Cédric Escudero, Carlos Murguia, Daniel Quevedo, Paolo Massioni, Eric Zamaï
{"title":"针对执行器攻击的安全过滤器","authors":"Cédric Escudero, Carlos Murguia, Daniel Quevedo, Paolo Massioni, Eric Zamaï","doi":"10.1002/rnc.7871","DOIUrl":null,"url":null,"abstract":"<p>This manuscript focuses on mitigating the effect of deception attacks on control signals, that is, in the presence of an adversary that tampers with data coming from the controller to the system actuators in order to degrade the plant performance. We propose adding Multiple-Inputs Multiple-Outputs (MIMO) filters to the loop, between the received control actions (which are potentially corrupted by attacks) and the plant actuators. These filters are designed to dynamically steer the reachable set induced by the attack signals to a known safe region of the state space. We provide a synthesis framework (built in terms of the solution of a collection of semidefinite programs) to design the filters so that attack-free control signals are distorted as little as possible–in terms of <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mrow>\n <mi>H</mi>\n </mrow>\n <mrow>\n <mi>∞</mi>\n </mrow>\n </msub>\n </mrow>\n <annotation>$$ {H}_{\\infty } $$</annotation>\n </semantics></math> and <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 </mrow>\n <annotation>$$ {H}_2 $$</annotation>\n </semantics></math> norms of the difference between original and filtered control signals–and the trajectories are guaranteed to be contained in a predefined safe set. The results are illustrated through a simulation case focusing on the stability augmentation system of an airplane.</p>","PeriodicalId":50291,"journal":{"name":"International Journal of Robust and Nonlinear Control","volume":"35 9","pages":"3640-3657"},"PeriodicalIF":3.2000,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/rnc.7871","citationCount":"0","resultStr":"{\"title\":\"Safety Filters Against Actuator Attacks\",\"authors\":\"Cédric Escudero, Carlos Murguia, Daniel Quevedo, Paolo Massioni, Eric Zamaï\",\"doi\":\"10.1002/rnc.7871\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This manuscript focuses on mitigating the effect of deception attacks on control signals, that is, in the presence of an adversary that tampers with data coming from the controller to the system actuators in order to degrade the plant performance. We propose adding Multiple-Inputs Multiple-Outputs (MIMO) filters to the loop, between the received control actions (which are potentially corrupted by attacks) and the plant actuators. These filters are designed to dynamically steer the reachable set induced by the attack signals to a known safe region of the state space. We provide a synthesis framework (built in terms of the solution of a collection of semidefinite programs) to design the filters so that attack-free control signals are distorted as little as possible–in terms of <span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mrow>\\n <mi>H</mi>\\n </mrow>\\n <mrow>\\n <mi>∞</mi>\\n </mrow>\\n </msub>\\n </mrow>\\n <annotation>$$ {H}_{\\\\infty } $$</annotation>\\n </semantics></math> and <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 </mrow>\\n <annotation>$$ {H}_2 $$</annotation>\\n </semantics></math> norms of the difference between original and filtered control signals–and the trajectories are guaranteed to be contained in a predefined safe set. The results are illustrated through a simulation case focusing on the stability augmentation system of an airplane.</p>\",\"PeriodicalId\":50291,\"journal\":{\"name\":\"International Journal of Robust and Nonlinear Control\",\"volume\":\"35 9\",\"pages\":\"3640-3657\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-03-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/rnc.7871\",\"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.7871\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Robust and Nonlinear Control","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/rnc.7871","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}
This manuscript focuses on mitigating the effect of deception attacks on control signals, that is, in the presence of an adversary that tampers with data coming from the controller to the system actuators in order to degrade the plant performance. We propose adding Multiple-Inputs Multiple-Outputs (MIMO) filters to the loop, between the received control actions (which are potentially corrupted by attacks) and the plant actuators. These filters are designed to dynamically steer the reachable set induced by the attack signals to a known safe region of the state space. We provide a synthesis framework (built in terms of the solution of a collection of semidefinite programs) to design the filters so that attack-free control signals are distorted as little as possible–in terms of and norms of the difference between original and filtered control signals–and the trajectories are guaranteed to be contained in a predefined safe set. The results are illustrated through a simulation case focusing on the stability augmentation system of an airplane.
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.