ISA transactionsPub Date : 2025-04-26DOI: 10.1016/j.isatra.2025.04.019
Qiang Guo, Xianku Zhang
{"title":"Adaptive path following control for autonomous surface vehicles towed by a single tugboat with output constraints.","authors":"Qiang Guo, Xianku Zhang","doi":"10.1016/j.isatra.2025.04.019","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.04.019","url":null,"abstract":"<p><p>This paper proposes an adaptive fixed-time path-following control scheme for autonomous tugboats towing vessels, addressing both performance and feasibility constraints. To establish a clear path relationship, the kinematic models of the tugboat and the towed vessel are decoupled, allowing coordinated control through the tugboat's propulsion system and towline dynamics. Building on this foundation, a barrier Lyapunov function combined with an adaptive backstepping approach is employed to design a controller that ensures high navigation accuracy while meeting output constraints. To achieve seamless coordination, a consensus-based dynamic controller is developed, enabling velocity and heading synchronization between the tugboat and the towed vessel. Furthermore, a fixed-time convergence algorithm is incorporated, guaranteeing system stability and error convergence within a predefined time frame. To enhance robustness against nonlinear uncertainties and external disturbances, radial basis neural networks and adaptive robust terms are integrated into the control framework. Finally, simulation results validate the effectiveness of the proposed approach, demonstrating precise path-following performance and reliable error convergence under complex operational conditions.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144015094","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}
ISA transactionsPub Date : 2025-04-26DOI: 10.1016/j.isatra.2025.04.014
V P Meena, V P Singh
{"title":"Zeta converter: Kharitonov polynomials based interval reduced order modeling.","authors":"V P Meena, V P Singh","doi":"10.1016/j.isatra.2025.04.014","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.04.014","url":null,"abstract":"<p><p>This research proposes a continuous interval reduced-order model (ROM) for a fourth-order constant interval Zeta converter using Kharitonov polynomials. First, the fourth-order continuous interval transfer function is obtained using interval arithmetic for the Zeta converter. Then, this model is reduced to first, second, and third orders using Kharitonov polynomials. For this reduction, Kharitonov polynomials are derived for the denominator, and a Routh table is constructed for these polynomials. The ROM denominator is then obtained from the Routh table. The numerator is determined using time-moments (TiMo) and Markov parameters (MaPa) matching. Comparisons with other models demonstrate the efficacy of our method. Step and impulse responses, as well as the Bode and Nichols plots for the lower and upper bounds, are provided to illustrate the method's effectiveness. Time-domain specifications (TDS) and performance error criterion (PEC) are tabulated to support a comparative study. These results show that our method effectively reduces the order of the Zeta converter while maintaining accuracy and performance.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144063678","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}
ISA transactionsPub Date : 2025-04-25DOI: 10.1016/j.isatra.2025.04.018
Xindong Si, Zhen Wang
{"title":"Bipartite synchronization of competition-cooperation neural networks and its application via truncated sampled-data control.","authors":"Xindong Si, Zhen Wang","doi":"10.1016/j.isatra.2025.04.018","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.04.018","url":null,"abstract":"<p><p>This paper proposes a scheme to reduce coupling strength and achieve bipartite synchronization in competition-cooperation neural networks based on truncated sampled-data control. In this approach, the truncated sampled-data control means that only partial sampling information is used and the rest are discarded. Based on this, this paper proposes the concept of maximum data truncation rate, which quantitatively characterizes the bandwidth savings. A pinning truncated sampled-data controller associated with competition-cooperation interactions is designed, and a tractable error system is constructed using coordinate transformation techniques. Then, aiming at reducing coupling strength, a dual-interval-dependent Lyapunov function is designed according to the characteristics of the control scheme and the network structure. Combining Lyapunov theory with inequality techniques, two sufficient criteria are developed to ensure the bipartite synchronization of competition-cooperation neural networks. Based on these criteria, two algorithms are developed to determine the minimum allowable coupling strength and the maximum allowable data truncation rate, respectively. Two improvements over the previous Lyapunov functions are discussed: reducing the allowable coupling strength and increasing the allowable data truncation rate. Finally, the advantages and effectiveness of the proposed control scheme are demonstrated by an application and numerical examples.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144012169","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}
ISA transactionsPub Date : 2025-04-24DOI: 10.1016/j.isatra.2025.04.008
Yicong Lin, Chaoyang Dong, Qing Wang
{"title":"Practical prescribed-time output tracking control of uncertain nonaffine systems with input saturation based on time base generator.","authors":"Yicong Lin, Chaoyang Dong, Qing Wang","doi":"10.1016/j.isatra.2025.04.008","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.04.008","url":null,"abstract":"<p><p>To enhance adaptability in practical applications, active disturbance rejection control is extended to uncertain nonaffine systems with input saturation, achieving practical prescribed-time tracking control that drives the error to a sufficiently small neighborhood within a user-defined settling time. Based on a time-varying function called time base generators (TBG), a more general practical prescribed-time (PPT) nonlinear extended state observer (NLESO) is designed to estimate unknown states and total uncertainties while effectively suppressing peaking phenomena. By utilizing the PPT NLESO outputs, a TBG-based saturation control law is constructed to achieve PPT output tracking and address the nonaffine-in-control problem. The local PPT convergence of the closed-loop system under low-level input saturation is proved in a new paradigm. The numerical simulation and semi-physical simulation on the F-16 aircraft demonstrate the efficacy and superiority of the proposed method.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144015211","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}
ISA transactionsPub Date : 2025-04-23DOI: 10.1016/j.isatra.2025.04.011
Meixi Wang, Xuyang Lou, Baotong Cui, Johan Suykens
{"title":"An attention-based approach for Koopman modeling and predictive control of nonlinear systems.","authors":"Meixi Wang, Xuyang Lou, Baotong Cui, Johan Suykens","doi":"10.1016/j.isatra.2025.04.011","DOIUrl":"https://doi.org/10.1016/j.isatra.2025.04.011","url":null,"abstract":"<p><p>We develop an innovative attention-based deep learning method for constructing Koopman eigenfunctions, addressing the challenge of accurately modeling nonlinear systems for predictive control. This method is motivated by the need to identify a diffeomorphism that precisely delineates the topological conjugacy between nonlinear dynamics and their linearized counterparts. Leveraging the capabilities and suitability of invertible neural networks, we deploy an architecture equipped with conditional affine coupling layers to approximate this diffeomorphism. A pivotal feature is the integration of an attention mechanism within these layers, enhancing the capture of complex interactions across various layers. Additionally, we propose an alternative strategy, which employs an invertible decoding neural network in conjunction with a frozen decoder, to refine the diffeomorphism approximation further. Utilizing Koopman eigenfunctions and eigenvalues obtained from the learned diffeomorphism, we construct a lifted linear system with an optimized input matrix via multi-step error minimization, which facilitates the predictive control of nonlinear systems through an extended robust linear model predictive control framework. Numerical examples and a physical experiment validate the efficacy of our framework, demonstrating superior prediction performance compared to existing dynamic mode decomposition-based methods.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144048530","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}
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":"https://doi.org/10.1016/j.isatra.2025.04.010","url":null,"abstract":"<p><p>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.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"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":0,"RegionCategory":"","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":"https://doi.org/10.1016/j.isatra.2025.04.013","url":null,"abstract":"<p><p>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.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"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":0,"RegionCategory":"","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":"https://doi.org/10.1016/j.isatra.2025.04.009","url":null,"abstract":"<p><p>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.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"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":0,"RegionCategory":"","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":"https://doi.org/10.1016/j.isatra.2025.04.004","url":null,"abstract":"<p><p>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.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"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":0,"RegionCategory":"","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":"https://doi.org/10.1016/j.isatra.2025.04.017","url":null,"abstract":"<p><p>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.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0,"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":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}