AutomaticaPub Date : 2025-09-22DOI: 10.1016/j.automatica.2025.112610
Yankai Lin , Michelle S. Chong , Carlos Murguia
{"title":"Secondary safety control for systems with sector bounded nonlinearities","authors":"Yankai Lin , Michelle S. Chong , Carlos Murguia","doi":"10.1016/j.automatica.2025.112610","DOIUrl":"10.1016/j.automatica.2025.112610","url":null,"abstract":"<div><div>We consider the problem of safety verification and safety-aware controller synthesis for systems with sector bounded nonlinearities. We aim to keep the states of the system within a given safe set under potential actuator and sensor attacks. Specifically, we adopt the setup that a controller has already been designed to stabilize the plant. Using invariant sets and barrier certificate theory, we first give sufficient conditions to verify the safety of the closed-loop system under attacks. Furthermore, by using a subset of sensors that are assumed to be free of attacks, we provide a synthesis method for a secondary controller that enhances the safety of the system. The sufficient conditions to verify safety are derived using Lyapunov-based tools and the <span><math><mi>S</mi></math></span>-procedure. Using the projection lemma, the conditions are then formulated as linear matrix inequality (LMI) problems which can be solved efficiently. Lastly, our theoretical results are illustrated through numerical simulations.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"183 ","pages":"Article 112610"},"PeriodicalIF":5.9,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145120935","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}
AutomaticaPub Date : 2025-09-22DOI: 10.1016/j.automatica.2025.112607
Yiwen Qi , Ziyu Qu , Dong Shen
{"title":"Iterative learning control for performance-driven switched systems under all unknown channel gains","authors":"Yiwen Qi , Ziyu Qu , Dong Shen","doi":"10.1016/j.automatica.2025.112607","DOIUrl":"10.1016/j.automatica.2025.112607","url":null,"abstract":"<div><div>Fading channels introduce random and unknown gains into signal transmission, which has a great impact on the accuracy of the transmitted data, thus affecting system stability. However, there are few studies on this regard in the control field. In this paper, the transmission of both feedback and switching signals is affected by the unknown channel gains, which induces severe mode asynchronization in the switched systems under iterative learning control (ILC). For the faded switching signals, by designing a calibration-rounding mechanism (CRM) to recover it, the asynchronous time can gradually decrease with the iteration, and finally the system achieves synchronization, that is calibration-rounding-based iterative synchronization (CRIS). For the faded feedback signals, an improved gain estimation mechanism (IGEM) is given to correct the signal faster with fewer iterations. Moreover, a novel tracking performance-driven switching law (TPD-SL) is proposed to reasonably schedule subsystems for obtaining optimal performance. A set of new average dwell time (ADT) conditions with the minimum synchronization time is obtained. Finally, the effectiveness of the method is verified by numerical simulations.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"183 ","pages":"Article 112607"},"PeriodicalIF":5.9,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145121033","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}
AutomaticaPub Date : 2025-09-22DOI: 10.1016/j.automatica.2025.112605
Xueyan Xing , Guoqiang Hu
{"title":"Distributed fault-tolerant control for a class of uncertain cascaded ODE-PDE multi-agent systems","authors":"Xueyan Xing , Guoqiang Hu","doi":"10.1016/j.automatica.2025.112605","DOIUrl":"10.1016/j.automatica.2025.112605","url":null,"abstract":"<div><div>In this paper, a distributed fault-tolerant control is proposed for a class of uncertain cascaded ordinary differential equation (ODE)-partial differential equation (PDE) multi-agents. For the cascaded system under consideration, the output of ODEs serves as the input signal of PDEs such that a distributed control involving states of the ODE as well as the PDE system is expected to be designed for consensus tracking. Based on the designed distributed control, where the actuator is assumed to be healthy, a distributed fault-tolerant control is designed to guarantee the performance of the system, and it is further improved to deal with actuator failures. To enhance the robustness of the cascaded system, the system uncertainties and the external disturbances of both followers and leader are compensated using adaptive laws and an adaptive distributed observer, based on which the stabilization of the cascaded ODE-PDE multi-agent system can be achieved with partially known agents’ information. Simulation results are carried out to prove the effectiveness of the proposed method.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"183 ","pages":"Article 112605"},"PeriodicalIF":5.9,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145121035","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}
AutomaticaPub Date : 2025-09-22DOI: 10.1016/j.automatica.2025.112595
Ruru Jia , Yuan-Hua Ni , Guangchen Wang
{"title":"Event-triggered global and group consensus for linear multiagent systems with multiplicative noises","authors":"Ruru Jia , Yuan-Hua Ni , Guangchen Wang","doi":"10.1016/j.automatica.2025.112595","DOIUrl":"10.1016/j.automatica.2025.112595","url":null,"abstract":"<div><div>This article is concerned with the event-triggered global and group consensus problems for linear multiagent systems (MASs) with multiplicative noises and directed topology. First, for the global consensus of MASs under a balanced directed graph, a stochastic input-to-state stability property is proved to show that the piecewise constant control input has sufficient feedback capability; based on the relative state measurement, two novel static and dynamic event-triggered mechanisms (ETMs) are established to reduce the number of controller updates, where the Zeno phenomenon is effectively eliminated by imposing a uniformly strictly fixed positive time for all the inter-event times. Especially, new stochastic stability analysis techniques are developed to give sufficient conditions of mean square and almost sure consensus in both static and dynamic ETMs. Moreover, the obtained results on global consensus are extended to the setting of group consensus in order to cope with some grouping tasks in practical applications. Finally, some examples are presented to show the validity of theoretical results.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"183 ","pages":"Article 112595"},"PeriodicalIF":5.9,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145121036","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}
AutomaticaPub Date : 2025-09-20DOI: 10.1016/j.automatica.2025.112614
Yuzhou Wei , Giorgia Disarò , Wenjie Liu , Jian Sun , Maria Elena Valcher , Gang Wang
{"title":"Distributed data-driven unknown-input observers","authors":"Yuzhou Wei , Giorgia Disarò , Wenjie Liu , Jian Sun , Maria Elena Valcher , Gang Wang","doi":"10.1016/j.automatica.2025.112614","DOIUrl":"10.1016/j.automatica.2025.112614","url":null,"abstract":"<div><div>Unknown inputs related to, e.g., sensor aging, modeling errors, or device bias, represent a major concern in wireless sensor networks, as they degrade the state estimation performance. To improve the performance, unknown-input observers (UIOs) have been proposed. Most of the results available to design UIOs are based on explicit system models, which can be difficult or impossible to obtain in real-world applications. Data-driven techniques, on the other hand, have become a viable alternative for the design and analysis of unknown systems using only data. In this context, a novel data-driven distributed unknown-input observer (D-DUIO) for unknown continuous-time linear time-invariant (LTI) systems is developed, which requires solely some data collected offline, without any prior knowledge of the system matrices. In the paper, first, a model-based approach to the design of a DUIO is presented. A sufficient condition for the existence of such a DUIO is recalled, and a new one is proposed, that is prone to a data-driven adaptation. Moving to a data-driven approach, it is shown that under suitable assumptions on the input/output/state data collected from the continuous-time system, it is possible to both claim the existence of a D-DUIO and to derive its matrices in terms of the matrices of pre-collected data. Finally, the efficacy of the D-DUIO is illustrated by means of numerical examples.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"183 ","pages":"Article 112614"},"PeriodicalIF":5.9,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145106626","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}
AutomaticaPub Date : 2025-09-20DOI: 10.1016/j.automatica.2025.112596
Xiaodi Li , Mingzhu Wang
{"title":"Input-to-state stability of self-triggered impulsive control systems","authors":"Xiaodi Li , Mingzhu Wang","doi":"10.1016/j.automatica.2025.112596","DOIUrl":"10.1016/j.automatica.2025.112596","url":null,"abstract":"<div><div>This paper studies the local input-to-state stability (<em>LISS</em>) of nonlinear systems under the self-triggered impulsive control (<em>STIC</em>) method. A novel <em>LISS</em>-type comparison principle is proposed, by which the <em>LISS</em> property of addressed system can be derived by the <em>LISS</em> property of its comparison system. On the basis of it, some Lyapunov-based sufficient conditions for non-Zeno behavior and <em>LISS</em> of nonlinear systems are provided in the framework of <em>STIC</em>. Moreover, the designed self-triggering mechanism (<em>STM</em>) is in the form of an explicit relationship with simple structure and east implementation. Finally, two numerical examples are given to illustrate the effectiveness of the proposed results.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"183 ","pages":"Article 112596"},"PeriodicalIF":5.9,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145106623","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}
AutomaticaPub Date : 2025-09-20DOI: 10.1016/j.automatica.2025.112613
Yutian Wang , Qingkai Meng , Yi Jiang
{"title":"Robustness of supervisory controllers subject to measurement disturbances","authors":"Yutian Wang , Qingkai Meng , Yi Jiang","doi":"10.1016/j.automatica.2025.112613","DOIUrl":"10.1016/j.automatica.2025.112613","url":null,"abstract":"<div><div>This paper studies the supervisory control problem for a class of uncertain nonlinearly parameterized systems in the presence of measurement disturbance. Based on the well-established estimator-based supervisory control structure, a robustification of supervisory controller dealing with measurement disturbance is developed taking advantage of the monitoring signals redesign, such that the plant state asymptotically converges to a given set-point or its neighborhood, subject to the vanishing or the persistent measurement disturbance, respectively. Moreover, a constructive design of the multi-estimator using measurement feedback is proposed for the supervisory control of a class of uncertain nonlinearly parameterized systems in the strict-feedback form. A numerical simulation based on an uncertain mass–spring system is given to show the efficacy of our proposed algorithm, in which we use an event-trigger to be a measurement disturbance generator.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"183 ","pages":"Article 112613"},"PeriodicalIF":5.9,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145106622","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}
AutomaticaPub Date : 2025-09-19DOI: 10.1016/j.automatica.2025.112618
Yi Cheng , Xin Wang , Yuhu Wu , Bao-Zhu Guo
{"title":"Sector stabilization criterion of a novel nonlinear flexible marine riser coupled system","authors":"Yi Cheng , Xin Wang , Yuhu Wu , Bao-Zhu Guo","doi":"10.1016/j.automatica.2025.112618","DOIUrl":"10.1016/j.automatica.2025.112618","url":null,"abstract":"<div><div>This paper establishes a sector stabilization criterion for a nonlinear flexible marine riser system that incorporates lateral and transverse coupling vibrations, derived from Hamilton’s principle. This criterion, grounded in the sector-bounded condition, encompasses a wide range of linear and nonlinear feedback control laws applied to the transverse and lateral directions at the top boundary of the flexible marine riser, respectively. In the analysis, the nonlinear semigroup theory is utilized to establish the well-posedness of the resulting closed-loop coupled system. Notably, the solution demonstrates continuous dependence on the initial conditions. Furthermore, the exponential stability of the closed-loop coupled system is achieved by employing a generalized Gronwall-type integral inequality and the integral multiplier method, which involves the innovative development of an energy-like functional. To demonstrate the effectiveness of the proposed controls, numerical simulations utilizing the finite element method are presented.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"183 ","pages":"Article 112618"},"PeriodicalIF":5.9,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145106625","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}
AutomaticaPub Date : 2025-09-19DOI: 10.1016/j.automatica.2025.112597
Peng Wang , Mou Chen , Shuzhi Sam Ge , Xiaobing Zhang
{"title":"Constrained finite-time and fixed-time stabilization for linear systems: Adaptive implicit Lyapunov function-based control","authors":"Peng Wang , Mou Chen , Shuzhi Sam Ge , Xiaobing Zhang","doi":"10.1016/j.automatica.2025.112597","DOIUrl":"10.1016/j.automatica.2025.112597","url":null,"abstract":"<div><div>In this paper, finite-time and fixed-time stabilization problems are investigated for single-input single-output (SISO) linear system under the control input constraint. The achievement of finite-time or fixed-time convergence rates is facilitated through the utilization of adaptive implicit Lyapunov function (ILF)-based control. For ease of practical implementation, the dynamics of Approximated-ILF (AILF) guarantees the precise estimation of ILF, while the stability of AILF-based control holds established. Furthermore, from both performance and input-constrained safety considerations, the anti-windup (AW) AILF endows the system with tolerance to saturation and maintains the non-asymptotic convergence properties. Numerical simulations support the obtained theoretical results and verify their effectiveness.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"183 ","pages":"Article 112597"},"PeriodicalIF":5.9,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145106132","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}
AutomaticaPub Date : 2025-09-19DOI: 10.1016/j.automatica.2025.112602
Zeqiang Li , Jason J.R. Liu , Yongduan Song
{"title":"Adaptive fault-tolerant control of nonlinear systems: A self-regulating spatiotemporal performance approach","authors":"Zeqiang Li , Jason J.R. Liu , Yongduan Song","doi":"10.1016/j.automatica.2025.112602","DOIUrl":"10.1016/j.automatica.2025.112602","url":null,"abstract":"<div><div>This paper investigates the problem of performance constraints of uncertain nonlinear systems with actuator faults. Particularly, by developing the boundary threshold triggering strategy, the performance boundaries would be updated adaptively once the distance between the tracking error and the performance boundaries is smaller than the given threshold. Moreover, compared with the existing works, the transient behaviors are improved, and the limitation imposed on the initial conditions is removed attributed to the construction of novel performance functions and error transformation. Then, an adaptive fault-tolerant control scheme with self-regulating spatiotemporal performance is designed for a class of nonlinear systems with non-parametric uncertainties. It is shown that both the boundedness of the closed-loop signals and the satisfactory performance constraints are guaranteed in the presence of unpredictable actuator failure. The effectiveness of the proposed method is verified by theoretical analysis and numerical simulation.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":"183 ","pages":"Article 112602"},"PeriodicalIF":5.9,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145106131","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}