ISA transactionsPub Date : 2025-04-23DOI: 10.1016/j.isatra.2025.04.010
Jiafeng Li , Ruihang Ji , Hao Yan , Jiefeng Shan , Zanwei Chen
{"title":"Switching event-triggered self-adjusting prescribed performance force control of electrohydraulic load simulator","authors":"Jiafeng Li , Ruihang Ji , Hao Yan , Jiefeng Shan , Zanwei Chen","doi":"10.1016/j.isatra.2025.04.010","DOIUrl":"10.1016/j.isatra.2025.04.010","url":null,"abstract":"<div><div>This paper addresses the problem of switching event-triggered self-adjusting prescribed performance force control of electro-hydraulic load simulator (EHLS). A reduced-order fuzzy speed state observer for speed estimation is designed and a self-adjusting performance boundary is devised to mitigate the commutation jitter problem. The switching event-triggered mechanism dynamically adjusts the triggering conditions to optimize resource utilization. To reduce the complexity of the traditional inverse stepping control, the dynamic surface technique is adopted. The results demonstrate that the proposed control method guarantees the boundedness of the closed-loop system states and confines the tracking error to a small range near the equilibrium point within a finite time horizon. Finally, the effectiveness of the proposed method is demonstrated through experimentation.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"162 ","pages":"Pages 217-226"},"PeriodicalIF":6.3,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144039703","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 : 2025-04-23DOI: 10.1016/j.isatra.2025.04.013
Xing Ren , Qing Guo , Tieshan Li , Dan Jiang , Yan Shi
{"title":"Fault detection and tolerant control with a variable-bandwidth extended state observer for electro-hydraulic servo systems with lumped disturbance and measurement noise","authors":"Xing Ren , Qing Guo , Tieshan Li , Dan Jiang , Yan Shi","doi":"10.1016/j.isatra.2025.04.013","DOIUrl":"10.1016/j.isatra.2025.04.013","url":null,"abstract":"<div><div>In this study, a novel fault detection and tolerant control method are presented for electro-hydraulic servo systems (EHSS) with actuator partial loss of effectiveness (LOE) fault. Meanwhile, the parameter uncertainties, external disturbances, and output measurement noise are also considered. Firstly, we construct a new mapping function with a simple and flexible structure, and then design a variable-bandwidth extended state observer (VBESO) based on this function to estimate the states and lumped disturbance of the system. The designed VBESO can not only balance estimation accuracy and noise sensitivity, but also decouple the fault component from the lumped disturbance, thus facilitating fault detection. Subsequently, we design an adaptive law with time-varying gain that can accurately approximate the actuator LOE coefficient, and propose a stable fault detection scheme by combining the designed adaptive law, with the detection results that are less affected by changes in system states. The mutual coordination of the mentioned decoupling, adaptive law, and time-varying gain is a key feature of our method, rarely seen in other works. Furthermore, a fault-tolerant controller with the proposed VBESO and adaptive law is developed, which can guarantee that, even in the presence of the considered adverse obstacles, the hydraulic cylinder maintains high tracking accuracy and the control performance can be promptly recovered after an actuator fault occurs. Finally, the proposed method is validated by simulations and experiments, and it is compared with other controllers in different scenarios.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"162 ","pages":"Pages 287-300"},"PeriodicalIF":6.3,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143995623","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 : 2025-04-22DOI: 10.1016/j.isatra.2025.04.009
Zhiyong Yu , Tianrong Xu , Tao Tang
{"title":"Acceleration control in a dual-stage inertial stabilization system using embedded-parallel-based repetitive-peak compensation","authors":"Zhiyong Yu , Tianrong Xu , Tao Tang","doi":"10.1016/j.isatra.2025.04.009","DOIUrl":"10.1016/j.isatra.2025.04.009","url":null,"abstract":"<div><div>Acceleration control demonstrates high sensitivity to nonlinear vibrations in the inertial stabilized motion, usually serving as the preferred choice for observation systems in applications like space optical communications, enabling precise tracking and pointing. However, the stabilization performance is limited by the inadequate gain at mid- to high-frequencies in conventional acceleration control, as well as other nonlinear factors like flexibility and backlash. In this paper, an embedded-parallel-based stabilization methodology is proposed for an acceleration-based dual-stage inertial system to achieve additional notch shaping of the sensitivity function. The essence of this method involves implementing a repetitive controller with a low waterbed effect, paralleled with a peak compensator at a specific frequency to establish an efficient and rapid compensation structure. Relying exclusively on a repetitive controller proves effective in eliminating uncertain periodic vibrations, acting as a substitute for an infinite number of peak compensators. Incorporating an additional mid- to low-frequency peak compensator, designed based on the priori narrowband vibration spectrum, is considered an auxiliary supplement to the repetitive controller. Crucially, this parallel structure neither destabilizes the system nor imposes significant computational burden. Simulations and experiments were conducted at typical vibration frequencies of 1-4 Hz, and experimental results demonstrated a 35%–48% improvement in acceleration stabilization performance, enhancing the system’s capability to reject non-strictly periodic vibrations beyond the control bandwidth.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"162 ","pages":"Pages 243-255"},"PeriodicalIF":6.3,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144056128","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 : 2025-04-19DOI: 10.1016/j.isatra.2025.04.004
Jia Wu , Wenyan Tang , Wenzhong Lei , Yongfang Xie , Touseef Ali
{"title":"Free-will arbitrary time optimization for multi-agent systems with time-varying function","authors":"Jia Wu , Wenyan Tang , Wenzhong Lei , Yongfang Xie , Touseef Ali","doi":"10.1016/j.isatra.2025.04.004","DOIUrl":"10.1016/j.isatra.2025.04.004","url":null,"abstract":"<div><div>The article investigates the problem of free-will arbitrary-time optimization for multi-agent systems. This refers to an optimization algorithm that not only urges all agents to come to a consensus but also collaboratively minimizes the sum of their individual time-varying objective functions within a predesignated arbitrary time frame. Unlike fixed-time or finite-time optimization issues, the problem here allows for the specification of an arbitrary settling time. To address this issue, we developed distributed optimization strategies with arbitrary settling times for the single-integrator and double-integrator multi-agent systems. Given the strongly convex nature of the time-varying functions specific to each agent, our algorithms are crafted utilizing the zero-gradient-sum approach. Theoretical analysis shows that our proposed algorithms are effective in minimizing the collective objective function and ensuring consensus among all agents within a user-defined arbitrary time frame. Illustrative simulation examples validate these theoretical results.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"162 ","pages":"Pages 1-10"},"PeriodicalIF":6.3,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144059222","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 : 2025-04-18DOI: 10.1016/j.isatra.2025.04.017
Sencai Ma , Gang Cheng , Yong Li , Huang An , Chang Liu
{"title":"The interpretable health condition monitoring method of gear transmission system embedded in feature cloud-guided hypergraph structure under the extremely small-sample background","authors":"Sencai Ma , Gang Cheng , Yong Li , Huang An , Chang Liu","doi":"10.1016/j.isatra.2025.04.017","DOIUrl":"10.1016/j.isatra.2025.04.017","url":null,"abstract":"<div><div>Addressing the condition monitoring challenges faced by gearboxes under extremely small-sample conditions, this study proposes an interpretable hypergraph discriminative embedding approach based on feature cloud augmentation. Specifically, a supervised feature learning framework based on hypergraphs is first established in this study, which effectively maps the raw health features of gearboxes into an intuitive and low-dimensional manifold space. This transformation facilitates the extraction of highly discriminative feature representations for various health conditions. Furthermore, to tackle the instability or even failure of subspace solutions during the construction of the low-dimensional manifold space in hypergraphs due to the extremely small-sample challenge, a feature cloud-based augmentation method is innovatively designed in this study. By constructing an augmented feature matrix, this strategy fundamentally alleviates the small sample constraint, thereby ensuring the effectiveness and stability of hypergraph learning. To comprehensively validate the effectiveness of the proposed method, this study conducted extensive tests and verifications on both the fault dataset from a drivetrain diagnostics simulator and practical fault monitoring data from wind turbine gearboxes. The experimental results demonstrate that the method can accurately monitor the health conditions of gearboxes under extremely small-sample conditions, significantly enhancing the reliability and safety of equipment operation.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"162 ","pages":"Pages 272-286"},"PeriodicalIF":6.3,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144039132","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 : 2025-04-15DOI: 10.1016/j.isatra.2025.03.024
Jiatong He , Jiancheng Zhang , Yan Wang , Xudong Zhao
{"title":"A prescribed-time functional observer for systems with unknown input","authors":"Jiatong He , Jiancheng Zhang , Yan Wang , Xudong Zhao","doi":"10.1016/j.isatra.2025.03.024","DOIUrl":"10.1016/j.isatra.2025.03.024","url":null,"abstract":"<div><div>This paper different from traditional approaches, proposes a novel method where the target vector <span><math><mi>z</mi></math></span> is treated as the state variable of an observer LTI system by system reformulations, which greatly facilitates the use of the classical Luenberger state observer to address the prescribed-time functional observer (PTFO) design issue. Subsequently, for the newly formulated LTI system with <span><math><mi>z</mi></math></span> as the state variable, a PTFO is developed for the single-output case that is capable of accurately estimating <span><math><mi>z</mi></math></span> within a user-defined time, and is subsequently extended to the multiple-output case. More importantly, it can avoid the jumps that usually occur in Engel’s prescribed-time observers. Besides, The sufficient and necessary conditions for PTFO realization are explicitly formulated through the original system matrices, thereby enabling designers/users to conduct preliminary compatibility assessments prior to control scheme implementation. Finally, two examples are presented to demonstrate the effectiveness of the proposed method.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"161 ","pages":"Pages 88-96"},"PeriodicalIF":6.3,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143904487","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 : 2025-04-15DOI: 10.1016/j.isatra.2025.03.019
Yun Chen , Huiling Xu , Zhiping Lin , Yuqing Chen , Zhengcai Li , Jun Zhang
{"title":"Adaptive observer-based bipartite tracking consensus for nonlinear multi-agent systems with unknown sensor failures","authors":"Yun Chen , Huiling Xu , Zhiping Lin , Yuqing Chen , Zhengcai Li , Jun Zhang","doi":"10.1016/j.isatra.2025.03.019","DOIUrl":"10.1016/j.isatra.2025.03.019","url":null,"abstract":"<div><div>This paper investigates the bipartite tracking consensus (BTC) problem for a broad class of nonlinear multi-agent systems (NMASs) with and without unknown sensor failures. In order to relax the constraint on nonlinear dynamics in signed graph, a general lemma that extends differential mean value theorem is first put forward. On this basis, an adaptive controller is designed to achieve the bounded BTC for the NMASs. Furthermore, when unknown sensor failures occur, an adaptive observer is devised to estimate the uncompromised system states and failure factors simultaneously. Combining the proposed adaptive observer and controller, the bounded BTC property can be maintained in the presence of unknown sensor failures. Lastly, two simulation examples are carried out to illustrate the effectiveness of the proposed methods.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"161 ","pages":"Pages 73-87"},"PeriodicalIF":6.3,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143904486","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 : 2025-04-14DOI: 10.1016/j.isatra.2025.04.005
Xueyang Meng, Yun Chen, Jianjun Bai, Yunfei Guo
{"title":"Distributed filtering for nonlinear time-varying systems with Byzantine attacks and innovation constraints: A FlexRay scheduling mechanism","authors":"Xueyang Meng, Yun Chen, Jianjun Bai, Yunfei Guo","doi":"10.1016/j.isatra.2025.04.005","DOIUrl":"10.1016/j.isatra.2025.04.005","url":null,"abstract":"<div><div>This paper focuses on the distributed filtering problem for a special type of time-varying systems undergoing stochastic nonlinearities, Byzantine attacks and innovation constraints within the finite-horizon <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> framework. Taking into account limited network resources, a FlexRay scheduling mechanism incorporating the Round-Robin and weighted try-once-discard protocols is deployed to orchestrate transmission behaviors between sensors and remote filters. A Byzantine attack model is introduced with which the Byzantine nodes falsify the measurements by injecting certain perturbations before sharing them with neighboring nodes. The main purpose of this study is to design a distributed filter for the considered system model such that a finite-horizon <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 is satisfied for the filtering error dynamics. By applying the stochastic analysis method, a sufficient condition is firstly derived to guarantee the existence of desired distributed filter that ensures the prescribed performance index, following which proper filter parameters are designed by solving a set of matrix inequalities. Subsequently, a recursive distributed filtering algorithm is presented, which is friendly for online implementation. Finally, a numerical example is carried out to illustrate the validity of the obtained theoretical results.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"161 ","pages":"Pages 145-154"},"PeriodicalIF":6.3,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143904419","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 : 2025-04-12DOI: 10.1016/j.isatra.2025.04.002
Na Dong, Xianzheng Li, Changbin Li
{"title":"Synchronized optimization of chilled water temperature in compression refrigeration system based on PII-AWOA","authors":"Na Dong, Xianzheng Li, Changbin Li","doi":"10.1016/j.isatra.2025.04.002","DOIUrl":"10.1016/j.isatra.2025.04.002","url":null,"abstract":"<div><div>The widespread adoption of air conditioning systems has heightened concerns over energy consumption. Despite extensive research on optimizing compression refrigeration systems, achieving global optimization remains challenging. This paper addresses this issue by proposing a novel optimization strategy for vapor compression refrigeration systems. Central to this strategy is the optimization of chilled water temperature, a critical factor influencing overall system efficiency. This variable is synchronized with evaporating pressure (<span><math><msub><mrow><mi>P</mi></mrow><mrow><mi>e</mi></mrow></msub></math></span>) and condensing pressure (<span><math><msub><mrow><mi>P</mi></mrow><mrow><mi>c</mi></mrow></msub></math></span>) to achieve simultaneous optimal settings. Simulation results underscore the efficacy of this approach in significantly reducing energy consumption during steady-state operation. Moreover, an Adaptive Whale Optimization Algorithm based on Population Information Interactions (PII-AWOA) is developed to enhance optimization performance. Firstly, a population information utilization strategy is designed to improve the selection of optimal individuals in the original algorithm. In addition, adaptive measures are introduced to equalize the exploration and exploitation capabilities of the algorithm. Finally, individual neighborhoods are divided within the population, enabling ordinary individuals to utilize the information of others in their neighborhood, thereby realizing inter-individual information interaction. Experimental results indicate that the PII-AWOA algorithm demonstrates superior precision in convergence on multiple test functions and effectively mitigates the risk of local minima. Comparative analyses with the ZOA algorithm highlight the superior convergence speed and enhanced energy-saving capabilities of the proposed PII-AWOA algorithm.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"162 ","pages":"Pages 198-208"},"PeriodicalIF":6.3,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144035018","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 : 2025-04-11DOI: 10.1016/j.isatra.2025.03.016
Yadong Yang , Xuan Qiu , Qikun Shen
{"title":"Adaptive neural fault-tolerant tracking control for state-constrained systems subject to multiple power drift faults","authors":"Yadong Yang , Xuan Qiu , Qikun Shen","doi":"10.1016/j.isatra.2025.03.016","DOIUrl":"10.1016/j.isatra.2025.03.016","url":null,"abstract":"<div><div>The adaptive neural fault-tolerant control (FTC) for state-constrained systems containing novel sensor and actuator faults is investigated in this article. This work considers not only common actuator bias and gain faults, but also a novel type of fault caused by the power drift of system, namely the power drift faults. In addition, sensor faults in the form of unknown power drifts are also considered in this work. To compensate the impact of multiple power drift faults, a novel controller is established by introducing new auxiliary signals. The radial basis function neural networks (RBFNNs) are employed to resolve some uncertain functions and reduce the computational complexity. By combining the backstepping approach and barrier Lyapunov functions, a new adaptive FTC algorithm is developed. Based the presented controller, all signals in this system remain semi-globally bounded and the control error is guided to a small range near zero. Simultaneously, system constraints are not violated. At last, a simulation experiment is performed to confirm the validity and feasibility of the developed algorithm.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"161 ","pages":"Pages 66-72"},"PeriodicalIF":6.3,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143904485","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}