ISA transactions最新文献_第10页

Peak-to-peak secure tracking control for distributed networked control systems under TOD protocol and deception attacks 基于TOD协议和欺骗攻击的分布式网络控制系统峰对峰安全跟踪控制。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2026-01-01 Epub Date: 2025-12-08 DOI: 10.1016/j.isatra.2025.12.002

Fang Zhao, Bo Wu, Xisheng Zhan, Liguang Wan

引用次数: 0

Distributed fixed-time fault-tolerant tracking and containment of second-order multi-agent systems 二阶多智能体系统的分布式固定时间容错跟踪与约束。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2026-01-01 Epub Date: 2025-11-15 DOI: 10.1016/j.isatra.2025.11.018

Chongyang Chen , Yanling Li , Song Zhu , Yiyan Han

引用次数: 0

Zero-sum game-based dynamic self-triggered sliding mode control for unknown nonlinear systems with asymmetric input constraints 输入约束不对称的未知非线性系统的零和博弈动态自触发滑模控制。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2026-01-01 Epub Date: 2025-11-10 DOI: 10.1016/j.isatra.2025.11.014

Ning Xu , Tengda Wang , Ben Niu , Guangdeng Zong , Xudong Zhao , Guangjing Song

{"title":"Zero-sum game-based dynamic self-triggered sliding mode control for unknown nonlinear systems with asymmetric input constraints","authors":"Ning Xu , Tengda Wang , Ben Niu , Guangdeng Zong , Xudong Zhao , Guangjing Song","doi":"10.1016/j.isatra.2025.11.014","DOIUrl":"10.1016/j.isatra.2025.11.014","url":null,"abstract":"<div><div>This article addresses a zero-sum game-based dynamic self-triggered sliding mode control problem for continuous-time unknown nonlinear systems with asymmetric input constraints using the adaptive dynamic programming method. First, a novel nonquadratic value function incorporating sliding mode variables is formulated to systematically convert the <span><math><mrow><msub><mi>H</mi><mi>∞</mi></msub></mrow></math></span> constrained control problem into an unconstrained zero-sum game problem. A data-driven method employing recurrent neural networks subsequently reconstructs the unknown system dynamics. Building upon this foundation, a novel dynamic self-triggered mechanism is designed, where triggering instants are adaptively determined through predictive computation involving current state information and time-decaying dynamic thresholds. To resolve the derived Hamilton-Jacobi-Isaacs equation, a streamlined single-critic neural architecture is proposed, eliminating the conventional actor-network dependency while preserving approximation accuracy. Through rigorous Lyapunov-based analysis, all closed-loop signals are theoretically guaranteed to achieve uniform ultimate boundedness. The designed control strategy is conclusively validated through comprehensive simulation studies implemented on a robotic arm system and a microgrid system, demonstrating excellent dynamic response characteristics.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"168 ","pages":"Pages 225-235"},"PeriodicalIF":6.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145566731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Multi-channel quantized output feedback fault-tolerant tracking control for electric vehicle lateral dynamics under sensor faults 传感器故障下电动汽车横向动力学的多通道量化输出反馈容错跟踪控制。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2026-01-01 Epub Date: 2025-11-13 DOI: 10.1016/j.isatra.2025.11.016

Ting-Ting Pan, Xiao-Heng Chang

{"title":"Multi-channel quantized output feedback fault-tolerant tracking control for electric vehicle lateral dynamics under sensor faults","authors":"Ting-Ting Pan, Xiao-Heng Chang","doi":"10.1016/j.isatra.2025.11.016","DOIUrl":"10.1016/j.isatra.2025.11.016","url":null,"abstract":"<div><div>This paper investigates the multi-channel quantized output feedback tracking control problem of the electric vehicles (EVs) lateral dynamics system under the influence of sensor faults. First, based on the nonlinear variations in longitudinal speed, mass, and moment of inertia about yaw axis, the EVs lateral dynamics system is modeled as a Takagi–Sugeno (T–S) fuzzy model with norm-bounded uncertain parameters. Meanwhile, considering the additive random sensor faults and the superimposed influence of multi-channel quantization, the non-fragile fuzzy observer and the resilient controller are designed, ensuring that the tracking error satisfies the <span><math><msub><mrow><mi>H</mi></mrow><mrow><mi>∞</mi></mrow></msub></math></span>-tracking performance and the control output satisfies the <span><math><msub><mrow><mi>L</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span>–<span><math><msub><mrow><mi>L</mi></mrow><mrow><mi>∞</mi></mrow></msub></math></span> performance. Finally, co-simulations in MATLAB/Simulink and CarSim validate the effectiveness of the proposed design under the road conditions with different friction coefficients and high-speed turning.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"168 ","pages":"Pages 257-269"},"PeriodicalIF":6.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145566673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Prescribed-time containment control with self-triggering mechanism for multi-UAVs 具有自触发机制的多无人机规定时间遏制控制。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2026-01-01 Epub Date: 2025-11-01 DOI: 10.1016/j.isatra.2025.10.054

An Zhang , Tianle Hou , Wenhao Bi , Zhanjun Huang , Qi Feng , Yanlong Han

{"title":"Prescribed-time containment control with self-triggering mechanism for multi-UAVs","authors":"An Zhang , Tianle Hou , Wenhao Bi , Zhanjun Huang , Qi Feng , Yanlong Han","doi":"10.1016/j.isatra.2025.10.054","DOIUrl":"10.1016/j.isatra.2025.10.054","url":null,"abstract":"<div><div>Multiple unmanned aerial vehicles (UAVs) systems can execute complex collective tasks and reduce the risk and operational difficulty of a single UAV. The prescribed-time self-triggering containment control for multiple UAVs with multiple leader UAVs is studied. The control objective is to drive all followers into the convex hull defined by leaders within an arbitrarily specified time via an asynchronous way of communication, while eliminating the need for continuous controller update and communication. Assuming that only a few followers can directly access the information of leaders, a distributed prescribed-time observer is presented to estimate the states of the convex hull within the prescribed time. By introducing auxiliary states, a prescribed-time containment controller is presented to guarantee that the tracking error between the state and convex hull converges to zero within the prescribed time. The developed self-triggering mechanism not only avoids continuous controller update and communication, but also allows for asynchronous communication. Moreover, the self-triggering mechanism removes the requirement for continuous monitoring of neighboring followers’ broadcasts. Rigorous theoretical analysis demonstrates that the presented method can achieve prescribed-time containment control without Zeno behavior. Simulation results indicate that the presented method achieves prescribed-time containment control while significantly reducing the communication frequency by <span><math><mn>94.86</mn><mspace></mspace></math></span>% and the controller update frequency by <span><math><mn>92.65</mn><mspace></mspace></math></span>%, respectively. Furthermore, hardware experiments verify the practicality of the proposed control algorithm.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"168 ","pages":"Pages 574-589"},"PeriodicalIF":6.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145566818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Event-triggered adaptive iterative learning prescribed performance control of high-order strict feedback nonlinear systems 高阶严格反馈非线性系统的事件触发自适应迭代学习规定性能控制。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2026-01-01 Epub Date: 2025-11-19 DOI: 10.1016/j.isatra.2025.11.028

Leyan Fang, Mingzhe Hou, Xindi Xu, Guangren Duan

{"title":"Event-triggered adaptive iterative learning prescribed performance control of high-order strict feedback nonlinear systems","authors":"Leyan Fang, Mingzhe Hou, Xindi Xu, Guangren Duan","doi":"10.1016/j.isatra.2025.11.028","DOIUrl":"10.1016/j.isatra.2025.11.028","url":null,"abstract":"<div><div>Most adaptive iterative learning control techniques involving variable constraints are primarily based on first-order system structures and neglect the impact of limited network communication resources. To address these limitations, this paper investigates the event-triggered adaptive iterative learning prescribed performance control (PPC) approach for a class of uncertain high-order strict feedback nonlinear systems. The considered systems contain linearly parameterized uncertainties in both the drift terms and the control coefficients. During each iteration, a preset error trajectory is constructed within the performance envelope to eliminate the limitation of initial conditions and the error of the actual tracking error relative to the preset one is kept small enough to realize the PPC. The detailed event-triggered adaptive iterative learning PPC algorithm is designed by treating every high-order subsystem as a whole and comprehensively utilizing the event-triggering mechanism, the nonlinear mapping technology and the dynamic surface control method. Moreover, an improved parameter estimation error reconstruction mechanism is given to modify the differential-difference adaptive laws and thus strengthen the parameter estimation performance, meanwhile the projection operator is employed to avoid the singularity problem of the control law. It is proved that the tracking error and <span><math><msub><mrow><mi>L</mi></mrow><mn>2</mn></msub></math></span> norms of the parameter estimation errors are uniformly ultimately bounded along the iteration-axis under the interval excitation condition and the tracking error satisfies the prescribed transient performance in each iteration. The obtained results are validated via simulations on a single-link flexible-joint robot.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"168 ","pages":"Pages 1-17"},"PeriodicalIF":6.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145644023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Sliding mode fault-tolerant control for manipulator based on predefined time extended state observers 基于时间扩展状态观测器的机械臂滑模容错控制。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2026-01-01 Epub Date: 2025-12-04 DOI: 10.1016/j.isatra.2025.11.044

Chunwu Yin, Zilan Zhao, Pei Yi

引用次数: 0

Event-triggered adaptive fuzzy trajectory tracking control of unmanned surface vehicle with time-varying output constraints and input quantization 具有时变输出约束和输入量化的事件触发自适应模糊轨迹跟踪控制。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2026-01-01 Epub Date: 2025-11-19 DOI: 10.1016/j.isatra.2025.11.030

Liangtao Jin , Jun Ning , Tieshan Li

{"title":"Event-triggered adaptive fuzzy trajectory tracking control of unmanned surface vehicle with time-varying output constraints and input quantization","authors":"Liangtao Jin , Jun Ning , Tieshan Li","doi":"10.1016/j.isatra.2025.11.030","DOIUrl":"10.1016/j.isatra.2025.11.030","url":null,"abstract":"<div><div>This paper proposes a novel event-triggered adaptive fuzzy control approach to tackle the trajectory tracking control problem of an unmanned surface vehicle (USV) under time-varying output constraints and input quantization effects. To address the challenges posed by model uncertainties, a fuzzy logic system (FLS) is employed for effective function approximation. An asymmetric Barrier Lyapunov Function (BLF) is incorporated into the controller to rigorously guarantee compliance with output constraints. Meanwhile, an event-triggered mechanism is developed to reduce communication overhead by avoiding unnecessary transmissions of control commands. To further reduce communication overhead, a uniform quantizer is adopted to manage input quantization, and a linear analytical model is introduced to characterize the input quantization process, thus facilitating controller design without requiring prior knowledge of quantizer parameters. The feasibility and effectiveness of the proposed control approach are demonstrated through rigorous stability analysis and comprehensive simulation studies, ensuring that the desired tracking accuracy is achieved.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"168 ","pages":"Pages 18-28"},"PeriodicalIF":6.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145608067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Prescribed performance collision-free control for bearing-constrained unmanned aerial vehicle 轴承约束无人机规定性能无碰撞控制。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2026-01-01 Epub Date: 2025-11-26 DOI: 10.1016/j.isatra.2025.11.037

Tao Zhang , Dengxiu Yu , Kang Hao Cheong , Zhen Wang

引用次数: 0

Interpretable fault diagnosis for variable-speed machinery via adaptive ridge extraction and causal learning 基于自适应脊提取和因果学习的变速机械可解释故障诊断。

IF 6.5 2区计算机科学

ISA transactions Pub Date : 2026-01-01 Epub Date: 2025-11-19 DOI: 10.1016/j.isatra.2025.11.032

Xuanshi Chen, Manyi Wang, Meijun Wang, Yilin Jiang

{"title":"Interpretable fault diagnosis for variable-speed machinery via adaptive ridge extraction and causal learning","authors":"Xuanshi Chen, Manyi Wang, Meijun Wang, Yilin Jiang","doi":"10.1016/j.isatra.2025.11.032","DOIUrl":"10.1016/j.isatra.2025.11.032","url":null,"abstract":"<div><div>In most industrial processes, rotating machinery often operates under time-varying speed conditions, making it difficult to extract fault-related features using conventional diagnostic techniques. To address this challenge, a novel diagnostic framework is developed that integrates high-resolution time-frequency analysis with interpretable causal learning. First, a synchrosqueezed continuous wavelet transform (SSQ-CWT) is employed to generate a clean time-frequency representation, upon which a specialized Adaptive Rotational Frequency Ridge Extraction (ARFRE) algorithm operates to accurately estimate the instantaneous speed without a tachometer. Subsequently, features extracted from the resulting order spectrum are screened by a Causal Forest to identify a subset with true causal impact on the fault state. Finally, an interpretable decision tree is constructed using this causally validated feature set. The framework was comprehensively validated on two public benchmarks (SQV, Ottawa) and a proprietary industrial dataset. The results demonstrate superior diagnostic performance, achieving accuracies of 98.49 %, 100.00 %, and 97.44 % respectively, and consistently outperforming baseline methods. This work presents a robust, interpretable, and tachometer-free solution for fault diagnosis in variable-speed machinery, with significant potential for practical industrial application.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"168 ","pages":"Pages 686-703"},"PeriodicalIF":6.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145644017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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