International Journal of Robust and Nonlinear Control最新文献_第5页

Detection-based resilient control for cyber-physical systems against two-channel false data injection attacks 基于检测的网络物理系统弹性控制，抵御双通道虚假数据注入攻击

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2024-08-24 DOI: 10.1002/rnc.7601

Jinyan Li, Xiaomeng Li, Hongru Ren, Hongyi Li

{"title":"Detection-based resilient control for cyber-physical systems against two-channel false data injection attacks","authors":"Jinyan Li, Xiaomeng Li, Hongru Ren, Hongyi Li","doi":"10.1002/rnc.7601","DOIUrl":"10.1002/rnc.7601","url":null,"abstract":"This paper focuses on a detection-based resilient control issue for cyber-physical systems (CPSs) subject to false data injection (FDI) attacks, where FDI attacks occur in the communication channels from the sensor-to-controller and controller-to-actuator. Firstly, to reduce the adverse impacts of FDI attacks on estimation performance, an unbiased estimator is constructed by tackling the equality-constrained optimization problem. Then, an effective attack detection mechanism is devised by introducing a pseudo-innovation sequence to formulate the detection function, which can successfully detect two-channel FDI attacks. Based on these detection results, a resilient controller combining linear quadratic Gaussian and <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> controllers is provided to guarantee the mean-square asymptotic stability of CPSs with <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. Finally, the validity of the proposed resilient control approach is demonstrated by a simulation involving satellite control system.","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"34 17","pages":"11604-11622"},"PeriodicalIF":3.2,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142214615","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

Lyapunov stability analysis of an RMRAC‐based adaptive sigmoid super‐twisting sliding mode under matched and unmatched uncertainties 在匹配和不匹配不确定性条件下，基于 RMRAC 的自适应西格码超扭曲滑动模式的 Lyapunov 稳定性分析

IF 3.9 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2024-08-22 DOI: 10.1002/rnc.7598

Guilherme Vieira Hollweg, Paulo Jefferson Dias de Oliveira Evald, Hilton Abílio Grundling, Wencong Su

引用次数: 0

Bounded real lemma and H∞ control for BAM neural networks with unbounded time‐varying delays 具有无界时变延迟的 BAM 神经网络的有界实数困境和 H∞ 控制

IF 3.9 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2024-08-22 DOI: 10.1002/rnc.7606

Zhuo Ren, Yu Xue, Tingting Yu

引用次数: 0

Adaptive event-triggered lateral control for autonomous vehicle system under stochastic-sampling subject to dynamic quantization 受动态量化影响的随机抽样条件下自动驾驶车辆系统的自适应事件触发横向控制

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2024-08-20 DOI: 10.1002/rnc.7599

Wenke Jiang, Mengzhuo Luo, Jun Cheng, Iyad Katib, Kaibo Shi

{"title":"Adaptive event-triggered lateral control for autonomous vehicle system under stochastic-sampling subject to dynamic quantization","authors":"Wenke Jiang, Mengzhuo Luo, Jun Cheng, Iyad Katib, Kaibo Shi","doi":"10.1002/rnc.7599","DOIUrl":"10.1002/rnc.7599","url":null,"abstract":"<div>\u0000 \u0000 In this paper, we delve into the intricate problem of lateral control in autonomous vehicles, utilizing adaptive event triggering, dynamic quantizers, and incorporating stochastic sampling. By integrating the Adaptive Event-Triggering Scheme (AETS) and dynamic quantizer in dual channels—namely the sensor-to-controller and controller-to-observer channels—we aptly cater to the multifaceted road conditions faced by autonomous vehicles. Moreover, in light of Denial of Service (DoS) attacks, our controllers ensure system stability amidst stochastic sampling. While ensuring an effective reduction in the amount of network communication data, the efficiency of the output feedback controllers is also significantly improved, thus enabling the closed-loop system to be strictly dissipative performance stabilized. To substantiate the efficacy of our proposed method, simulation experiments were rigorously conducted using the Carsim-Simulink platform, highlighting the enhanced safety of autonomous vehicles in real-world operations.\u0000 </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"34 17","pages":"11819-11844"},"PeriodicalIF":3.2,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142227836","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

Adaptive Nussbaum design using composite triggering condition for stochastic nonlinear systems with multiple unknown control directions 利用复合触发条件对具有多个未知控制方向的随机非线性系统进行自适应努斯鲍姆设计

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2024-08-19 DOI: 10.1002/rnc.7581

Guilong Liu, Yongliang Yang, Da-Wei Ding, Qing Li

{"title":"Adaptive Nussbaum design using composite triggering condition for stochastic nonlinear systems with multiple unknown control directions","authors":"Guilong Liu, Yongliang Yang, Da-Wei Ding, Qing Li","doi":"10.1002/rnc.7581","DOIUrl":"https://doi.org/10.1002/rnc.7581","url":null,"abstract":"The traditional Nussbaum-type functions encounter challenges when extended to systems with multiple unknown control directions, as the coupling between the Nussbaum-type function and Nussbaum-type gain may lead to mutual elimination. To address this issue, a novel Nussbaum-type function is introduced to handle multiple unknown control directions for stochastic systems. The stability of the proposed Nussbaum-based design can be guaranteed using the Lyapunov analysis. To conserve computational resources, a static composite event-triggered mechanism is integrated with intermittent feedback in the Nussbaum-based design. In contrast to conventional event-triggering mechanisms that depend solely on control signals, the presented design incorporates tracking errors into the event-triggering conditions. Moreover, to further alleviate computational burdens, we further develop a dynamic composite event-triggered mechanism. With the overall design scheme, bounded tracking errors and reduced computational burden can be ensured. Simulation examples validate the efficacy of the proposed adaptive Nussbaum composite event-based robust control design.","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"34 17","pages":"11487-11512"},"PeriodicalIF":3.2,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142430008","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

Time-varying group formation tracking control for multi-agent systems using distributed multi-sensor multi-target filtering with intermittent observations 利用分布式多传感器多目标滤波与间歇性观测实现多代理系统的时变组队跟踪控制

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2024-08-19 DOI: 10.1002/rnc.7587

Jialin Qi, Zheng Zhang, Jianglong Yu, Xiwang Dong, Qingdong Li, Hong Jiang, Zhang Ren

{"title":"Time-varying group formation tracking control for multi-agent systems using distributed multi-sensor multi-target filtering with intermittent observations","authors":"Jialin Qi, Zheng Zhang, Jianglong Yu, Xiwang Dong, Qingdong Li, Hong Jiang, Zhang Ren","doi":"10.1002/rnc.7587","DOIUrl":"https://doi.org/10.1002/rnc.7587","url":null,"abstract":"Time-varying group formation tracking control problems for multi-agent systems are investigated based on distributed multi-sensor multi-target filtering with intermittent observations. First, in order to estimate the states of multiple targets under the phenomenon of intermittent observations accurately, a distributed multi-sensor multi-target filtering algorithm is proposed based on cubature Kalman filtering. Second, a time-varying group formation tracking protocol is designed for multi-agent systems by using the state estimations obtained from the filtering algorithm and the neighboring interaction. The protocol enables multi-agent systems to form time-varying subformations and track multiple targets in the same subgroups, respectively. Third, the boundedness of the error covariance matrices is proved under the condition that the observation probability is higher than the minimum threshold. Then the estimation errors of the filtering algorithm are proved to be stochastically bounded by introducing a stochastic process. Furthermore, the boundedness of the group formation tracking errors is proved. Finally, a numerical example is used to verify the performance of the proposed algorithm and protocol.","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"34 17","pages":"11681-11704"},"PeriodicalIF":3.2,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142430116","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

Distributed event-triggered consensus control for multi-agent systems under independent DoS attacks: A randomized transmission approach 独立 DoS 攻击下多代理系统的分布式事件触发共识控制：随机传输方法

IF 3.2 3区计算机科学

International Journal of Robust and Nonlinear Control Pub Date : 2024-08-18 DOI: 10.1002/rnc.7592

Yuan-Cheng Sun, Lina Yao, Feisheng Yang, An-Yang Lu

{"title":"Distributed event-triggered consensus control for multi-agent systems under independent DoS attacks: A randomized transmission approach","authors":"Yuan-Cheng Sun, Lina Yao, Feisheng Yang, An-Yang Lu","doi":"10.1002/rnc.7592","DOIUrl":"10.1002/rnc.7592","url":null,"abstract":"In this article, the consensus problem for disturbed multi-agent systems (MASs) under independent denial-of-service (DoS) attacks is investigated. The concerned attacks can jam different channels independently, resulting in a time-varying and unknown network topology. In this situation, a dynamic event-triggered control scheme with a hybrid communication strategy is presented to schedule information interaction over the network, and a distributed prediction-based control algorithm is proposed to ameliorate the resilience. The system stability is proved in present of DoS attacks by introducing the decay rates of Lyapunov functions associated with different connectivity modes. In comparison with the most existing MASs studies under DoS attacks, the triggering mechanism that possibly subject to the malicious attacks executed at the triggering times is protected by the proposed randomized transmission protocol, and the tolerable attack intensities are quantified. Finally, simulations are presented to substantiate that the proposed strategy is effective.","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"34 17","pages":"11705-11724"},"PeriodicalIF":3.2,"publicationDate":"2024-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142214619","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 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