ISA transactionsPub Date : 2025-04-01DOI: 10.1016/j.isatra.2025.01.039
Qiang Qi , Chi Peng , Hanwen Zhang , Xiangwei Bu , Jianjun Ma
{"title":"Robust nonlinear predefined-time cooperative line-of-sight guidance law for active defense in three-body confrontation","authors":"Qiang Qi , Chi Peng , Hanwen Zhang , Xiangwei Bu , Jianjun Ma","doi":"10.1016/j.isatra.2025.01.039","DOIUrl":"10.1016/j.isatra.2025.01.039","url":null,"abstract":"<div><div>Conventional active guidance laws can achieve asymptotic or finite-time convergence of the line-of-sight (LOS) angle error. However, the convergence time is relatively conservative. In this article, we propose predefined-time (PT) sliding-mode (SM) convergence active defense guidance laws. Firstly, the proposed guidance law is designed based on a nonlinear LOS guidance framework, eliminating the assumption of small flight-path angles. Then, robust PT control theory is employed to achieve PT convergence of the SM surface. Moreover, two levels of cooperation between the target and the defender are introduced to enhance guidance performance. To minimize maximum overload, static optimization is incorporated in two-way cooperation by a performance index. The obtained guidance law does not require an observer or time-to-go estimation as compared to previous work. Additionally, our method can be applied not only in planar plane but also extended directly to three-dimensional geometry. Finally, we validate the effectiveness of our proposed strategies through comparative simulations.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"159 ","pages":"Pages 181-190"},"PeriodicalIF":6.3,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143434468","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}
ISA transactionsPub Date : 2025-04-01DOI: 10.1016/j.isatra.2025.01.040
Xiaowei Yu , Xiaoli Li
{"title":"Adaptive output feedback control for uncertain nonlinear systems with quantized input and output","authors":"Xiaowei Yu , Xiaoli Li","doi":"10.1016/j.isatra.2025.01.040","DOIUrl":"10.1016/j.isatra.2025.01.040","url":null,"abstract":"<div><div>In this paper, an adaptive stabilization control scheme is developed for uncertain nonlinear systems with both quantized input and output. Initially, a finite-time filter is introduced and applied to the discontinuous quantized output. It is shown that the output of the finite-time filter, named filtered quantized output, is continuous and adheres to the sector bound property. Subsequently, an observer is constructed to estimate unmeasurable states, followed by the design of a control scheme utilizing dynamic surface control technique, so as to avoid repeated derivatives of the filtered quantized output. Finally, it is demonstrated by theoretical analysis and simulation results that, even with coarse input and output quantizers, the stabilization error can be driven to a small residual set by adjusting certain design parameters.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"159 ","pages":"Pages 226-235"},"PeriodicalIF":6.3,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143367079","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}
ISA transactionsPub Date : 2025-04-01DOI: 10.1016/j.isatra.2025.01.042
Yukun Tao , Chun Ge , Han Feng , Hongtao Xue , Mingyu Yao , Haihong Tang , Zhiqiang Liao , Peng Chen
{"title":"A novel approach for adaptively separating and extracting compound fault features of the in-wheel motor bearing","authors":"Yukun Tao , Chun Ge , Han Feng , Hongtao Xue , Mingyu Yao , Haihong Tang , Zhiqiang Liao , Peng Chen","doi":"10.1016/j.isatra.2025.01.042","DOIUrl":"10.1016/j.isatra.2025.01.042","url":null,"abstract":"<div><div>For compound fault detection of in-wheel motor bearings, this paper proposes a novel approach to adaptively separate multi-source signals and extract compound fault features. Building upon blind source separation (BSS), this approach integrates blind deconvolution to address the challenge of extracting weak features. To resolve the undetermined condition of BSS and enhance feature expression, an adaptive signal reconstruction strategy based on local mean decomposition is proposed. Non-negative matrix factorization, a commonly used BSS method, is refined to suit practical applications by adopting the Itakura-Saito distance and the sparse constraint. Then, fault source signals are adaptively identified based on the proposed envelope spectrum peak factor. By introducing a new waveform extension strategy to effectively reduce the endpoint effect, multipoint optimal minimum entropy deconvolution adjusted is improved and used to enhance and extract weak features. Simulation and experimental results validate the effectiveness and robustness of the proposed approach across various stable working conditions and different types of compound faults.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"159 ","pages":"Pages 337-351"},"PeriodicalIF":6.3,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143191556","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}
ISA transactionsPub Date : 2025-04-01DOI: 10.1016/j.isatra.2025.02.007
Ning Xu , Huiling Xu , Zhiping Lin , Jun Zhang
{"title":"Extended state observer-based backstepping control for nonlinear systems under FDI attacks","authors":"Ning Xu , Huiling Xu , Zhiping Lin , Jun Zhang","doi":"10.1016/j.isatra.2025.02.007","DOIUrl":"10.1016/j.isatra.2025.02.007","url":null,"abstract":"<div><div>In this paper, a novel extended state observer-based backstepping control scheme is proposed for strict-feedback nonlinear systems with unmeasured states suffering from false data injection (FDI) attacks. An extended state observer is designed to achieve simultaneous online estimation of system states and FDI attacks. A secure output feedback tracking control scheme with an attack compensation method is proposed to reduce the influence of FDI attacks. It is proven that the proposed scheme can guarantee that the closed-loop system is semi-global uniformly ultimately bounded. Moreover, it is shown that the observation errors can be as small as desired with an adjustable parameter and the tracking error can converge to a small neighborhood of the origin. Finally, two simulation examples verify the efficiency of the proposed approach.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"159 ","pages":"Pages 80-91"},"PeriodicalIF":6.3,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143461130","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}
ISA transactionsPub Date : 2025-04-01DOI: 10.1016/j.isatra.2025.01.043
Li-Song Sun, Da-Zhi Wang, Tai-Lai Tong, Si-Han Wang
{"title":"Anti-disturbance control of permanent magnet eddy-current coupler speed control system based on disturbance interval observer","authors":"Li-Song Sun, Da-Zhi Wang, Tai-Lai Tong, Si-Han Wang","doi":"10.1016/j.isatra.2025.01.043","DOIUrl":"10.1016/j.isatra.2025.01.043","url":null,"abstract":"<div><div>For the permanent magnet eddy-current coupler speed control system with external disturbances, consideration is given to achieving anti-disturbance objectives through disturbance compensation. Utilizing partial information of disturbance dynamics, it is convenient to design a disturbance interval observer (DIO), generating upper and lower bounds covering each element of the external disturbances, where the positive system theory ensures non-negativity of errors. Then, based on the DIO, disturbance reconstruction is performed for feedforward compensation, while feedback control is employed for tracking and stabilization, eliminating control chattering generated by the sliding mode. The controller is presented in a parameterized form to obtain the designed closed-loop system, allowing for easy handling of additional performance requirements. Finally, numerical simulations validate the superiority and benefit of the estimation and control scheme.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"159 ","pages":"Pages 236-246"},"PeriodicalIF":6.3,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143416346","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}
ISA transactionsPub Date : 2025-04-01DOI: 10.1016/j.isatra.2025.02.008
Tong Yuan, Lin Li
{"title":"Admissible consensus tracking control for nonlinear singular multi-agent systems via sampled-data event-triggered mechanisms","authors":"Tong Yuan, Lin Li","doi":"10.1016/j.isatra.2025.02.008","DOIUrl":"10.1016/j.isatra.2025.02.008","url":null,"abstract":"<div><div>This paper discusses the admissible consensus tracking problem for nonlinear singular multi-agent systems under sampled-data event-triggered mechanisms, where the nonlinear dynamics are unknown. In the sampled-data framework, both static and dynamic event-triggered mechanisms are designed based on the observers, and the dynamic event-triggered mechanism has superior performance. Moreover, in order to eliminate the effect of bounded consensus caused by the double estimation problem, this study proposes a distributed adaptive event-triggered control protocol. This protocol is designed to establish sufficient conditions for achieving admissible consensus tracking of singular multi-agent systems. Finally, the theoretical results are verified by three numerical examples.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"159 ","pages":"Pages 92-102"},"PeriodicalIF":6.3,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143493983","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}
ISA transactionsPub Date : 2025-04-01DOI: 10.1016/j.isatra.2025.02.010
Huaiping Jin , Xin Dong , Bin Qian , Bin Wang , Biao Yang , Xiangguang Chen
{"title":"Soft sensor modeling using deep learning with maximum relevance and minimum redundancy for quality prediction of industrial processes","authors":"Huaiping Jin , Xin Dong , Bin Qian , Bin Wang , Biao Yang , Xiangguang Chen","doi":"10.1016/j.isatra.2025.02.010","DOIUrl":"10.1016/j.isatra.2025.02.010","url":null,"abstract":"<div><div>Deep learning techniques such as autoencoder (AE) and stacked autoencoders (SAE) have gained growing popularity in soft sensor applications. However, they often encounter several disadvantages, such as poor correlations between the extracted hidden features and the quality variable, inevitable information loss resulting from the layer-wise feature extraction, and information redundancy between the hidden features. Thus, a maximal relevance and minimal redundancy-based representation learning (MRMRRL) is proposed for quality prediction of industrial processes. MRMRRL obtains significant performance enhancement by combining the merits from three channels. First, the relevance between the input and output variable is taken into account for enabling quality-relevant feature extraction. Second, kernel principal component analysis (KPCA) is performed on the feature space of AE hidden layer for achieving redundancy reduction of hidden features. Third, inputs with high quality relevance are fed to the extension layer nodes for enabling information compensation. The experimental results show that, compared with the baseline SAE, the performance of MRMRRL is improved by about 37 % and 38 % for two application examples, respectively. Significant performance enhancement of MRMRRL can be also obtained compared to several state-of-the-art deep learning soft sensors. These results demonstrate the effectiveness and superiority of the proposed MRMRRL approach in extracting quality-related hidden features while ensuring automatic elimination of hidden feature redundancy and maintaining structure simplicity.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"159 ","pages":"Pages 293-311"},"PeriodicalIF":6.3,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143442671","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}
ISA transactionsPub Date : 2025-04-01DOI: 10.1016/j.isatra.2025.02.015
Zhifan Jiang , Zhihua Chen , Kang Xu , Lei Shi
{"title":"Distributed collaborative control to pose tracking for six-DOF parallel mechanism under multi-cylinder communication","authors":"Zhifan Jiang , Zhihua Chen , Kang Xu , Lei Shi","doi":"10.1016/j.isatra.2025.02.015","DOIUrl":"10.1016/j.isatra.2025.02.015","url":null,"abstract":"<div><div>Determining how to enhance performance of pose tracking in internal uncertainties, external disturbances, and the mutual interference among actuators is a promising research topic for six-degree-of-freedom (DOF) parallel mechanism. To address these challenges, this study introduces a collaborative pose tracking control strategy that integrates third-order active disturbance rejection control (ADRC) for a single actuator and multi-agent consensus control for multiple actuators. Solved the problem of reduced pose tracking accuracy caused by internal modeling uncertainty of actuators, external interference, and mutual interference between actuators. And the stability of this control approach is theoretically proven. Subsequently, the control strategy is implemented on a six-DOF parallel mechanism for comprehensive simulation and experimental. Simulation and experimental results show that compared with using an ADRC to regulate a single actuator, the proposed control strategy reduces position and attitude errors by about 90%, verifying the effectiveness of the control strategy proposed in this paper.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"159 ","pages":"Pages 312-325"},"PeriodicalIF":6.3,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143631146","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}
ISA transactionsPub Date : 2025-04-01DOI: 10.1016/j.isatra.2025.01.046
Menghan Xi , Lin Wu , Qianqian Li , Guocheng Mao , Pengfei Wu , Bing Ji , Lifeng Bao , Yong Wang
{"title":"Reference composite features database construction method based on track segmentation for gravity matching aided navigation","authors":"Menghan Xi , Lin Wu , Qianqian Li , Guocheng Mao , Pengfei Wu , Bing Ji , Lifeng Bao , Yong Wang","doi":"10.1016/j.isatra.2025.01.046","DOIUrl":"10.1016/j.isatra.2025.01.046","url":null,"abstract":"<div><div>The reference database or maps is the most important foundation of the gravity matching aided navigation system, which can directly affect the navigation performance of the system and determine the level of matching positioning accuracy. The matching algorithm is usually designed according to the form of database, and its principle is closely related to the structure of database. In this paper, a reference composite features database construction method based on track segmentation (TS-RFD) is proposed. The TS-RFD method mainly can extract texture features from gravity reference data, and determines 8 kinds of features such as index feature and matching feature to establish a reference composite features database. Combined with the search structure of key-value pairs, index feature is used as keys and matching features as values to propose the track segmentation search strategy for matching, and the final positioning result is obtained. Compared to the traditional numerical gravity reference databases or maps which briefly constructed from just gravity anomaly values, with the proposed TS-RFD method various matching features derived from gravity distribution and change are composited to construct a reference composite features database. When the new TS-RFD based database is loaded for gravity matching aided navigation system instead of traditional numerical database, it can significantly enhance efficiency and accuracy, and maintains robust stability. Six subregions in the South China Sea with different gravity distribution and changes were chosen for simulation experiments to verify the performance of proposed database construction. In these six subregions, matching positioning tests along 4200 simulated tracks were carried out. Simulation results show that, with gravity features database constructed from TS-RFD method, both matching accuracy and stability of gravity matching navigation are distinctly improved that obviously superior to the gravity matching with traditional pure numerical database. Moreover, the gravity matching navigation tests were conducted utilizing real measured gravity data in the South China Sea. Measured data test results indicate that after 150 times matching positioning along the track, the average positioning accuracies of matching navigation experiment with traditional numerical database are more than 1.45 nautical miles. In contrast, the average positioning accuracy with TS-RFD database can achieve 1.19 nautical miles, the stability and success rate are still significant advantages.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"159 ","pages":"Pages 203-215"},"PeriodicalIF":6.3,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143257653","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}
ISA transactionsPub Date : 2025-04-01DOI: 10.1016/j.isatra.2025.02.014
Sinan Basaran
{"title":"Modified inverted pendulum on a cart system with four-bar mechanism","authors":"Sinan Basaran","doi":"10.1016/j.isatra.2025.02.014","DOIUrl":"10.1016/j.isatra.2025.02.014","url":null,"abstract":"<div><div>In this study, the inverted pendulum on cart system, classic problem of control theory has been modified and an experimental control design has been proposed to maintain balance of a four-bar mechanism instead of a traditional pendulum rod system. Both the inverted pendulum on cart system and the four-bar mechanism are commonly used systems that have been the subject of many control theory problems. Therefore, the combination of these two widely studied systems, which is the focus of this research paper, could very well be integrated for various practical problems such as Segway transportation systems, robotic applications, and rocket guidance systems. With this motivation the modified system has been designated as the \"four-bar on a cart system\", and dynamic equations of motion have been obtained using the Lagrange method. Furthermore, the performance of the system has been validated through an established experimental setup, and the experimental results for a Lyapunov type backstepping controller are presented. The utilization of a four-bar mechanism instead of a pendulum rod has led to greater challenges in the derivation of the motion of equation due to the additional link position variables in the system. However, despite the modifications on the system, the total degrees of freedom remain unchanged, and the system continues to exhibit dynamic behavior similar to inverted pendulum on cart system. For the completeness of the proposed topic, the inverted pendulum on cart system was initially investigated in this study, and its experimental results were presented. Subsequently, the focus shifted to the four-bar on a cart system.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"159 ","pages":"Pages 364-374"},"PeriodicalIF":6.3,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143442054","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}