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

Distributed Optimization for Heterogenous Multi-Agent Systems Under DoS Attacks: Resilient Double-Layer Sampling Filtering Framework DoS攻击下异构多智能体系统的分布式优化：弹性双层采样过滤框架

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-01-26 DOI: 10.1002/rnc.7840

Han-Yu Wu, Qingshan Liu, Ju H. Park

引用次数: 0

Time-Coordinated Motion Planning for Multiple Unmanned Vehicles Using Distributed Model Predictive Control and Sequential Convex Programming 基于分布式模型预测控制和序贯凸规划的多无人机时间协调运动规划

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-01-26 DOI: 10.1002/rnc.7838

Xiaoming Liu, Fuchun Wu, Yunshan Deng, Ming Wang, Yuanqing Xia

{"title":"Time-Coordinated Motion Planning for Multiple Unmanned Vehicles Using Distributed Model Predictive Control and Sequential Convex Programming","authors":"Xiaoming Liu, Fuchun Wu, Yunshan Deng, Ming Wang, Yuanqing Xia","doi":"10.1002/rnc.7838","DOIUrl":"https://doi.org/10.1002/rnc.7838","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper introduces an integrated approach for time-coordinated motion planning of multiple unmanned vehicles using distributed model predictive control (DMPC) and sequential convex programming (SCP). This approach employs a unified framework that integrates trajectory planning and tracking into a single optimization problem, effectively expanding the domain of attraction for the MPC controller and addressing the challenge of time-coordination among multiple vehicles. Non-uniform discrete time scales are introduced to mitigate the dimensionality of the optimization problem, thereby enhancing computational efficiency. By combining the ability of DMPC to distribute computational efforts across multiple vehicles with the iterative convexification method of SCP, our approach efficiently handles the complexities of non-linear optimization. Theoretical analysis has confirmed the feasibility and stability of the proposed method. Based on this approach, the time-coordinated sequential convex programming-based distributed model predictive control (TC-SCP-DMPC) algorithm is proposed. Numerical simulations are conducted to validate the effectiveness and efficiency of the proposed algorithm in achieving time-coordinated control of multiple unmanned vehicles.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 8","pages":"3240-3255"},"PeriodicalIF":3.2,"publicationDate":"2025-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143822163","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

Secure Control of Networked Control Systems Under Replay Attacks: A Switching-Like Approach 重放攻击下网络控制系统的安全控制：一种类似开关的方法

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-01-26 DOI: 10.1002/rnc.7843

Xian Du, Feiyue Wu, Jie Lian

{"title":"Secure Control of Networked Control Systems Under Replay Attacks: A Switching-Like Approach","authors":"Xian Du, Feiyue Wu, Jie Lian","doi":"10.1002/rnc.7843","DOIUrl":"https://doi.org/10.1002/rnc.7843","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper focuses on the secure control design of networked control systems (NCSs) under replay attacks. Mitigating replay attacks is a challenging task since the statistical similarity between replayed signals and real observations makes them difficult to distinguish. Given the persistence of potential attackers and the probability of individual attack failures, a novel switching-based replay attack model is introduced. By employing this replay attack model, NCSs vulnerable to replay attacks can be transformed into a class of switching-like systems. Within the framework of the average dwell time switching strategy and multiple Lyapunov stability theory, sufficient conditions for the mean-square exponential stability of the underlying system are presented. Compared with the existing control schemes using the delay-based replay attack model, the proposed secure control method effectively reduces the impact of replay attacks on the control performance. The effectiveness of the proposed approach is validated through simulation experiments carried out on two practical systems.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 8","pages":"3317-3328"},"PeriodicalIF":3.2,"publicationDate":"2025-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143822165","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

Observer-Based Containment Control for Linear Parameter-Varying Multi-Agent Systems 线性变参数多智能体系统的观测器约束控制

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-01-23 DOI: 10.1002/rnc.7817

Yanjie Liu, Zhi Li

引用次数: 0

Data-Driven Stealthy Attacks Detection in Cyber-Physical Systems Based on Complex Dynamical Networks Encoding Strategy 基于复杂动态网络编码策略的信息物理系统数据驱动隐身攻击检测

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-01-23 DOI: 10.1002/rnc.7830

Jun-Lan Wang, Xiao-Jian Li

{"title":"Data-Driven Stealthy Attacks Detection in Cyber-Physical Systems Based on Complex Dynamical Networks Encoding Strategy","authors":"Jun-Lan Wang, Xiao-Jian Li","doi":"10.1002/rnc.7830","DOIUrl":"https://doi.org/10.1002/rnc.7830","url":null,"abstract":"<div>\u0000 \u0000 <p>This article develops a novel data-driven stealthy attack detection strategy for a class of cyber-physical systems (CPSs) with external disturbances. First, it is proved that there exists a class of data-driven stealthy attacks designed by the subspace identification method, which cannot be detected by the existing detection protocols including the constant matrix-based encoding strategy. Then, in order to overcome this difficulty, the complex dynamical networks (CDNs) and the encoding/decoding technique are introduced to detect the data-driven stealthy attacks. In particular, the synchronization technique is adopted to ensure the consistency of the key sequences in encoding/decoding process, so that the encoded information on the decoder can be correctly recovered without attacks. In addition, the case of information leakage is analyzed, and it is demonstrated that the existing encoding detection strategy based on single node chaotic systems is ineffective, while the proposed one enhances the complexity of the encoding link and can still distinguish the stealthy attacks. In the end, simulations for the model of a DC motor system are performed to verify the effectiveness of the presented CDNs-based encoding detection scheme.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 8","pages":"3154-3165"},"PeriodicalIF":3.2,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143822132","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

Finite-Time Adaptive Tracking Control for Non-Linear Networked Control Systems With Prescribed Performance Under Unknown Deception Attacks 给定性能非线性网络控制系统在未知欺骗攻击下的有限时间自适应跟踪控制

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-01-22 DOI: 10.1002/rnc.7831

Xia Zou, Ruonan Liu, Guangdeng Zong, Wencheng Wang

{"title":"Finite-Time Adaptive Tracking Control for Non-Linear Networked Control Systems With Prescribed Performance Under Unknown Deception Attacks","authors":"Xia Zou, Ruonan Liu, Guangdeng Zong, Wencheng Wang","doi":"10.1002/rnc.7831","DOIUrl":"https://doi.org/10.1002/rnc.7831","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper investigates the finite-time adaptive tracking control problem for non-linear networked control systems with prescribed performance under unknown deception attacks. To mitigate the effects caused by unknown deception attacks, a series of auxiliary signals and attack compensators are reasonably constructed to overcome the unavailability problem of the compromised state variables. Besides, the neural network approximation technique is utilized to address unknown non-linear terms and actuator deception attacks. Further, an equivalent system model is acquired by introducing the intermediate transformations of the tracking error and the prescribed performance function. Then, a finite-time adaptive tracking controller is designed based on the neural network and the backstepping techniques. Moreover, it is mathematically rigorously proved that all the signals of the closed-loop system are bounded and the tracking error converges within the predefined boundary in a finite-time. Finally, an example application of a single-link robotic arm system is applied to verify the effectiveness of the designed control algorithm.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 8","pages":"3166-3176"},"PeriodicalIF":3.2,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143822094","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

Efficient Path Following Control Design for Tractor With Multiple Trailers Systems Utilizing Movement Rules and Passive Multi-Steering Angles 基于运动规则和被动多转向角的多挂车系统有效路径跟踪控制设计

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-01-22 DOI: 10.1002/rnc.7844

Yusheng Zhou

{"title":"Efficient Path Following Control Design for Tractor With Multiple Trailers Systems Utilizing Movement Rules and Passive Multi-Steering Angles","authors":"Yusheng Zhou","doi":"10.1002/rnc.7844","DOIUrl":"https://doi.org/10.1002/rnc.7844","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper proposes a straightforward and robust control strategy for a tractor with multiple trailers system (TMTS, for short) to effectively follow identical paths. Hereto, the control design is structured into four steps for path-tracking precision. Firstly, a suitable passive steering angle is assigned to each trailer, granting it some steering capability to follow the moving path of its direct leader. Secondly, movement rules of the TMTS with passive multi-steering angles are explored in-depth for the first time, facilitating the convenient deduction of kinematic and dynamic models. Thirdly, a desired movement task of the TMTS is reduced to a tracking control by the tractor through the implementation of suitable passive steering angles. Additionally, by virtue of a curvature tracking method, cumulative location errors could be greatly reduced by tracking the relative curvature. Fourthly, a combination of feedback linearization, optimal control, and integral sliding mode control methods is employed to design two driven torques for the tractor to precisely follow the geometric path. Consequently, both the tractor and all trailers are capable of simultaneously following an identical path. In the end, numerical simulations are presented to demonstrate the effectiveness, feasibility, and robustness of the resulting control strategy for practical applications.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 8","pages":"3280-3296"},"PeriodicalIF":3.2,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143822091","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

Robust Sliding Mode Control for a Class of Gantry Crane System With Time-Varying Disturbances 一类具有时变扰动的龙门起重机系统的鲁棒滑模控制

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-01-22 DOI: 10.1002/rnc.7825

Jiayang Zhang, Wei Wu

引用次数: 0

Finite-Time Input-To-State Stability for Infinite-Dimensional Systems 无限维系统的有限时间输入-状态稳定性

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-01-21 DOI: 10.1002/rnc.7829

Xiaorong Sun, Jun Zheng, Guchuan Zhu

引用次数: 0

Robust Adaptive Control for High-Order Nonlinear Systems With Unknown Upper Bound Uncertainties Based on Fully Actuated System Approaches and Multi-Objective Optimization 基于全驱动系统方法和多目标优化的未知上界不确定高阶非线性系统鲁棒自适应控制

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-01-21 DOI: 10.1002/rnc.7833

Da-Ke Gu, Hao-Meng Li, Yin-Dong Liu

{"title":"Robust Adaptive Control for High-Order Nonlinear Systems With Unknown Upper Bound Uncertainties Based on Fully Actuated System Approaches and Multi-Objective Optimization","authors":"Da-Ke Gu, Hao-Meng Li, Yin-Dong Liu","doi":"10.1002/rnc.7833","DOIUrl":"https://doi.org/10.1002/rnc.7833","url":null,"abstract":"<div>\u0000 \u0000 <p>This study focuses on the design of a robust adaptive (RA) controller and a robust adaptive tracking (RAT) controller for high-order nonlinear systems that have unknown upper bound time-varying uncertainties. Utilizing the high-order fully actuated (HOFA) system approaches and Lyapunov stability theory, the proposed RA and RAT controllers are capable of overcoming system uncertainties, while also automatically adjusting parameter estimates associated with the unknown upper bound uncertainties. The proposed controllers ensure that both the state of the closed-loop system and the estimation error of the parameter vector converge globally to a bounded ellipsoid. Furthermore, the degrees of freedom provided by the HOFA system method is utilized for regional pole assignment, and an objective function is designed to ensure stability and enhance system performance. Finally, the effectiveness and practicality of the proposed control method are demonstrated through simulation examples, including a two-link manipulator.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 8","pages":"3177-3191"},"PeriodicalIF":3.2,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143822306","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