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DOS攻擊下非線性NCSs觀測(cè)器與控制器協(xié)同設(shè)計(jì)

2021-07-20 04:20:51胡亞猛林崇
關(guān)鍵詞:觀測(cè)器控制器協(xié)同

胡亞猛 林崇

摘要: ?針對(duì)網(wǎng)絡(luò)系統(tǒng)中存在的阻礙網(wǎng)絡(luò)通信問題,本文基于觀測(cè)器,研究了一類非線性網(wǎng)絡(luò)控制系統(tǒng)在非周期拒絕服務(wù)(denial of service,DOS)攻擊下的控制問題。設(shè)計(jì)了一種彈性事件觸發(fā)方案,并充分考慮非周期DOS攻擊和事件觸發(fā)方案的影響,基于TS模糊模型,建立了一種切換系統(tǒng)模型。通過構(gòu)造LyapunovKrasovskii泛函,并基于線性矩陣不等式方法,分析了系統(tǒng)的漸近穩(wěn)定性,提出了一種控制器和觀測(cè)器的協(xié)同設(shè)計(jì)方法。最后,以文獻(xiàn)[13]中的卡車拖車系統(tǒng)為例,通過Matlab的LMI工具箱進(jìn)行仿真驗(yàn)證。仿真結(jié)果表明,切換系統(tǒng)在非周期的DOS攻擊下是漸進(jìn)穩(wěn)定的,驗(yàn)證了所得結(jié)果的有效性。該研究對(duì)非線性網(wǎng)絡(luò)控制系統(tǒng)抵抗外部攻擊具有重要意義。

關(guān)鍵詞: ?DOS攻擊; 網(wǎng)絡(luò)控制系統(tǒng); LyapunovKrasovskii泛函; 事件觸發(fā)方案; 控制器

中圖分類號(hào): TP271.62 ?文獻(xiàn)標(biāo)識(shí)碼: A

4 結(jié)束語

本文結(jié)合文獻(xiàn)[13]提出的網(wǎng)絡(luò)化TS模糊系統(tǒng)基于觀測(cè)器的控制器設(shè)計(jì)方法,引入了非周期的DOS干擾攻擊下,將文獻(xiàn)[15]中線性網(wǎng)絡(luò)系統(tǒng)在周期性DOS攻擊下基于觀測(cè)器的控制器設(shè)計(jì)問題推廣至非線性系統(tǒng)。為了應(yīng)對(duì)非周期性的DOS干擾攻擊,提出了一種動(dòng)態(tài)事件觸發(fā)方案,并且充分考慮了事件觸發(fā)方案和DOS干擾攻擊對(duì)原系統(tǒng)前提變量和隸屬度函數(shù)的影響,建立了基于TS模糊模型的切換系統(tǒng)模型。在此基礎(chǔ)上,提出了觀測(cè)器、控制器和事件觸發(fā)方案的協(xié)同設(shè)計(jì)方法,并通過仿真實(shí)例,驗(yàn)證了本文所提出設(shè)計(jì)方法的有效性。下一步將考慮存在的外部干擾情況或考慮其他攻擊方式,例如欺詐攻擊和混合攻擊。

參考文獻(xiàn):

[1] Zhang X M, Han Q L, Ge X H, et al. Networked control systems: ?a survey of trends and techniques[J]. IEEE/CAA Journal of Automatica Sinica, 2020, 7(1): 117.

[2] Liu D, Yang G H, Er M J. Eventtriggered control for TS fuzzy systems under asynchronous network communications[J]. IEEE Transactions on Fuzzy Systems, 2020, 28(2): 390399.

[3] Zhang L X, Gao H J, Kaynak O. Networkinduced constraints in networked control systemsa survey[J]. Industrial Informatics IEEE Transactions on Industrial Informatics, 2013, 9(1): 403416.

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[8] Lam H K. A review on stability analysis of continuoustime fuzzymodelbased control systems: ?From membershipfunctionindependent to membershipfunctiondependent analysis[J]. Engineering Applications of Artificial Intelligence, 2018, 67: 390408.

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[10] Dong J X, Yang G H. Stability analysis of TS fuzzy control systems by using set theory[J]. IEEE Transactions on Fuzzy Systems, 2014, 23(4): 827841.

[11] Li H Y, Pan Y N, Shi P, et al. Switched fuzzy output feedback control and its application to massspringdamping system[J]. IEEE Transactions on Fuzzy Systems, 2016, 24(6): ?12591269.

[12] Zhang K, Jiang B, Shi P, et al. Analysis and design of robust H∞ fault estimation observer with finitefrequency specifications for discretetime fuzzy systems[J]. IEEE Transactions on Cybernetics, 2015, 45(7): 12251235.

[13] Peng C, Ma S D, Xie X P. Observerbased nonPDC control for networked TS fuzzy systems with an eventtriggered communication[J]. IEEE Transactions on Cybernetics, 2017, 47(8): ?22792287.

[14] Zhao X, Lin C, Chen B, et al. Adaptive eventtriggered fuzzy H∞ filter design for nonlinear networked systems[J]. IEEE Transactions on Fuzzy Systems, 2019, 28(12): 33023314.

[15] Hu S L, Yue D, Han Q L, et al. Observerbased eventtriggered control for networked linear systems subject to denialofservice attacks[J]. IEEE Transactions on Cybernetics, 2020, 50(5): ?19521964.

[16] Gu Z, Zhou X H, Zhang T, et al. Eventtriggered filter design for nonlinear cyberphysical systems subject to deception attacks.[J]. ISA Transactions, 2019, 104: 130137.

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