Yunjiao Zhu, Xiaoming Tang, Jun Wang, Shidong Zhai, Jingjie Yuan, Minghong She
{"title":"H\n \n \n 2\n \n \n /\n \n \n H\n \n \n ∞\n \n \n \n $$ {H}_2/{H}_{\\infty } $$\n Control of AETSCP-Based IT-2 Fuzzy Networked Control Systems Under Stealthy Dos Attacks and Actuator Faults","authors":"Yunjiao Zhu, Xiaoming Tang, Jun Wang, Shidong Zhai, Jingjie Yuan, Minghong She","doi":"10.1002/rnc.7882","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>This paper examines the dynamic output feedback <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>H</mi>\n </mrow>\n <mrow>\n <mn>2</mn>\n </mrow>\n </msub>\n <mo>/</mo>\n <msub>\n <mrow>\n <mi>H</mi>\n </mrow>\n <mrow>\n <mi>∞</mi>\n </mrow>\n </msub>\n </mrow>\n <annotation>$$ {H}_2/{H}_{\\infty } $$</annotation>\n </semantics></math> control of interval type-2 (IT-2) fuzzy systems suffering from stealthy denial of service (DoS) attacks under the adaptive event-triggered stochastic communication protocol (AETSCP). Considering the advantages of the AET mechanism and the SCP, a new AETSCP is proposed, whose trigger parameters can be dynamically adjusted based on the changing trend of the system state and the stealthy DoS attack probability. The signal-to-interference plus noise ratio (SINR)-based DoS attacker continuously senses the channel and utilizes the trigger characteristics of the AET mechanism to cleverly launch the attack to ensure its stealthiness. A dynamic quantizer is employed to quantize the measured output, and a time-varying fault matrix is adopted to represent actuator faults. By applying the mode-dependent Lyapunov function, the sufficient condition to ensure the stability of the considered networked control system (NCS) is derived, and the dynamic output feedback controller satisfying the <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>H</mi>\n </mrow>\n <mrow>\n <mn>2</mn>\n </mrow>\n </msub>\n <mo>/</mo>\n <msub>\n <mrow>\n <mi>H</mi>\n </mrow>\n <mrow>\n <mi>∞</mi>\n </mrow>\n </msub>\n </mrow>\n <annotation>$$ {H}_2/{H}_{\\infty } $$</annotation>\n </semantics></math> performance is designed. Lastly, a simulation example is used to verify the effectiveness of the proposed algorithm.</p>\n </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 9","pages":"3791-3804"},"PeriodicalIF":3.2000,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Robust and Nonlinear Control","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/rnc.7882","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper examines the dynamic output feedback control of interval type-2 (IT-2) fuzzy systems suffering from stealthy denial of service (DoS) attacks under the adaptive event-triggered stochastic communication protocol (AETSCP). Considering the advantages of the AET mechanism and the SCP, a new AETSCP is proposed, whose trigger parameters can be dynamically adjusted based on the changing trend of the system state and the stealthy DoS attack probability. The signal-to-interference plus noise ratio (SINR)-based DoS attacker continuously senses the channel and utilizes the trigger characteristics of the AET mechanism to cleverly launch the attack to ensure its stealthiness. A dynamic quantizer is employed to quantize the measured output, and a time-varying fault matrix is adopted to represent actuator faults. By applying the mode-dependent Lyapunov function, the sufficient condition to ensure the stability of the considered networked control system (NCS) is derived, and the dynamic output feedback controller satisfying the performance is designed. Lastly, a simulation example is used to verify the effectiveness of the proposed algorithm.
期刊介绍:
Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.