N. Javanmardi, P. Borja, A. J. van der Schaft, M. J. Yazdanpanah, J. M. A. Scherpen
{"title":"Energy-Based Trajectory Tracking for Underactuated Mechanical Systems: Velocity-Free and Disturbance Rejection Methods","authors":"N. Javanmardi, P. Borja, A. J. van der Schaft, M. J. Yazdanpanah, J. M. A. Scherpen","doi":"10.1002/rnc.8014","DOIUrl":"https://doi.org/10.1002/rnc.8014","url":null,"abstract":"<p>This work investigates three energy-shaping control approaches to address the trajectory-tracking problem for specific classes of underactuated mechanical systems. In particular, the notions of contractive systems and dynamic extensions are utilized to solve the trajectory-tracking problem while addressing implementation issues such as the lack of velocity sensors and the presence of constant disturbances. To this end, a first tracking controller is developed without the need for velocity measurements. A second controller is introduced, solving the trajectory-tracking problem while rejecting matched constant disturbances. Then, a third approach establishes conditions to combine both mentioned controllers. It is shown that the proposed design methods guarantee exponential convergence of closed-loop systems for specific classes of underactuated mechanical systems. The third method is illustrated with an example.</p>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 14","pages":"6036-6050"},"PeriodicalIF":3.2,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/rnc.8014","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145101192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Performance Enhancement for Adaptive Safe Control Systems Tracking Periodic Signals","authors":"Lijun Liu, Dongxu Gao, Zhen Yu, Shihan Liu","doi":"10.1002/rnc.8044","DOIUrl":"https://doi.org/10.1002/rnc.8044","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper presents an adaptive safe repetitive control approach to improve the tracking performance for periodic reference signals in a class of controlled plants with state constraints and unknown parameters. First, a parameter estimation error extraction mechanism under persistent excitation conditions is employed. Next, an internal model of periodic reference signals, that is, a repetitive controller, is embedded into the reference model to enhance the capability of tracking control. Meanwhile, a new parameter update law based on estimation error is derived to approximate the parametric uncertainty, which enables the error signals in the adaptive control to converge exponentially to zero. Subsequently, an adaptive control barrier function is formulated using quadratic programming to handle state constraints. Safety criteria and error convergence conditions for the controller parameters are provided. Finally, numerical simulations demonstrate the effectiveness, and a comparison of the tracking performance of this method, conventional adaptive control, and other control methods highlights its superiority.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 14","pages":"6125-6136"},"PeriodicalIF":3.2,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145101197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Adaptive Event-Triggered Global Tracking Control With Prescribed Performance for High-Order Nonlinear Systems With Time-Varying Powers","authors":"Yan Jiang, Wei Tian","doi":"10.1002/rnc.8045","DOIUrl":"https://doi.org/10.1002/rnc.8045","url":null,"abstract":"<div>\u0000 \u0000 <p>The global adaptive tracking problem for a class of high-order nonlinear systems with time-varying powers is considered in the frame of event-triggered control and prescribed performance methods. A novel error transformation is introduced, distinct from existing approaches, eliminating the constraint on the initial state. To mitigate the risk of tracking error exceeding the prescribed range, a modified performance function is defined, allowing temporary deviation from the prescribed performance. An event-triggered controller is formulated to ensure that the tracking error can converge to a predefined range within a specified settling time. The validity of the proposed scheme is illustrated by an example.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 14","pages":"6137-6146"},"PeriodicalIF":3.2,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145101183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yichun Niu, Ming Gao, Yongli Wei, Wuxiang Huai, Li Sheng
{"title":"Incipient Fault Detection for Time-Delayed Systems Under Dynamic Event-Triggered Mechanism","authors":"Yichun Niu, Ming Gao, Yongli Wei, Wuxiang Huai, Li Sheng","doi":"10.1002/rnc.8043","DOIUrl":"https://doi.org/10.1002/rnc.8043","url":null,"abstract":"<div>\u0000 \u0000 <p>This article investigates the problem of incipient fault detection for time-delayed systems with stochastic noise. For the sake of reducing the communication and computing cost, the dynamic event-triggered mechanism (DETM) is employed. Based on the lifting method and the nonuniform sampling method, the time-delayed system under the DETM is transformed to a time-varying system. Then, a novel incipient fault detection algorithm is designed, and the fault detectability is analyzed in a probabilistic sense, which effectively reduces the missed detection rate under a given false alarm rate. Finally, two examples are given to show the availability of the designed method.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 14","pages":"6115-6124"},"PeriodicalIF":3.2,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145101191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reinforcement Learning-Fuzzy Composite \u0000 \u0000 \u0000 \u0000 H\u0000 \u0000 \u0000 ∞\u0000 \u0000 \u0000 Tracking Control of Input-Saturated Nonlinear Singularly Perturbed Systems","authors":"Linna Zhou, Gonghe Li, Xiaomin Liu, Chunyu Yang","doi":"10.1002/rnc.8023","DOIUrl":"https://doi.org/10.1002/rnc.8023","url":null,"abstract":"<div>\u0000 \u0000 <p>The composite control problem is investigated for a class of nonlinear singularly perturbed systems (SPSs) with input-saturated and partially unknown model information. For the slow subsystem with unknown model information, we introduce an augmented state and derive the tracking Hamilton-Jacobi-Isaacs (HJI) equation, taking into account saturation effects and using the reinforcement learning (RL) method to solve it. For a fast subsystem affected by slow time-varying parameters, a type-2 fuzzy model is used to approximate it as several subsystems irrelevant to the slow time-varying parameters. By using the parallel distributed compensation design, the optimal regulation problem of the fast subsystem is transformed into the optimal regulation problem of linear systems. The problem of the saturation upper bound for the fast and slow controllers is addressed using a hyperbolic tangent functional. The virtual subsystem state is reconstructed using measured data from the original system. Furthermore, a saturation gain parameter is designed for both fast and slow controllers to meet the input saturation condition of the original system and reduce the conservativeness of the controllers. The effectiveness of the method is validated in the context of permanent magnet synchronous motors (PMSM) as a practical application scenario.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 14","pages":"5930-5942"},"PeriodicalIF":3.2,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145101220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}