International Journal of Robust and Nonlinear Control最新文献_第2页

Optimized Backstepping Fault-Tolerant Control for a Class of Nonlinear Strict-Feedback Systems Subjected to Sensor Faults 一类传感器故障非线性严格反馈系统的优化反步容错控制

IF 3.1 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2026-10-12 Epub Date: 2026-07-16 DOI: 10.1002/rnc.70673

Mengyao Yu, Lixia Liu, Guoxing Wen

引用次数: 0

Adaptive Prescribed-Time Control for Nonlinear Systems With Triggered States 具有触发状态非线性系统的自适应规定时间控制

IF 3.1 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2026-10-12 Epub Date: 2026-07-26 DOI: 10.1002/rnc.70675

Liuliu Zhang, Xinxin Fang, Cheng Qian, Changchun Hua

引用次数: 0

Optimization-Free Safety and Task Execution for High-Order Multi-Agent Systems via STL-Guided Auxiliary Reference Governor 基于stl引导的辅助参考调速器的高阶多智能体系统的无优化安全性和任务执行

IF 3.1 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2026-10-12 Epub Date: 2026-07-19 DOI: 10.1002/rnc.70679

Penghong Lu, Zhenpeng Lao, Jiarui Zhang, Peng Wei, Gang Chen

{"title":"Optimization-Free Safety and Task Execution for High-Order Multi-Agent Systems via STL-Guided Auxiliary Reference Governor","authors":"Penghong Lu, Zhenpeng Lao, Jiarui Zhang, Peng Wei, Gang Chen","doi":"10.1002/rnc.70679","DOIUrl":"https://doi.org/10.1002/rnc.70679","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper presents an optimization-free control framework for high-order multi-agent systems that ensures both safety and task execution under Signal Temporal Logic specifications. The proposed approach integrates STL predicates into a dynamic auxiliary reference governor structure, enabling the transformation of high-relative-degree safety constraints into tractable first-order control barrier function formulations. A dynamic safety margin and navigation field are designed to guide each agent toward its STL goals while respecting actuation limits and avoiding dynamic obstacles. Unlike conventional high-order CBF or quadratic programs-based controllers, our method yields closed-form control laws. This approach effectively overcomes the computational bottlenecks associated with online optimization, thereby significantly improving scalability and ensuring real-time performance for high-order multi-agent systems. The framework supports decentralized execution, allowing agents to operate independently with guaranteed safety and task satisfaction in dynamic, shared environments. Simulation results validate the effectiveness and efficiency of the proposed control scheme in comparison to existing methods.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"36 17","pages":"7652-7664"},"PeriodicalIF":3.1,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149177132","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

Data-Driven Control of Discrete-Time Two-Dimensional Systems With Noisy Data 具有噪声数据的离散二维系统的数据驱动控制

IF 3.1 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2026-10-12 Epub Date: 2026-07-23 DOI: 10.1002/rnc.70685

Rongni Yang, Runmin Yang, Renjie Ma, Wei Xing Zheng

{"title":"Data-Driven Control of Discrete-Time Two-Dimensional Systems With Noisy Data","authors":"Rongni Yang, Runmin Yang, Renjie Ma, Wei Xing Zheng","doi":"10.1002/rnc.70685","DOIUrl":"https://doi.org/10.1002/rnc.70685","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper considers the stabilization issue of unknown two-dimensional (2-D) Fornasini–Marchesini (FM) systems with noisy data. Note that existing results on 2-D systems require accurate system models, which are almost impossible to be obtained in practice. Within this context, a robust data-based control strategy for unknown 2-D FM systems is put forward herein. First, based on the data collection of 2-D input and state measurements, the data-based representation is established for a set of 2-D FM systems consistent with these sampled data, leading to the purpose of stabilizing such a set of data-consistent 2-D dynamics with robustness. Then, the noisy data embedded in the set of data-consistent 2-D dynamics is expressed by virtue of a matrix ellipsoid, which motivates the potential of applying Petersen's lemma to cope with the noise impacts in the closed loop. Next, data-driven sufficient conditions on ensuring the stability of 2-D FM systems are developed, and the feasibility of such convex programming leads to the control strategy synthesis with data informativity. Finally, the effectiveness and applicability of the developed data-based 2-D control scheme are verified by the case study of the Darboux equation.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"36 17","pages":"7708-7716"},"PeriodicalIF":3.1,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149177488","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

Nonfragile Observer-Based Tracking Control for Unmanned Surface Vessels in Discrete-Time Complex Dynamics With Time-Delay and Markovian Switching 具有时滞和马尔可夫切换的离散复杂动态无人水面舰船非脆弱观测器跟踪控制

IF 3.1 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2026-10-12 Epub Date: 2026-07-18 DOI: 10.1002/rnc.70671

Xinyuan Long, Hua Chen, Jinhai Zheng, Jisheng Zhang, Mi-An Xue, Yun Chen

{"title":"Nonfragile Observer-Based Tracking Control for Unmanned Surface Vessels in Discrete-Time Complex Dynamics With Time-Delay and Markovian Switching","authors":"Xinyuan Long, Hua Chen, Jinhai Zheng, Jisheng Zhang, Mi-An Xue, Yun Chen","doi":"10.1002/rnc.70671","DOIUrl":"https://doi.org/10.1002/rnc.70671","url":null,"abstract":"<div>\u0000 \u0000 <p>In this paper, a nonfragile observer-based control strategy is provided, which addresses the dual challenges of networked unmanned surface vessels (USVs) systems with time-delay and Markovian switching under discrete-time complex dynamic environments. First, to model the system accurately, the underactuated USV model is converted into a cascade form that is discretized using Euler's discretization method, establishing the system equation and effectively decoupling the complex nonlinear interactions. Furthermore, considering disturbances such as wind, waves, currents, time delays and random switching mechanisms, a state-space framework of the Takagi-Sugeno (T-S) fuzzy dynamics plant with Markovian switching is presented comprehensively. In addition, the observer is designed and nonfragile observer-based controller is provided to theoretically guarantee that the closed-loop system is globally, asymptotically mean-square stable via rigorous Lyapunov-based analysis and linear matrix inequalities (LMIs). Lastly, numerical validations are carried out, and the comparative assessments demonstrate that the proposed method achieves superior tracking accuracy and robustness compared to traditional controllers.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"36 17","pages":"7609-7626"},"PeriodicalIF":3.1,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149177640","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

Tracking Control for Affine Nonlinear Systems: A Non-Zero-Sum Game Approach With Incomplete Discount Factors 仿射非线性系统的跟踪控制：具有不完全折扣因子的非零和博弈方法

IF 3.1 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2026-10-06 Epub Date: 2026-07-09 DOI: 10.1002/rnc.70650

Gonghe Li, Xiaomin Liu, Linna Zhou, Chunyu Yang

{"title":"Tracking Control for Affine Nonlinear Systems: A Non-Zero-Sum Game Approach With Incomplete Discount Factors","authors":"Gonghe Li, Xiaomin Liu, Linna Zhou, Chunyu Yang","doi":"10.1002/rnc.70650","DOIUrl":"https://doi.org/10.1002/rnc.70650","url":null,"abstract":"<div>\u0000 \u0000 <p>In optimal tracking control problems for affine nonlinear systems, the nonzero steady-state control input often leads to an unbounded infinite-horizon cost function, which makes it difficult to achieve asymptotic convergence of tracking errors. This paper reformulates the non-zero-sum game framework of the tracking control problem and proposes a control method utilizing incomplete discount factors, achieving asymptotic convergence of the tracking error for affine nonlinear systems with respect to any bounded reference trajectory. The cost functions corresponding to the steady-state and transient components are constructed to meet the control objectives while simultaneously seeking a Nash equilibrium solution. The actor-critic structure approximates each participant and their respective cost function independently. Coupled Hamilton-Jacobi (HJ) equations are addressed using input-output data without explicit system models, and the least squares method updates neural networks (NNs) weights concurrently. Simulation results demonstrate that this approach achieves reduced tracking errors compared to traditional methods that use a discount factor.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"36 16","pages":"7379-7391"},"PeriodicalIF":3.1,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149100227","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

Modeling and Prediction of Nonlinear Dynamic System Models by Deep Neural Networks and Koopman-Based Subspace Identification 基于深度神经网络和koopman子空间辨识的非线性动态系统模型建模与预测

IF 3.1 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2026-10-06 Epub Date: 2026-07-15 DOI: 10.1002/rnc.70658

Zixiang Yuan, Jie Ding, Dezhi Shen, Min Xiao

{"title":"Modeling and Prediction of Nonlinear Dynamic System Models by Deep Neural Networks and Koopman-Based Subspace Identification","authors":"Zixiang Yuan, Jie Ding, Dezhi Shen, Min Xiao","doi":"10.1002/rnc.70658","DOIUrl":"https://doi.org/10.1002/rnc.70658","url":null,"abstract":"<div>\u0000 \u0000 <p>Traditional methods for modelling nonlinear dynamic systems often suffer from high computational complexity and limited prediction accuracy. To address these challenges, this paper proposes a novel Koopman operator-based framework that integrates deep neural networks with subspace identification. The core idea of the framework is to decouple the overall modeling task by assigning distinct roles to its components: the deep neural network is dedicated to learning the nonlinear lifting map, while subspace identification handles the linear dynamic evolution in the lifted space. This approach improves computational efficiency while preserving model interpretability. Comparative experiments on both weakly nonlinear and strongly nonlinear systems show that the proposed method achieves high modeling accuracy with significantly reduced errors. Further theoretical stability analysis and validation under parameter perturbations confirm the reliability of the proposed approach, offering an effective and robust solution for nonlinear system modeling.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"36 16","pages":"7529-7544"},"PeriodicalIF":3.1,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149100200","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

Control Design Based on Generalized Lur'e Lyapunov Functions for Sampled-Data Lur'e Systems 基于广义Lur'e Lyapunov函数的采样数据Lur'e系统控制设计

IF 3.1 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2026-10-06 Epub Date: 2026-07-12 DOI: 10.1002/rnc.70600

Arthur Scolari Fagundes, João Manoel Gomes da Silva Jr., Sophie Tarbouriech

引用次数: 0

Zero-Order-Hold-Triggered Gain Scheduling Control of Nonlinear Time-Varying Systems With Exogenous Signals 具有外源信号的非线性时变系统的零阶保持器触发增益调度控制

IF 3.1 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2026-10-06 Epub Date: 2026-07-14 DOI: 10.1002/rnc.70663

Min-Seok Kwak, Ho-Lim Choi

引用次数: 0

Observer-Based Dynamic Event-Triggered Control for Cyber-Physical Systems Subject to Multi-Channel Hybrid Cyber-Attacks 多通道混合网络攻击下基于观测器的网络物理系统动态事件触发控制

IF 3.1 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2026-10-06 Epub Date: 2026-07-09 DOI: 10.1002/rnc.70643

Han Li, Qingsheng Yang, Xi-Sheng Zhan, Lingli Cheng, Bo Wu

{"title":"Observer-Based Dynamic Event-Triggered Control for Cyber-Physical Systems Subject to Multi-Channel Hybrid Cyber-Attacks","authors":"Han Li, Qingsheng Yang, Xi-Sheng Zhan, Lingli Cheng, Bo Wu","doi":"10.1002/rnc.70643","DOIUrl":"https://doi.org/10.1002/rnc.70643","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper focuses on the dynamic event-triggered mechanism (DETM) of the Cyber-Physical-Systems (CPSs) under multi-channel hybrid cyber-attacks based on the observer. The hybrid cyber-attack in this article contains Denial of Service (DoS) attacks, deception attacks, and replay attacks, which do not affect each other and attack the network channel. By constructing DETM, Lyapunov equation and linear matrix inequality (LMI), the system maintains 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>$$ {H}_{infty } $$</annotation>\u0000 </semantics></math> performance of suppressing external disturbances and the <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <msub>\u0000 <mrow>\u0000 <mi>H</mi>\u0000 </mrow>\u0000 <mrow>\u0000 <mn>2</mn>\u0000 </mrow>\u0000 </msub>\u0000 </mrow>\u0000 <annotation>$$ {H}_2 $$</annotation>\u0000 </semantics></math> performance of constraining output energy. In the case where the system status is difficult to observe directly, an observer is introduced to estimate the system status. Finally, the effectiveness of the above method is verified by a simulation example.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"36 16","pages":"7368-7378"},"PeriodicalIF":3.1,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149100223","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