ISA transactions最新文献_第2页

Saliency-aware heterogeneous independence decoupling network for mechanical transfer fault diagnosis under unseen target conditions. 未知目标条件下机械传递故障诊断的显著性感知异构独立解耦网络。

IF 6.5

ISA transactions Pub Date : 2026-08-22 DOI: 10.1016/j.isatra.2026.08.016

Jie Zhang, Yufan Lv, Haiqiang Wang, Junhui Qi, Hui Liu, Fulei Chu, Yun Kong

{"title":"Saliency-aware heterogeneous independence decoupling network for mechanical transfer fault diagnosis under unseen target conditions.","authors":"Jie Zhang, Yufan Lv, Haiqiang Wang, Junhui Qi, Hui Liu, Fulei Chu, Yun Kong","doi":"10.1016/j.isatra.2026.08.016","DOIUrl":"https://doi.org/10.1016/j.isatra.2026.08.016","url":null,"abstract":"To mitigate the degradation in transfer diagnostic performance caused by unseen target domains in complex industrial scenarios, a novel saliency-aware heterogeneous independence decoupling network (SA-HIDN) is proposed for mechanical transfer fault diagnosis. Initially, a heterogeneous decoupled feature extractor is constructed to align the network capacity with the distinct physical attributes of signal components. It employs a deep branch with deep resonance shrinkage to perform soft-thresholding denoising for domain-invariant fault impulses, and a shallow branch with a statistical feature layer to explicitly capture global statistical moments as domain-specific condition features. Subsequently, a statistical independence constraint based on the Hilbert-Schmidt Independence Criterion (HSIC) is introduced to mathematically force the fault and condition subspaces to be independent in the reproducing kernel Hilbert space, effectively suppressing high-order information leakage between decoupled branches. Finally, a saliency-aware adaptive fusion (SAAF) module is developed to proactively protect subtle fault signatures and achieve high-fidelity feature reconstruction through a saliency-masking compensation mechanism. Extensive experiments on planetary transmission and train transmission system datasets demonstrate that the proposed SA-HIDN achieves transfer diagnostic accuracies of 98.13% and 94.48% on two datasets, respectively. These quantitative results and mechanistic analyses confirm that the proposed method significantly outperforms state-of-the-art methods while maintaining a favorable balance between diagnostic precision and computational cost.","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":"148815283","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

Event-triggered intermittent boundary stabilization of nonlinear traffic density waves governed by diffusion-dispersion PDEs. 由扩散-色散偏微分方程控制的非线性交通密度波的事件触发间歇边界稳定。

IF 6.5

ISA transactions Pub Date : 2026-08-20 DOI: 10.1016/j.isatra.2026.08.018

Shuang Liang, Hongyan Guo, Kai-Ning Wu, Boualem Djehiche, Dongpu Cao, Hong Chen

引用次数: 0

Fast terminal conditions-free model predictive control and its application to intelligent autonomous vehicles. 快速终端无条件模型预测控制及其在智能自动驾驶汽车中的应用。

IF 6.5

ISA transactions Pub Date : 2026-08-19 DOI: 10.1016/j.isatra.2026.08.014

Qianwen Wang, Hai Zhao, Shaomeng Gu, Ji Sun, Siyi Wei

引用次数: 0

Fast disturbance rejection for inertial stabilization platforms based on a nonlinear adaptive sliding-mode-assisted disturbance observer. 基于非线性自适应滑模辅助扰动观测器的惯性稳定平台快速抗干扰。

IF 6.5

ISA transactions Pub Date : 2026-08-18 DOI: 10.1016/j.isatra.2026.08.017

Zhishu Wang, Yutang Wang, Rui Xu, Junze Tong, Dapeng Tian

{"title":"Fast disturbance rejection for inertial stabilization platforms based on a nonlinear adaptive sliding-mode-assisted disturbance observer.","authors":"Zhishu Wang, Yutang Wang, Rui Xu, Junze Tong, Dapeng Tian","doi":"10.1016/j.isatra.2026.08.017","DOIUrl":"https://doi.org/10.1016/j.isatra.2026.08.017","url":null,"abstract":"The inherent dynamic mechanism of existing disturbance observer (DOB)-based methods usually leads to non-negligible transient residual errors when abrupt and fast-varying disturbances occur. In particular, the insufficiently fast suppression of DOB residual effects remains a key issue in inertial stabilization platforms under abrupt disturbances. To address this issue, this paper proposes a nonlinear adaptive sliding-mode-assisted disturbance observer (NASMADO) for abrupt-disturbance rejection in inertial stabilization platforms. In the proposed framework, a tracking-differentiator-based disturbance observer is used to estimate the dominant lumped disturbance, while an adaptive sliding-mode-assisted term is introduced to compensate for the residual estimation error of the observer. A specially designed adaptive law enables the switching gain to increase rapidly in response to abrupt residual variations without requiring prior knowledge of the disturbance bound. Lyapunov-based stability analysis is conducted to verify the stability of the proposed method. Comparative experiments on an inertial stabilization platform demonstrate that the proposed NASMADO provides stronger abrupt-disturbance rejection and better transient performance than conventional DOB- and ASMDO-based anti-disturbance methods.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2026-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148803687","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

Network-based event-triggered security control for cascade switched systems under hybrid attacks. 混合攻击下基于网络的级联交换系统事件触发安全控制。

IF 6.5

ISA transactions Pub Date : 2026-08-17 DOI: 10.1016/j.isatra.2026.08.012

Hangli Ren, Yuanyuan Cheng, Hui Shang

{"title":"Network-based event-triggered security control for cascade switched systems under hybrid attacks.","authors":"Hangli Ren, Yuanyuan Cheng, Hui Shang","doi":"10.1016/j.isatra.2026.08.012","DOIUrl":"https://doi.org/10.1016/j.isatra.2026.08.012","url":null,"abstract":"This paper presents a resilient control framework for networked cascade systems (NCCSs) subject to transmission delays and hybrid cyber-attacks involving false data injection (FDI) and Denial-of-Service (DoS) attacks. The hybrid attack model is defined by the asynchronous operation of these two threats: DoS attacks disrupt data availability by blocking the communication channel, while FDI attacks compromise data integrity by injecting false signals during the DoS dormant periods. Accordingly, an event-triggered mechanism and a neural network-based estimator are co-designed to reduce the network transmission burden and identify and compensate for unstructured FDI attack signals. The closed-loop system is modeled as a switched system, and sufficient stability conditions under hybrid attacks are derived through a Lyapunov-based neural network approach to facilitate the design of an H∞ controller with guaranteed robust performance. Simulations on a steam temperature cascade control system validate the effectiveness of the proposed method, demonstrating 20% faster convergence and a 67% reduction in oscillations compared with a conventional method while maintaining stability and security under hybrid attacks.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2026-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148803717","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

Physics-model-guided frequency spectrum dynamic aggregation network for gearbox signal denoising under multi-source disturbances. 多源干扰下齿轮箱信号去噪的物理模型引导频谱动态聚合网络。

IF 6.5

ISA transactions Pub Date : 2026-08-17 DOI: 10.1016/j.isatra.2026.08.013

Caizi Fan, Hui Ma, Yongchao Zhang, Zimeng Liu, Chao Zhao, Ke Feng, Zhijun Li

{"title":"Physics-model-guided frequency spectrum dynamic aggregation network for gearbox signal denoising under multi-source disturbances.","authors":"Caizi Fan, Hui Ma, Yongchao Zhang, Zimeng Liu, Chao Zhao, Ke Feng, Zhijun Li","doi":"10.1016/j.isatra.2026.08.013","DOIUrl":"https://doi.org/10.1016/j.isatra.2026.08.013","url":null,"abstract":"As a critical component of rotating machinery, the stable operation of gearboxes is essential to industrial systems. In practice, complex operating conditions cause fault-related features to be heavily obscured by noise, posing significant challenges for fault diagnosis. Most denoising tasks assume that experimental signals are noise-free and use Gaussian white noise to simulate noise interference. However, this overlooks the fact that acquired signals are already affected by various coupled disturbances and inherently contain a certain level of noise. To address this issue, a physics-model-guided denoising method for gearbox signals is proposed. First, a dynamic gear transmission model is established to generate noise-free reference signals under ideal conditions, and its key parameters are optimized using the grey wolf optimization algorithm to reduce discrepancies with the real signal. Subsequently, a novel deep denoising network is developed, in which a frequency spectrum dynamic aggregation mechanism adaptively aggregates spectral features to emphasize informative frequency components while suppressing interference from spurious frequencies. Additionally, an adaptive hybrid loss function integrating time-domain, frequency-domain, and phase information is designed to enhance robustness against diverse noise types. The proposed method is validated on a gearbox dataset. Experimental results show that it outperforms other models on most evaluation metrics. Even under severe noise-coupling conditions, the average RMSE of the denoised signals is maintained at 0.0498. In fault diagnosis experiments, the proposed method achieves an average accuracy of 97.65%, which is approximately 3.5% higher than that of other U-Net-based denoising approaches.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2026-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148803813","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

Aquila optimizer β-variable model-free adaptive fractional-order sliding-mode control for wheel slippage prevention in omnidirectional mobile robots. Aquila优化器-变量无模型自适应分数阶滑模控制全向移动机器人车轮防滑。

IF 6.5

ISA transactions Pub Date : 2026-08-16 DOI: 10.1016/j.isatra.2026.08.011

Amar Mubarak, Haoping Wang, Omer Abbaker Ahmed Mohammed, Modawy Adam Ali Abdalla, Abubaker Ahmed

{"title":"Aquila optimizer β-variable model-free adaptive fractional-order sliding-mode control for wheel slippage prevention in omnidirectional mobile robots.","authors":"Amar Mubarak, Haoping Wang, Omer Abbaker Ahmed Mohammed, Modawy Adam Ali Abdalla, Abubaker Ahmed","doi":"10.1016/j.isatra.2026.08.011","DOIUrl":"https://doi.org/10.1016/j.isatra.2026.08.011","url":null,"abstract":"Three-wheeled omnidirectional mobile robots (TWOMRs) are vital in firefighting owing to their maneuverability, but they struggle with wheel slip and instability on low-traction surfaces because of nonlinear traction dynamics. Therefore, this paper proposes an Aquila Optimizer β-variable model-free adaptive barrier-function fractional-order nonlinear sliding-mode control (AO-β(t)-MF-ABFFONSMC) strategy to achieve precise motion and mitigate slip. The framework integrates a sliding-mode disturbance observer, a model-free framework, an intelligent proportional-differential controller, and adaptive barrier-function fractional-order nonlinear sliding-mode control, while the Aquila Optimizer is used to optimize control parameters; this combination actively compensates for disturbances and estimation errors while minimizing chattering in TWOMRs. Simulation results show that the proposed controller outperforms others, providing robust, precise tracking and improved handling of slip and vibration in TWOMR across varying traction conditions.","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2026-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148803694","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