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

Input-To-State Stability of Switched Systems Under the New Mode-Dependent Dynamic Event-Triggered Impulsive Control 新型模相关动态事件触发脉冲控制下切换系统的输入-状态稳定性

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-02-20 DOI: 10.1002/rnc.7875

Lijun Gao, Mengjie Li, Suo Yang

{"title":"Input-To-State Stability of Switched Systems Under the New Mode-Dependent Dynamic Event-Triggered Impulsive Control","authors":"Lijun Gao, Mengjie Li, Suo Yang","doi":"10.1002/rnc.7875","DOIUrl":"https://doi.org/10.1002/rnc.7875","url":null,"abstract":"<div>\u0000 \u0000 <p>The aim of this article is to study non-linear switched systems and obtain conditions of input-to-state stability (ISS) via dynamic event-triggered impulsive control (DETIC) scheme, where the impulse instants are produced by a novel mode-dependent dynamic event-triggered impulsive mechanism (MD-DETIM). The switching instants may not be synchronized with the event triggering instants. Different from conventional static event-triggered impulsive control (ETIC), the MD-DETIM can greatly decrease the number of data updates and significantly save communication transmission resource. Based on the mode-dependent dynamic event-triggered impulsive control (MD-DETIC) scheme and the admissible edge-dependent average dwell time switching rule, Lyapunov-based results are created, which can effectively guarantee ISS of non-linear switched systems. Meanwhile, a positive minimum bound is needed to obtain for triggering interval between any two adjacent triggering instants to exclude Zeno behavior. Eventually, two examples are provided to explicate the validity and less conservativeness of conclusions in this paper.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 9","pages":"3715-3727"},"PeriodicalIF":3.2,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914653","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

Containment Control for Non-Linear Multi-Agent Systems Under Distributed Event-Triggering Intermittent Schemes 分布式事件触发间歇方案下非线性多智能体系统的包容控制

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-02-19 DOI: 10.1002/rnc.7879

Zhihan Ma, Dong Ding, Ze Tang

引用次数: 0

Adaptive Tracking Control of Switched Stochastic Non-Linear Systems With Full State Constraints: A MDADT Switching Method 具有全状态约束的切换随机非线性系统的自适应跟踪控制：一种MDADT切换方法

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-02-19 DOI: 10.1002/rnc.7880

Meng-Ru Kong, Yan-Wu Wang, Ze-Hong Zeng, Xiao-Kang Liu

引用次数: 0

Delayed Sampled Impulsive Observer Design for a Class of Non-Affine Nonlinear Systems With Aperiodic Sampled and Delayed Measurements 一类具有非周期采样和延迟测量的非仿射非线性系统的延迟采样脉冲观测器设计

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-02-18 DOI: 10.1002/rnc.7842

Xincheng Zhuang, Haoping Wang, Yang Tian

引用次数: 0

Distributed Adaptive Tracking Control for Non-Linearly Parameterized Time-Varying Multi-Agent Systems 非线性参数化时变多智能体系统的分布式自适应跟踪控制

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-02-18 DOI: 10.1002/rnc.7878

Meiqiao Wang, Wuquan Li

引用次数: 0

Self-Triggered Model Predictive Control for Interval Type-2 T-S Fuzzy Systems: A Co-Design Approach 区间2型T-S模糊系统自触发模型预测控制：一种协同设计方法

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-02-12 DOI: 10.1002/rnc.7857

Yuying Dong, Yan Song, Yuan Yuan, Jiliang Luo, Huanhuan Yuan

{"title":"Self-Triggered Model Predictive Control for Interval Type-2 T-S Fuzzy Systems: A Co-Design Approach","authors":"Yuying Dong, Yan Song, Yuan Yuan, Jiliang Luo, Huanhuan Yuan","doi":"10.1002/rnc.7857","DOIUrl":"https://doi.org/10.1002/rnc.7857","url":null,"abstract":"<div>\u0000 \u0000 <p>In this article, the fuzzy model predictive control (FMPC) problem is investigated for a class of non-linear systems in an interval type-2 Takagi–Sugeno (IT2 T-S) fuzzy form subject to hard constraints. To save transmission energy and reduce the calculation burden, a self-triggering scheme is incorporated into the FMPC strategy, which gives rise to the so-called self-triggered FMPC strategy. Based on the characteristics of the self-triggered FMPC strategy, the self-triggering instants rather than sampling instants are employed to construct the corresponding quadratic function and time-varying terminal constraint-like (TC-like) set. Then, to maximize triggering intervals and minimize the cost function, the fuzzy property and the self-triggering instants are fully considered to formulate a “min-max” problem over the infinite-time horizon, through which the feedback gain and next triggering instant are co-designed. Furthermore, the difference between the proposed quadratic functions of adjacent self-triggering instants is established, which contributes greatly to finding a certain upper bound of the objective function over the infinite-time horizon. Moreover, certain auxiliary optimization problems are developed for solvability and sufficient conditions are provided to ensure the asymptotic stability of the underlying IT2 T-S fuzzy system. Finally, two simulation examples are utilized to illustrate the validity of the proposed self-triggered IT2 T-S FMPC strategy.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 9","pages":"3471-3483"},"PeriodicalIF":3.2,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914286","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

Nonlinear Boundary Control and Estimation of Distributed States in a Flexible Manipulator 柔性机械臂的非线性边界控制及分布状态估计

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-02-12 DOI: 10.1002/rnc.7872

S. Yaqubi, J. Mattila

{"title":"Nonlinear Boundary Control and Estimation of Distributed States in a Flexible Manipulator","authors":"S. Yaqubi, J. Mattila","doi":"10.1002/rnc.7872","DOIUrl":"https://doi.org/10.1002/rnc.7872","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper presents a novel method for partial differential equation (PDE) endpoint control of a flexible manipulator, without using any form of mathematical simplification in PDE-based calculations. It simultaneously addresses the issue of the unavailability of distributed states in an infinite-dimensional flexible dynamic system. This two-fold approach allows for the incorporation of estimated data describing the pose of the flexible manipulator into a model-based PDE control scheme, facilitating convenient stability analysis and model-based control design. This is achieved while maintaining the easily attainable measurement requirements of standard boundary control techniques, which involve the installation of sensors solely at the manipulator's endpoint. To this end, initially a practical, stability-proofed distributed state observer is presented which is capable of estimating the deflection of the link throughout the length of the flexible arm based on a nonlinear PDE model. To reduce design complexity and the intensity of implementation, the observation is conducted using a novel partial state observer, which relies on a reduced number of system equations corresponding to the distributed state measurement error. Subsequently, the estimated states are used to construct a boundary controller for state tracking and the elimination of endpoint deflection, resulting in precise endpoint control. Furthermore, inevitable deviations from the nominal model are considered, ensuring the boundedness of the closed-loop system response in the presence of parametric uncertainties through an adaptive design. A rigorous stability analysis of all elements of the closed-loop systems incorporating PDE models is conducted based on Lyapunov stability theory and the extended LaSalle's invariance principle for infinite-dimensional systems. Numerical simulations and analysis demonstrate the precision and efficiency of the proposed solutions.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 9","pages":"3658-3677"},"PeriodicalIF":3.2,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914646","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

Position-Feedback Integral IDA-PBC for Constant Matched and Unmatched Disturbances 常匹配和不匹配扰动的位置反馈积分IDA-PBC

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-02-12 DOI: 10.1002/rnc.7870

Enrico Franco, Mutaz Ryalat

引用次数: 0

Finite-Time Adaptive Fuzzy Prescribed Performance Control for Teleoperation With Asymmetric Time Delays and Uncertainties 具有不对称时间延迟和不确定性的远程操作的有限时间自适应模糊规定性能控制

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-02-10 DOI: 10.1002/rnc.7818

Hang Li, Wusheng Chou, Lingda Meng

引用次数: 0

Dynamic Event-Triggered Adaptive Neural Network Control for Stochastic Nonholonomic Uncertain Systems 随机非完整不确定系统的动态事件触发自适应神经网络控制

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2025-02-10 DOI: 10.1002/rnc.7869

Qinghui Du, Sitian Wang, Quanxin Zhu

{"title":"Dynamic Event-Triggered Adaptive Neural Network Control for Stochastic Nonholonomic Uncertain Systems","authors":"Qinghui Du, Sitian Wang, Quanxin Zhu","doi":"10.1002/rnc.7869","DOIUrl":"https://doi.org/10.1002/rnc.7869","url":null,"abstract":"<div>\u0000 \u0000 <p>In this article, we construct a dynamic event-triggered adaptive control strategy for a class of stochastic nonholonomic uncertain systems. The dynamic event-triggered mechanism can make the threshold adjustable, which is firstly considered for stochastic nonholonomic uncertain systems to conserve communication resources. We propose a state-input scaling transformation that converts the stochastic nonholonomic uncertain systems into a new form that facilitates controller design. By introducing a novel auxiliary dynamic variable to design a dynamic event-triggered mechanism (DETM) and defining a suitable parameter, we propose a new dynamic event-triggered adaptive neural network controller, which contains only one adaptive law. It is shown that the proposed control strategy can greatly reduce the computational complexity and communication burden, and the input-to-state stability (ISS) assumption is no longer needed. Simultaneously, all signals in the closed-loop system are ensured to be uniformly ultimately bounded (UUB) in probability. Then, the uncontrollability phenomenon is eliminated by constructing an adaptive event-triggered control-based switching strategy. In addition, the efficacy of the proposed controller is demonstrated through simulation results.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 9","pages":"3610-3622"},"PeriodicalIF":3.2,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143913977","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