International Journal of Robust and Nonlinear Control最新文献_第3页

Event-Triggered Based Trajectory Tracking Control of Under-Actuated Unmanned Surface Vehicle with Input Quantization and Output Constraints 基于输入量化和输出约束的欠驱动无人水面飞行器事件触发轨迹跟踪控制

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-05-27 DOI: 10.1002/rnc.8027

Jun Ning, Yuanning Yue, Tieshan Li, Lu Liu

{"title":"Event-Triggered Based Trajectory Tracking Control of Under-Actuated Unmanned Surface Vehicle with Input Quantization and Output Constraints","authors":"Jun Ning, Yuanning Yue, Tieshan Li, Lu Liu","doi":"10.1002/rnc.8027","DOIUrl":"https://doi.org/10.1002/rnc.8027","url":null,"abstract":"<div>\u0000 \u0000 <p>The under-actuated unmanned surface vehicle (USV) trajectory tracking control problem is examined in this paper in relation to output constraints, model uncertainties, and external disturbances. To alleviate the pressure of the limited communication bandwidth of USV at sea, this paper uses a composite quantizer to linearly describe the quantization process. For the problem of under-actuated USV with two available inputs, controllers are designed based on the backstepping algorithm and the theory of the Barrier Lyapunov function (BLF), respectively, so as to address the problem of output constraints. Then, to realize the compensation of the uncertainty, an adaptive neural network system is used for the approximation. In addition, while ensuring effective tracking of the under-actuated USV, to save communication resources more effectively and reduce the frequency of controller execution, this paper adopts the event-triggered mechanism in the controller design. It is demonstrated through stability analysis that the output constraints will not be broken, guaranteeing that the system's outputs will remain within a manageable range and that all signals will be eventually bounded while preventing Zeno behavior. Finally, simulation results are used to validate the efficacy of the control mechanism suggested in this paper.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 15","pages":"6319-6337"},"PeriodicalIF":3.2,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145102180","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}

引用次数: 0

Synchronization and Control for Directed Multilevel Complex Networks With Arbitrary Couplings 具有任意耦合的有向多层复杂网络的同步与控制

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-05-27 DOI: 10.1002/rnc.8065

Leijing Xie, Xiwei Liu

引用次数: 0

Fault-Tolerant Time-Varying Formation Tracking for Multi-Agent Systems With Varying Number of Agents and Mixed Cyber Attacks 具有变数量智能体和混合网络攻击的多智能体系统的容错时变编队跟踪

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-05-26 DOI: 10.1002/rnc.8048

Kunzhong Miao, Chang Wang, Yifeng Niu, Huangzhi Yu, Tianqing Liu

{"title":"Fault-Tolerant Time-Varying Formation Tracking for Multi-Agent Systems With Varying Number of Agents and Mixed Cyber Attacks","authors":"Kunzhong Miao, Chang Wang, Yifeng Niu, Huangzhi Yu, Tianqing Liu","doi":"10.1002/rnc.8048","DOIUrl":"https://doi.org/10.1002/rnc.8048","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper proposes a fault-tolerant time-varying formation tracking control scheme for second-order multi-agent systems with varying numbers of agents and mixed cyber attacks. Initially, compared to the current failure model, a distributed failure model based on fault characteristics has been established. Subsequently, the cyber attack models following different rules are embedded into the system to reduce their impact. Then we use the topological structure segmentation method (TSSM) to decouple and derive the closed-loop system state equations under mixed network attacks. Furthermore, topological structure uncertainty is employed to depict the variations in network topology. A pulse-time-correlated average Lyapunov function is designed to obtain sufficient conditions for guaranteed formation error convergence and boundedness of all closed-loop signals. After this, control gains are iteratively computed using iterative linear matrix inequalities. Finally, the performance of the proposed method is validated through a set of numerical examples and software-in-the-loop (SITL) experiments based on the XTdrone simulation platform.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 15","pages":"6288-6307"},"PeriodicalIF":3.2,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145102240","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}

引用次数: 0

Initial Excitation-Based Inverse Reinforcement Learning for Continuous-Time Linear Non-Zero-Sum Games 基于初始激励的连续时间线性非零和博弈逆强化学习

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-05-26 DOI: 10.1002/rnc.8026

Hongyang Li, Gansu Zhang, Qinglai Wei

引用次数: 0

Knowledge Fusion-Based Neural Network Control for Uncertain Nonlinear Systems via Deterministic Learning 基于确定性学习的不确定非线性系统知识融合神经网络控制

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-05-26 DOI: 10.1002/rnc.7993

Qinchen Yang, Fukai Zhang, Cong Wang

{"title":"Knowledge Fusion-Based Neural Network Control for Uncertain Nonlinear Systems via Deterministic Learning","authors":"Qinchen Yang, Fukai Zhang, Cong Wang","doi":"10.1002/rnc.7993","DOIUrl":"https://doi.org/10.1002/rnc.7993","url":null,"abstract":"<div>\u0000 \u0000 <p>This article proposes a knowledge fusion neural network (NN) control method based on deterministic learning (DL) for uncertain nonlinear systems. The goal is to explore the knowledge acquisition capability and generalization of the controller in a larger task space, enhancing the learning ability and control performance for complex control tasks. Specifically, the proposed closed-loop knowledge fusion control scheme is divided into the following two categories: online and offline knowledge fusion learning control (KFLC). In the online KFLC phase, a collaborative control strategy is used, incorporating a mechanism to transmit neural update information. This ultimately ensures that NN weights of all active systems converge to a shared optimal value. Second, offline KFLC initially achieves accurate identification of the intrinsic closed-loop dynamics through DL control for each single trajectory. The knowledge is then stored as constant value NNs, and subsequently, the issue of knowledge fusion for multitrajectory closed-loop dynamics is transformed into a least squares (LS) problem. Furthermore, an NN-based learning controller utilizing integrated knowledge is constructed to achieve the vision of multitask intelligent control in complex scenarios. The simulation section validates the effectiveness of the proposed scheme.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 13","pages":"5468-5487"},"PeriodicalIF":3.2,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144909974","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}

引用次数: 0

Asynchronous Control for 2 $$ 2 $$ -D Switched Systems With Quasi-Time-Dependent Lyapunov Function and Weighted Average Dwell Time Strategy 基于准时变Lyapunov函数和加权平均停留时间策略的2 - $$ 2 $$ -D切换系统异步控制

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-05-26 DOI: 10.1002/rnc.8071

Qiang Yu, Wangxian Su

{"title":"Asynchronous Control for \u0000 \u0000 \u0000 2\u0000 \u0000 $$ 2 $$\u0000 -D Switched Systems With Quasi-Time-Dependent Lyapunov Function and Weighted Average Dwell Time Strategy","authors":"Qiang Yu, Wangxian Su","doi":"10.1002/rnc.8071","DOIUrl":"https://doi.org/10.1002/rnc.8071","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper focuses on the asynchronous control for a specific category of two-dimensional (<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mn>2</mn>\u0000 </mrow>\u0000 <annotation>$$ 2 $$</annotation>\u0000 </semantics></math>-D) switched systems with the weighted average dwell time strategy. The system is described using the renowned Fornasini-Marchesini local state-space model. The control signal for the switching mechanism incorporates time delays, which result in asynchronism between the controllers and subsystems. By using the weighted average dwell time strategy and a switched quasi-time-dependent Lyapunov functional method, sufficient conditions for stabilizing the <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mn>2</mn>\u0000 </mrow>\u0000 <annotation>$$ 2 $$</annotation>\u0000 </semantics></math>-D switched system with asynchronous switching are formulated. Based on the stabilization result, the state-feedback controllers are designed to ensure <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> performance and asymptotic stability of the corresponding closed-loop system. An illustrative example is presented to validate the efficacy of the proposed control scheme.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 15","pages":"6308-6318"},"PeriodicalIF":3.2,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145102241","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}

引用次数: 0

Correction to “Robust Second-Order Backstepping Design of Integrated Guidance and Control Based on a Fully Actuated System Approach” 对“基于全驱动系统方法的综合制导与控制鲁棒二阶反演设计”的修正

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-05-21 DOI: 10.1002/rnc.8038

{"title":"Correction to “Robust Second-Order Backstepping Design of Integrated Guidance and Control Based on a Fully Actuated System Approach”","authors":"","doi":"10.1002/rnc.8038","DOIUrl":"https://doi.org/10.1002/rnc.8038","url":null,"abstract":"<p>\u0000 <span>W. Wang</span>, <span>S. Chen</span>, <span>J. Fan</span>, and <span>H. Zhang</span>, “ <span>Robust Second-Order Backstepping Design of Integrated Guidance and Control Based on a Fully Actuated System Approach</span>,” <i>International Journal of Robust and Nonlinear Control</i> <span>35</span> (<span>2025</span>): <span>2933</span>–<span>2951</span>, https://doi.org/10.1002/rnc.7815.</p><p>Due to an update in our funding information which was not reflected in the original submission, the funding information in the published version of our article was inaccurate (National Key Research and Development Program Project of Construction and Support for high-level Innovative Teams of Beijing Municipal Institutions, Grant/Award Number: BPHR20220123; National Natural Science Foundation of China, Grant/Award Number: 52272358, 62,103,052; National Key Research and Development Program, Grant/Award Number: 2020YFC1511705).</p><p>The correct funding information is “<b>National Natural Science Foundation of China, Grant/Award Number: 52272358, 62103052; The Project of Construction and Support for high-level Innovative Teams of Beijing Municipal Institutions, Grant/Award Number: BPHR20220123</b>.”</p><p>We apologize for this error.</p>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 15","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/rnc.8038","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145102132","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}

引用次数: 0

Decentralized Resilient Finite-Time Control Using Partial Variables of Fractional-Order Interconnected Delayed Systems Under Stochastic Disturbances 随机干扰下分数阶互联延迟系统的局部变量分散弹性有限时间控制

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-05-21 DOI: 10.1002/rnc.8054

Zhongming Yu, Ketong Lu, Yue Sun, Xin Dai

{"title":"Decentralized Resilient Finite-Time Control Using Partial Variables of Fractional-Order Interconnected Delayed Systems Under Stochastic Disturbances","authors":"Zhongming Yu, Ketong Lu, Yue Sun, Xin Dai","doi":"10.1002/rnc.8054","DOIUrl":"https://doi.org/10.1002/rnc.8054","url":null,"abstract":"<div>\u0000 \u0000 <p>This article focuses on problems of stability and control of fractional-order interconnected delayed systems (FOIDSs) subject to stochastic disturbances. First, dynamical model for the FOIDSs under the stochastic disturbances is constructed. Simultaneously, a decentralized resilient finite-time control technique based on partial variables of the FOIDSs is put forward. This technique can not only make the system achieve stability within a limited time but also thrift the control cost and enhance the control flexibility. Second, some new lemmas are introduced, combining fractional calculus and Lyapunov function method, stability research of the FOIDSs is presented. In the meantime, novel stability results are developed. Range of the order <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>α</mi>\u0000 </mrow>\u0000 <annotation>$$ alpha $$</annotation>\u0000 </semantics></math> for the FOIDSs is further expanded. In addition, the obtained results are applicable not only to general FOIDSs but also to some real systems, for instance, interconnected power systems. Ultimately, the validity of the derived criteria is illustrated through a couple of numerical examples, and strengths of the proposed control approach are shown by means of comparison.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 15","pages":"6260-6274"},"PeriodicalIF":3.2,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145102131","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}

引用次数: 0

Asynchronous Control of Markovian Jump Cyber-Physical Systems Under Hidden Markov Deception Attacks Based on a Hybrid-Triggered Mechanism 基于混合触发机制的隐马尔可夫欺骗攻击下马尔可夫跳跃信息物理系统的异步控制

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-05-21 DOI: 10.1002/rnc.8041

Huimin Zhang, Xisheng Zhan, Lingli Cheng, Jie Wu

{"title":"Asynchronous Control of Markovian Jump Cyber-Physical Systems Under Hidden Markov Deception Attacks Based on a Hybrid-Triggered Mechanism","authors":"Huimin Zhang, Xisheng Zhan, Lingli Cheng, Jie Wu","doi":"10.1002/rnc.8041","DOIUrl":"https://doi.org/10.1002/rnc.8041","url":null,"abstract":"<div>\u0000 \u0000 <p>This article delves into the problem of secure asynchronous control of Markovian jump cyber-physical systems (MJCPS) in the presence of Hidden Markov deception attacks. Firstly, Markovian random variables are introduced to characterize deception attacks, and an asynchronous controller model is subsequently designed. Secondly, a hybrid-triggered mechanism is used to reduce the frequency of controller updates to save limited network bandwidth. Thirdly, we prove the stochastic stability of the system by constructing Lyapunov functions tailored to the system's modes, which establishes a sufficient condition for the system to meet the <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>$$ {mathscr{H}}_{infty } $$</annotation>\u0000 </semantics></math> performance metric. The design of the controller is based on the obtained linear matrix inequalities. Finally, we simulate an example to illustrate the effectiveness of the proposed method.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 15","pages":"6251-6259"},"PeriodicalIF":3.2,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145102326","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}

引用次数: 0

Prescribed-Time Optimal Adaptive Tracking Control via Command Filters for Uncertain Multiagent Systems 基于命令滤波的不确定多智能体系统规定时间最优自适应跟踪控制

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-05-20 DOI: 10.1002/rnc.8042

Xiaolang Tian, Tianping Zhang

{"title":"Prescribed-Time Optimal Adaptive Tracking Control via Command Filters for Uncertain Multiagent Systems","authors":"Xiaolang Tian, Tianping Zhang","doi":"10.1002/rnc.8042","DOIUrl":"https://doi.org/10.1002/rnc.8042","url":null,"abstract":"<div>\u0000 \u0000 <p>This article focuses on the issue of the prescribed-time optimal control for strict-feedback nonlinear multiagent systems with unknown time-varying parameters and unmodeled dynamics. Based on command-filtered backstepping, the controller is divided into two parts including feedforward and optimal feedback controllers. The former adopts dynamic surface control framework, in which a dynamic signal is used to dispose of unmodeled dynamics and a compensation signal is introduced on the basis of dynamic surface control to eliminate the filter errors. In addition, a novel prescribed-time scaling function and coordinate transformation are introduced. The latter adopts the adaptive dynamic programming methodology and an auxiliary dynamic system is generated to optimize the value function. Meanwhile, integral reinforcement learning technology is incorporated into adaptive dynamic programming structure to address the situation of unknown system's drift dynamics and time-varying parameters. The theoretical study leads to the following conclusion that the closed-loop system is semiglobally uniformly ultimately bounded, and the consensus errors can be restricted to a predefined region within a predefined time. In the interim, minimization is achieved in the cost functions. Lastly, the simulation results are given to show that the proposed adaptive control strategy is feasible.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 14","pages":"6157-6174"},"PeriodicalIF":3.2,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145102207","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}

引用次数: 0