{"title":"Sliding Mode Control With Adaptive Quantizer's Parameters for Markov Jump Systems Under DoS Attacks","authors":"Xintong Xie, Bei Chen","doi":"10.1002/rnc.7941","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Under the digital communication channel, signal quantization will complicate the design and analysis of controlled systems due to quantization errors. In most of the existing work, the controller design only focuses on the robustness of the controlled system, that is, the performance of the system in the presence of quantization errors, without considering whether the effects of the quantization process can be eliminated, which leads to conservatism and limits the improvement of control performance. Therefore, in this work, a sliding mode controller is designed for Markov jump systems subject to denial-of-service attacks, without considering quantization. Then, under the quantization case, the same control performance can still be achieved based on the existing sliding mode controller by designing an online adjustment strategy for the quantizer's parameters. Using the Lyapunov theory, the exponential ultimate boundedness of the system and the reachability of the sliding surface are analyzed respectively. Finally, the simulation results illustrate the proposed strategy.</p>\n </div>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 11","pages":"4686-4700"},"PeriodicalIF":3.2000,"publicationDate":"2025-03-28","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.7941","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
Under the digital communication channel, signal quantization will complicate the design and analysis of controlled systems due to quantization errors. In most of the existing work, the controller design only focuses on the robustness of the controlled system, that is, the performance of the system in the presence of quantization errors, without considering whether the effects of the quantization process can be eliminated, which leads to conservatism and limits the improvement of control performance. Therefore, in this work, a sliding mode controller is designed for Markov jump systems subject to denial-of-service attacks, without considering quantization. Then, under the quantization case, the same control performance can still be achieved based on the existing sliding mode controller by designing an online adjustment strategy for the quantizer's parameters. Using the Lyapunov theory, the exponential ultimate boundedness of the system and the reachability of the sliding surface are analyzed respectively. Finally, the simulation results illustrate the proposed strategy.
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.