International Journal of Robust and Nonlinear Control最新文献

{"title":"Cascaded Controller Tuned UPQC for PQ Enhancement in EV Connected Charging Station","authors":"Jatoth Rajender,&nbsp;Manisha Dubey,&nbsp;Yogendra Kumar","doi":"10.1002/rnc.70013","DOIUrl":"https://doi.org/10.1002/rnc.70013","url":null,"abstract":"<div>\u0000 \u0000 <p>Power grids are a byproduct of the development of conventional power systems. They comprise electronic power converters and a variety of renewable energy sources. Power quality (PQ) controllers for renewable sources have been modeled in order to handle the high energy demand. Although numerous solutions have been utilized thus far, the PQ issue demands specific consideration. Hence, the unified power quality conditioner (UPQC) is proposed to address the problem of PQ enhancement in electric vehicle (EV) connected charging stations (CS). For tuning UPQC, the tilt and proportional integral derivatives are cascaded (C-TI-PI) together. In addition, the golden search optimization algorithm (GSOA) is included to control the battery's charging behavior of the bidirectional buck boost converter. The implementation is carried out through MATLAB/Simulink, and the observed result shows the stability and efficacy of the proposed controller. The implementation results are analyzed through two cases to validate the robustness of a proposed C-TI-PI-based UPQC controller. Moreover, the total harmonic distortions (THD) are also determined for the proposed strategy and compared with the traditional methods. The overall characteristic response reveals the effectiveness of a proposed controller.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 15","pages":"6589-6603"},"PeriodicalIF":3.2,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145101260","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":"Command Filter-Based Adaptive Predefined-Time Tracking Control for Uncertain Systems With Disturbance Compensation","authors":"Ninan Que,&nbsp;Hui Sun,&nbsp;Wenxiang Deng,&nbsp;Jianyong Yao,&nbsp;Xiaoli Zhao,&nbsp;Jian Hu,&nbsp;Minzhou Luo","doi":"10.1002/rnc.70018","DOIUrl":"https://doi.org/10.1002/rnc.70018","url":null,"abstract":"<div>\u0000 <p>For uncertain nonlinear systems characterized by parameter uncertainties and unmodeled disturbances, an adaptive predefined-time tracking control strategy is investigated in conjunction with disturbance observers. First, parameter uncertainties are addressed via predefined-time adaptive laws, and a novel disturbance observer is devised to dynamically compensate for unmodeled disturbances. Subsequently, a predefined-time controller employing predefined-time filters is formulated based on the command-filtered backstepping control framework. The proposed controller mitigates the “complexity explosion” issue and ensures continuous control signals during the control process. Theoretical analysis confirms that the proposed controller guarantees the tracking error converges to a small vicinity around zero within a predefined time, while the system's convergence time is arbitrarily predeterminable, irrespective of the system parameters. Ultimately, the validity of the developed controller is confirmed through two simulation examples.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 15","pages":"6604-6618"},"PeriodicalIF":3.2,"publicationDate":"2025-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145101182","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":"Stability With Safety Analysis for Switched Systems via Multiple Lyapunov and Barrier Functions","authors":"Junjie Lu,&nbsp;Bodan Liu,&nbsp;Zhikun She,&nbsp;Shunkun Yang","doi":"10.1002/rnc.70003","DOIUrl":"https://doi.org/10.1002/rnc.70003","url":null,"abstract":"<div>\u0000 \u0000 <p>Safety and stability are two critical issues in many practical switched control systems, particularly those used in industrial, transportation, medical, and other high-risk applications where failure could lead to serious consequences. This paper is concerned with the issue of proposing sufficient conditions for simultaneously verifying the stability and safety of time-varying switched nonlinear systems (TSNS) under a state-dependent but unsafe-region-independent switching signal. Specifically, based on multiple Lyapunov functions and multiple barrier functions, we at first present several sufficient conditions for simultaneously obtaining the (uniform) stability with safety, (uniform) asymptotic stability with safety, and (uniform) exponential stability with safety of TSNS with any form of unsafe set. Furthermore, considering the broad applications of finite-time stability in practical systems, a sufficient condition for simultaneously achieving finite-time stability and safety is presented. Note that the above conditions relax the requirements of the nonincreasing property of the multiple Lyapunov functions and multiple barrier functions along the trajectories of TSNS. In the end, the effectiveness of our results is illustrated by four examples.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 15","pages":"6564-6578"},"PeriodicalIF":3.2,"publicationDate":"2025-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145101245","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":"Stochastic Approximation in Unbalanced Time-Varying Networks for Robust Distributed Coordinated Control","authors":"Bo Wang,&nbsp;Zhimin Han,&nbsp;Chunjie Zhai,&nbsp;Xinxin Lv","doi":"10.1002/rnc.70017","DOIUrl":"https://doi.org/10.1002/rnc.70017","url":null,"abstract":"<div>\u0000 \u0000 <p>The stochastic approximation-based control law has been proved to be a powerful tool to achieve the robust distributed coordinated control for multi-agent systems (MASs) with uncertain disturbances in fixed or balanced time-varying network. However, its effectiveness proof in unbalanced time-varying networks is not well solved. The main contribution of this paper is solving this problem in two typical coordinated control problems based on a time-varying quadratic Lyapunov function. First, the stochastic approximation for consensus problem of discrete-time single-integrator MASs with additive noises is studied. We build the weak consensus, mean square and almost sure consensus conclusion under the assumption that the time-varying network is uniformly strongly connected (USC) by adopting the stochastic approximation-based consensus protocol. The convergence rate of the weak consensus is also quantified. Second, the stochastic approximation for formation control problem of MASs with relative-position information in the plane as an application of the built consensus conclusion is studied. We show that the stochastic approximation-based formation control law can be used to achieve the desired formation for MASs if the network is USC. We finally give numerical simulations to verify the correctness of the conclusion.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 15","pages":"6579-6588"},"PeriodicalIF":3.2,"publicationDate":"2025-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145101181","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":"A Combined Estimator for Nonlinear System Identification via LPV Approximations","authors":"Sadegh Ebrahimkhani,&nbsp;John Lataire","doi":"10.1002/rnc.8057","DOIUrl":"https://doi.org/10.1002/rnc.8057","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper addresses the identification of Nonlinear (NL) systems using a linearization approach, introducing a combined estimator to tackle this challenge. We assume that the unknown NL system operates around a stable, slowly varying (nominal) operating point. The system trajectory is then perturbed slightly via small input perturbations. While the system's operating point evolves slowly over time, the small (broadband) input signal excites the system dynamics. We demonstrate that the NL system's response to these small perturbations can be approximated by a Linear Parameter-Varying (LPV) system model. Furthermore, we show that this LPV model represents the linearized version of the unknown NL system around the operating point. A new parametrization for the LPV model coefficients, referred to as “gradient-parameterized” LPV coefficients, is introduced, establishing a structural relationship between the coefficients. This structural relationship reduces the number of parameters to be estimated and ensures that the LPV model always corresponds to the linearized form of the NL system. Additionally, we demonstrate that this LPV model structure allows for the unique reconstruction of the NL system model through symbolic integration, resulting in a closed-form nonlinear Ordinary Differential Equation (ODE). This integration introduces a second structural relationship, linking the LPV model to the NL model. By leveraging these two structural relationships, we reformulate the problem of NL system identification via linearization as a combined estimation problem, leading to a unified LPV-NL estimation framework. This approach utilizes all available data, including perturbation data (linear response) and the varying operating point (NL response). The proposed approach employs a combined estimator to locally identify the joint LPV-NL model within the neighborhood of the system's operating point. Although the estimated NL model is localized around this nominal trajectory, an experimental approach is proposed to reduce the linear approximation error, thereby enlarging the validity region of the final model. Finally, we present a numerical example to illustrate the performance of the proposed method.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 15","pages":"6545-6563"},"PeriodicalIF":3.2,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145101338","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 \u0000 \u0000 \u0000 \u0000 \u0000 H\u0000 \u0000 \u0000 ∞\u0000 \u0000 \u0000 \u0000 $$ {H}_{infty } $$\u0000 Control of Switched Cyber-Physical Systems Under Bilateral Cyber-Attacks","authors":"Linlin Hou,&nbsp;Huahao Liu,&nbsp;Dong Yang,&nbsp;Haibin Sun","doi":"10.1002/rnc.70007","DOIUrl":"https://doi.org/10.1002/rnc.70007","url":null,"abstract":"<div>\u0000 \u0000 <p>In this paper, the adaptive <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mrow>\u0000 <mi>H</mi>\u0000 </mrow>\u0000 <mrow>\u0000 <mi>∞</mi>\u0000 </mrow>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {H}_{infty } $$</annotation>\u0000 </semantics></math> control problem is studied for the switched cyber-physical systems against bilateral cyber-attacks, which means the cyber-attacks occur both in sensor-to-controller channel and controller-to-actuator channel simultaneously. To reduce the influence of the bilateral cyber-attacks on system performance, the adaptive switched controller, the adaptive laws and the switching law dependent on the average dwell time method are co-designed. By resorting to constructed Lyapunov functions, the switched cyber-physical systems with bilateral cyber-attacks asymptotically converge to zero, and the adaptive <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mrow>\u0000 <mi>H</mi>\u0000 </mrow>\u0000 <mrow>\u0000 <mi>∞</mi>\u0000 </mrow>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {H}_{infty } $$</annotation>\u0000 </semantics></math> control problem is solved. Finally, an aero-engine example is adopted to verify the effectiveness of the obtained results.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 15","pages":"6523-6533"},"PeriodicalIF":3.2,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145101236","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 Predefined-Time Consensus Control for Stochastic Multi-Agent Systems","authors":"Guanli Xiao,&nbsp;Lulu Ren,&nbsp;Quanxin Zhu,&nbsp;JinRong Wang","doi":"10.1002/rnc.70014","DOIUrl":"https://doi.org/10.1002/rnc.70014","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper aims to study the adaptive predefined-time consensus control for stochastic multi-agent systems (SMASs). First, the classic Bihari's inequality has been extended and a Lyapunov theorem on predefined-time stability for nonlinear stochastic systems is established. Second, a distributed predefined-time consensus protocol is proposed for SMASs by leveraging the adaptive techniques. It is worth emphasizing that the proof of the validity of the control protocol is based on the predefined-time stability that we have established. Finally, an example is given to verify the main results.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 15","pages":"6534-6544"},"PeriodicalIF":3.2,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145101237","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":"Secured State Estimation-Based Tracking Control Design for Periodic Piecewise Polynomial Systems With Deception Attacks Over a Finite-Horizon","authors":"N. Aravinth,&nbsp;R. Sakthivel,&nbsp;T. Satheesh,&nbsp;M. G. Hafez","doi":"10.1002/rnc.8069","DOIUrl":"https://doi.org/10.1002/rnc.8069","url":null,"abstract":"<div>\u0000 \u0000 <p>In this research, we assess the observer-oriented finite-time security tracking control issue for periodic piecewise polynomial time-varying systems that are sensitive to deception attacks, external disturbances, and time-delay. To be specific, an observer scheme with a periodic piecewise polynomial nature has been formed with the purpose of offering an estimation of the system states that are being investigated. A control law is drawn up by setting the reference system and basing it on the observer framework, which provides a considerable amount of assistance to the system to attain the ideal state tracking performance. Furthermore, the quantization strategy is put to use to tackle the communication restrictions that are experienced in the output segment. Additionally, the deception attacks are taken into consideration in the output channel, where the Bernoulli distribution is applied for the purpose of governing the random nature of the attacks. Also, the effects of external disturbances are minimized with the use of dissipative theory. Besides, by employing the matrix polynomial lemma, finite-time stability theory and Lyapunov stability theory, an appropriate set of conditions that guarantee the main goal of this evaluation is established within the context of linear matrix inequalities. Finally, a numerical example is presented together with simulated outcomes to indicate the beneficial effects of the intended control and the vitality of the theoretical conclusions.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 15","pages":"6495-6508"},"PeriodicalIF":3.2,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145100953","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":"Impulsive Control of Second-Order Intelligent Vehicle Longitudinal Platooning Under the Event-Triggered Mechanism","authors":"Xiaopeng Li,&nbsp;Duc Truong Pham,&nbsp;Xuesong Zhang,&nbsp;Qiang Zhao","doi":"10.1002/rnc.70004","DOIUrl":"https://doi.org/10.1002/rnc.70004","url":null,"abstract":"<div>\u0000 \u0000 <p>With the development of impulsive control methods, the application of impulsive control in intelligent vehicle platooning systems has attracted significant research interest. However, current research on impulsive control in platooning systems mostly remains at the level of first-order dynamic models, which cannot satisfy the requirements of intelligent vehicle platooning systems. To address these challenges, this study thoroughly investigated the problem of intelligent vehicle platoon formation using a distributed event-triggered impulsive control method. The vehicles were modeled as a second-order dynamic system, and the control logic for each intelligent vehicle was updated only when the state error exceeded the predefined allowable range. The control inputs were executed by the actuator only at event-triggered instants. By combining Lyapunov stability theory with the impulsive control method, a series of sufficient conditions for ensuring leader-following consensus were successfully derived. In addition, our approach effectively avoids the occurrence of Zeno behavior. The effectiveness of the control scheme has been validated using several simulation examples. This study provides new ideas and methods for the development of intelligent vehicle platooning control and provides technical support and guidance for the construction and application of future intelligent transportation systems.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 15","pages":"6475-6484"},"PeriodicalIF":3.2,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145100951","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":"Prescribed-Time Hierarchical Optimal Formation Control for UAVs Under DoS Attacks","authors":"Man Zhang,&nbsp;Yuan-Xin Li,&nbsp;Zhongsheng Hou","doi":"10.1002/rnc.70006","DOIUrl":"https://doi.org/10.1002/rnc.70006","url":null,"abstract":"<div>\u0000 \u0000 <p>This article presents a hierarchical control strategy, which consists of a reference systems layer and a task execution layer, to solve the problem of prescribed-time optimal formation control for fixed-wing unmanned aerial vehicles subject to denial-of-service (DoS) attacks. First, the reference systems provide guidance trajectories for all unmanned aerial vehicles (UAVs). Unlike existing resilient methods, the proposed methods are compatible with various types of DoS attacks, such as intermittent DoS attacks, aperiodic DoS attacks, and interrupted communication DoS attacks. Moreover, the proposed methods relax the assumption that the leader's system is particular. The second layer is control execution, where the optimal controller is designed by combining the backstepping technique with the reinforcement learning technique. Meanwhile, the tracking errors of followers converge to a specified small area near zone in a prescribed time, and the proposed approach guarantees convergence and optimal performance, even in external disturbances and input saturations. Finally, some examples illustrate the efficacy and advantages of the suggested algorithm.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 15","pages":"6509-6522"},"PeriodicalIF":3.2,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145101276","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}