。

IF 6.5

ISA transactions Pub Date : 2026-08-26 DOI: 10.1016/j.isatra.2026.08.024

Jie Zhang, Jiajun Wu, Linfeng Huang, Jie Tao, Yong-Hua Liu, Chun-Yi Su, Renquan Lu

{"title":"Barrier function-based dynamic surface control with global stability guarantees: Theory and implementation.","authors":"Jie Zhang, Jiajun Wu, Linfeng Huang, Jie Tao, Yong-Hua Liu, Chun-Yi Su, Renquan Lu","doi":"10.1016/j.isatra.2026.08.024","DOIUrl":"https://doi.org/10.1016/j.isatra.2026.08.024","url":null,"abstract":"Classical dynamic surface control (CDSC) is widely adopted to alleviate the complexity explosion inherent in integrator backstepping control (IBC), where each virtual control input is processed through a linear low-pass filter. Nevertheless, the introduction of such filters inevitably induces additional errors, which may compromise the global boundedness of the closed-loop system. This paper develops an improved dynamic surface control (DSC) framework for strict-feedback nonlinear systems (SFNSs) that rigorously guarantees global stability. In contrast to CDSC approaches, the proposed method replaces linear filters with barrier function-based nonlinear filters, which effectively mitigate the complexity issue while constraining the filtered errors. A salient feature of the proposed framework is its ability to ensure global uniform boundedness (GUB) of all closed-loop signals, whereas existing CDSC methods typically provide only semiglobal uniform boundedness (SGUB). Extensive simulation and experimental results demonstrate that the proposed approach achieves an average reduction of 57.15% in tracking error compared with CDSC and preserves accurate tracking performance even under a large filtering time constant (ψ=1), thereby highlighting its improved robustness and superior control performance.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2026-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148868623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fixed-time/predefined-time control for robotic systems with unknown system dynamics estimator. 具有未知系统动力学估计量的机器人系统的定时/预定义时间控制。

IF 6.5

ISA transactions Pub Date : 2026-08-25 DOI: 10.1016/j.isatra.2026.08.023

Siyan Li, Yashan Xing, Min Wang, Jing Na

引用次数: 0

A boundary-curve-based discrete tracking differentiator with phase compensation and its application for intake pressure control in high-altitude testing systems. 基于边界曲线的相位补偿离散跟踪微分器及其在高空测试系统进气压力控制中的应用。

IF 6.5

ISA transactions Pub Date : 2026-08-22 DOI: 10.1016/j.isatra.2026.08.021

Zhuang Xu, Bo Feng, Hongyu Lin, Yunde Xie, Hehong Zhang, Zhiqiang Long

{"title":"A boundary-curve-based discrete tracking differentiator with phase compensation and its application for intake pressure control in high-altitude testing systems.","authors":"Zhuang Xu, Bo Feng, Hongyu Lin, Yunde Xie, Hehong Zhang, Zhiqiang Long","doi":"10.1016/j.isatra.2026.08.021","DOIUrl":"https://doi.org/10.1016/j.isatra.2026.08.021","url":null,"abstract":"Reliable pressure signal filtering and differentiation in high-altitude testing systems are challenging because of rapid signal variations, wide bandwidth, and strong measurement noise. This work proposes a boundary-curve-based discrete optimal tracking differentiator (TD) with phase compensation to improve pressure signal processing and control performance. A novel second-order discrete optimal control composite function (Fqr) is constructed using boundary and control characteristic curves, avoiding the complex square-root operations of the classical Han's TD (Fhan-TD). A prediction compensation scheme is further introduced to improve the phase quality of Fqr-TD. Simulation results under signal-to-noise ratios (SNRs) of 20-50 dB show that Fqr-TD reduces the tracking filtering error by about 25%-26% and the differentiation error by about 31%-32% compared with Fhan-TD. Experimental results show that the proposed TD-based active disturbance rejection control (ADRC) achieves a steady-state pressure error below 0.1 kPa, limits the maximum transient pressure fluctuation to 0.8 kPa, shortens the response time to 4.0 s, and reduces valve oscillation from ±5.0∘ to within ±0.4∘, demonstrating its effectiveness for intake pressure control in high-altitude testing systems.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2026-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148835172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Coordinated longitudinal-lateral control for truck platooning: Minimizing fuel consumption and NO_x emissions. 卡车队列的纵向-横向协调控制：最大限度地减少燃料消耗和氮氧化物排放。

IF 6.5

ISA transactions Pub Date : 2026-08-22 DOI: 10.1016/j.isatra.2026.08.020

Luo Jiang, Mahdi Shahbakhti

引用次数: 0

Conditional length strategy based iterative learning control for locally lipschitz nonlinear systems with an adaptive observer. 具有自适应观测器的局部lipschitz非线性系统的条件长度策略迭代学习控制。

IF 6.5

ISA transactions Pub Date : 2026-08-21 DOI: 10.1016/j.isatra.2026.08.019

Zihao Wang, Yang Gu, Zhihao Zhang, Wen Qin, Mouquan Shen

引用次数: 0

Event-triggered adaptive predefined-time consensus for multi-agent systems under switching topologies. 交换拓扑下多智能体系统的事件触发自适应预定义时间一致性。

IF 6.5

ISA transactions Pub Date : 2026-08-20 DOI: 10.1016/j.isatra.2026.08.015

Zhiheng Dong, Shuang Shi, Quan Ouyang, Ju Jiang

引用次数: 0

Fixed time sliding mode fuzzy control for intra and extra synchronism of multiplex fuzzy CCANNs and application in secure communication. 多路模糊ccann内同步和外同步的定时滑模模糊控制及其在保密通信中的应用。

IF 6.5

ISA transactions Pub Date : 2026-08-12 DOI: 10.1016/j.isatra.2026.08.006

Fei Tan, Junru Li, Lili Zhou, Zhen Wang

引用次数: 0

MS-DDGformer: A multi-scale synergized dual-driven graph transformer for industrial process fault diagnosis. MS-DDGformer：一种用于工业过程故障诊断的多尺度协同双驱动图形变压器。

IF 6.5

ISA transactions Pub Date : 2026-05-19 DOI: 10.1016/j.isatra.2026.05.025

Dazi Li, Xiyao Zhu, Yurui Zhu, Hamid Reza Karimi

{"title":"MS-DDGformer: A multi-scale synergized dual-driven graph transformer for industrial process fault diagnosis.","authors":"Dazi Li, Xiyao Zhu, Yurui Zhu, Hamid Reza Karimi","doi":"10.1016/j.isatra.2026.05.025","DOIUrl":"https://doi.org/10.1016/j.isatra.2026.05.025","url":null,"abstract":"Fault diagnosis in modern industrial systems is challenged by complex failures that require sophisticated spatio-temporal modeling. Although Graph Transformers (GTs) show promise, existing models often lack effective architectural coupling or are tuned for non-industrial tasks. They struggle with nonstationary process dynamics and fail to jointly model temporal dependencies and static topology. To overcome these issues, a Multi-Scale Synergized Dual-Driven Graph Transformer (MS-DDGformer) is proposed. Its core is a dual-driven backbone network that deeply fuses structural and temporal information through alternating G-Blocks and T-Blocks. The backbone is complemented by a parallel synergistic spatio-temporal branch comprising (i) a temporal-driven branch with an attention-guided edge adaptation mechanism to promote information flow and (ii) a structure-driven branch that preserves important structural features to avoid over-globalization. A multi-scale fusion module performs weighted integration of the backbone and branch outputs to enable a comprehensive representation. Moreover, a graph construction method combining k-nearest neighbors (KNN) with random walk encoding is designed to better model latent variable relationships. Experiments on three industrial cases validate that MS-DDGformer achieves superior performance over competing GNN-based, temporal, and GT models.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2026-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148893083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0