International Journal of Robust and Nonlinear Control最新文献_第6页

Data‐driven adaptive resilient funnel consensus tracking of multiagent systems under jamming attacks 干扰攻击下多代理系统的数据驱动自适应弹性漏斗共识追踪

IF 3.9 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2024-08-15 DOI: 10.1002/rnc.7593

Shan‐Shan Sun, Yuan‐Xin Li

引用次数: 0

Set input-to-state stability for nonlinear time-delay systems with disturbances 设置有扰动的非线性时延系统的输入到状态稳定性

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2024-08-14 DOI: 10.1002/rnc.7582

Pallavi Sinha, Irinel-Constantin Morarescu, Sukumar Srikant

引用次数: 0

An advanced robust integral reinforcement learning scheme with the fuzzy inference system 采用模糊推理系统的先进稳健积分强化学习方案

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2024-08-14 DOI: 10.1002/rnc.7595

Ao Liu, Ding Wang, Junfei Qiao

引用次数: 0

Accurate trajectory tracking control for AUV under state constraints with a rapid stability dimensionality-augmented state observer 利用快速稳定维度增强状态观测器实现状态约束条件下 AUV 的精确轨迹跟踪控制

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2024-08-14 DOI: 10.1002/rnc.7591

Jianhui Wang, Haoyuan Wang, Zikai Hu, Jiarui Liu, Kairui Chen

引用次数: 0

Dynamic gain adaptive control for uncertain nonlinear systems with actuator and sensor faults 具有执行器和传感器故障的不确定非线性系统的动态增益自适应控制

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2024-08-13 DOI: 10.1002/rnc.7562

Changchun Hua, Wenwen Li, Hao Li, Pengju Ning

引用次数: 0

Prescribed-time consensus for multi-agent systems using finite switching time-varying gain 使用有限开关时变增益的多代理系统的规定时间共识

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2024-08-13 DOI: 10.1002/rnc.7570

Yinsheng Li, Bing Wang, Yuquan Chen

引用次数: 0

Data-driven prescribed performance platooning sliding mode control under DoS attacks DoS 攻击下的数据驱动规定性能排布滑模控制

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2024-08-12 DOI: 10.1002/rnc.7583

Peng Zhang, Wei-Wei Che

{"title":"Data-driven prescribed performance platooning sliding mode control under DoS attacks","authors":"Peng Zhang, Wei-Wei Che","doi":"10.1002/rnc.7583","DOIUrl":"10.1002/rnc.7583","url":null,"abstract":"<div>\u0000 \u0000 <p>In this paper, a prescribed performance model-free adaptive platooning sliding mode control (PP-MFAP-SMC) problem for the nonlinear vehicular platooning systems (VPSs) under denial-of-service (DoS) attacks is studied. Firstly, the partial form dynamic linearization (PFDL) technique is employed to convert the nonlinear VPSs into an equivalent linear data model, in which the nonlinear features of the VPSs are compressed into an unknown time-varying pseudo gradient (PG) vector. Then, an observer is devised to acquire the estimation value of the unknown time-varying PG vector. To lower the complication of the design, the constrained tracking error is converted into the unconstrained one. Based on which, the sliding mode control (SMC) strategy is proposed to enhance the robustness of the VPSs. Further, a PP-MFAP-SMC algorithm with an attack compensation mechanism is developed to ensure that the vehicular tracking errors of the position and velocity can converge to the predefined regions, respectively. Eventually, the effectiveness of the developed algorithm is demonstrated by an actual VPS with the comparisons.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"34 17","pages":"11581-11603"},"PeriodicalIF":3.2,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142214624","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

Disturbance observer based adaptive heading control for unmanned marine vehicles with event-triggered and input quantization 基于扰动观测器的自适应航向控制，适用于具有事件触发和输入量化功能的无人驾驶海洋航行器

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2024-08-12 DOI: 10.1002/rnc.7578

Jun Ning, Yu Wang, Lu Liu, Tieshan Li

{"title":"Disturbance observer based adaptive heading control for unmanned marine vehicles with event-triggered and input quantization","authors":"Jun Ning, Yu Wang, Lu Liu, Tieshan Li","doi":"10.1002/rnc.7578","DOIUrl":"10.1002/rnc.7578","url":null,"abstract":"<div>\u0000 \u0000 <p>The primary objective of this paper is to enhance the efficient utilization of communication resources. To achieve this, the paper delves into the disturbance observer based adaptive heading control strategy for Unmanned Marine Vehicles with event-triggered and input quantization. Furthermore, in order to mitigate the impact of slow time-varying external disturbances within the control system, the disturbance observer is employed for estimation. Within the context of a networked control, control input is subjected to quantization via an input quantizer, and the process of input quantization is described by using a linear analytical model. Importantly, no foreknowledge of quantization parameters is necessary for the quantized feedback controllers. Subsequently, the sliding mode control method is combined with event-triggered mechanismss to design quantization feedback control system. The stability of the closed-loop system is established in line with the fundamental tenets of Lyapunov stability theory, validating the bounded nature of both observation and heading tracking control errors. The effectiveness of the proposed heading control scheme is further underscored through a series of simulation experiments.</p>\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"34 17","pages":"11469-11486"},"PeriodicalIF":3.2,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142214623","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

Iterative-learning-based actuator/sensor fault estimation for a class of repetitive nonlinear systems with time-delay 基于迭代学习的致动器/传感器故障估计，适用于一类具有时间延迟的重复非线性系统

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2024-08-12 DOI: 10.1002/rnc.7544

Kenan Du, Li Feng, Yi Chai, Meng Deng

{"title":"Iterative-learning-based actuator/sensor fault estimation for a class of repetitive nonlinear systems with time-delay","authors":"Kenan Du, Li Feng, Yi Chai, Meng Deng","doi":"10.1002/rnc.7544","DOIUrl":"10.1002/rnc.7544","url":null,"abstract":"<p>To meet the demand for estimating actuator and sensor faults simultaneously in a class of repetitive nonlinear time-delay systems, this paper proposes a novel fault estimation strategy based on an iterative learning scheme. Firstly, an iterative-learning-based fault estimation law is designed to estimate actuator faults while system is free of sensor failures. Both the fixed initial shift and random one are taken into consideration. Secondly, a novel sensor fault observer is proposed based on an augmented state variable which consists of original system state and sensor fault signal; output compensation strategy is also provided to ensure the iterative-learning-based actuator fault estimation method is effective considering the existence of sensor failures. In addition, theorems based on <span></span><math>\u0000 \u0000 <semantics>\u0000 <mrow>\u0000 <mi>λ</mi>\u0000 </mrow>\u0000 <annotation>$$ lambda $$</annotation>\u0000 </semantics></math>-norm and linear matrix inequality are provided to determine values or ranges of gain matrices and parameters in proposed sensor fault observer and iterative-learning-based actuator fault estimation law. Finally, two simulation examples are provided to illustrate the effectiveness of the proposed methods.</p>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"34 16","pages":"10842-10866"},"PeriodicalIF":3.2,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142214628","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

A novel hybrid observer-based model-free adaptive high-order terminal sliding mode control for robot manipulators with prescribed performance 基于混合观测器的新型无模型自适应高阶终端滑模控制，适用于具有规定性能的机器人机械手

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2024-08-12 DOI: 10.1002/rnc.7588

Minxuan Zha, Haoping Wang, Yang Tian, Dingxin He, Yangchun Wei

{"title":"A novel hybrid observer-based model-free adaptive high-order terminal sliding mode control for robot manipulators with prescribed performance","authors":"Minxuan Zha, Haoping Wang, Yang Tian, Dingxin He, Yangchun Wei","doi":"10.1002/rnc.7588","DOIUrl":"10.1002/rnc.7588","url":null,"abstract":"<p>Although widely used in industrial applications, strong nonlinearity and coupling, high computational complexity prevent high precision tracking control of manipulator. In this paper, to overcome the rely on system model and achieve prescribed convergence, a novel hybrid observer-based model-free adaptive high-order fast terminal sliding model control scheme (HO-MHTSMC) with prescribed performance is proposed for trajectory tracking control of robot manipulators in the existence of friction and external disturbance. The ultra-local model is used to approximate the original complex system in a model free form in a short sliding time window, which avoid the accurate modeling of the manipulator system. To compensate for the lumped uncertainties, a hybrid observer based on adaptive time-delay estimation and adaptive second order sliding mode observer (SOSM) is proposed to achieve finite-time observation and zero estimation error. Besides, a transformation using prescribed performance function is applied to the system to ensure the transient and steady-state performance of the trajectory tracking in joint space. Furthermore, a high-order fast terminal sliding mode control algorithm with backstepping control strategy is used to stabilize the whole system and reduce the chattering problem in conventional sliding mode control. The stability analysis of the system is provided by Lyapunov theorem. Finally, numerical study and co-simulations show that the proposed control scheme has better performance in tracking accuracy and robustness compared with conventional control schemes.</p>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"34 17","pages":"11655-11680"},"PeriodicalIF":3.2,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142214625","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