{"title":"Event-Based Prescribed-Time Containment Control for Multiple Euler–Lagrange Systems via Super-Twisting Sliding Mode","authors":"Yuyang Wu, Hongru Ren, Deyin Yao, Hongyi Li","doi":"10.1002/rnc.7812","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>This article designs a distributed dynamic event-triggered prescribed-time sliding mode controller to tackle the containment control problem of multiple Euler–Lagrange systems (MELSs) with external disturbances and strict requirements on response speed. Unlike previous super-twisting methods that achieve finite-time control, this paper replaces the constant term in the time scaling function with a variable term and incorporates it into the design of the controller and dynamic event-triggered mechanism (DETM), achieving prescribed-time control (PTC), enhancing system robustness and reducing controller updates. Based on the sliding mode variable structure theory and PTC theory, a non-linear sliding manifold is devised for the purpose of ensuring the convergence of containment error to zero within a prescribed time. The prescribed-time super-twisting sliding mode control (PTSTC) protocol is designed to ensure the prescribed-time reachability of the sliding manifold, while attenuating chattering during the control process. The prescribed time can be set arbitrarily. To minimize the frequency of controller updates and the losses of the actuator, a DETM is deployed in the controller-to-actuator channel. Moreover, the absence of the Zeno phenomenon within a prescribed time is derived. Error signals are proven to converge to zero within a prescribed time using the Lyapunov stability theory and prescribed-time stability criteria. Ultimately, a simulation of a manipulator system indicates that the designed controller effectively drives the containment error to converge to zero. Meanwhile, the number of triggers is reduced by more than 50% when the controller framework involves DETM compared to static event-triggered mechanisms.</p>\n </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 8","pages":"2898-2909"},"PeriodicalIF":3.2000,"publicationDate":"2025-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Robust and Nonlinear Control","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/rnc.7812","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This article designs a distributed dynamic event-triggered prescribed-time sliding mode controller to tackle the containment control problem of multiple Euler–Lagrange systems (MELSs) with external disturbances and strict requirements on response speed. Unlike previous super-twisting methods that achieve finite-time control, this paper replaces the constant term in the time scaling function with a variable term and incorporates it into the design of the controller and dynamic event-triggered mechanism (DETM), achieving prescribed-time control (PTC), enhancing system robustness and reducing controller updates. Based on the sliding mode variable structure theory and PTC theory, a non-linear sliding manifold is devised for the purpose of ensuring the convergence of containment error to zero within a prescribed time. The prescribed-time super-twisting sliding mode control (PTSTC) protocol is designed to ensure the prescribed-time reachability of the sliding manifold, while attenuating chattering during the control process. The prescribed time can be set arbitrarily. To minimize the frequency of controller updates and the losses of the actuator, a DETM is deployed in the controller-to-actuator channel. Moreover, the absence of the Zeno phenomenon within a prescribed time is derived. Error signals are proven to converge to zero within a prescribed time using the Lyapunov stability theory and prescribed-time stability criteria. Ultimately, a simulation of a manipulator system indicates that the designed controller effectively drives the containment error to converge to zero. Meanwhile, the number of triggers is reduced by more than 50% when the controller framework involves DETM compared to static event-triggered mechanisms.
期刊介绍:
Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.