Output Feedback Control of Uncertain Fractional-Order System Subject to Deception Cyber-Attacks via Observer-Based Event-Triggered Scheme
Authors: 
M. Mubeen Tajudeen, M. Syed Ali, R. Perumal, Sudesh Kumar Garg, Bandana PriyaAuthors Info & Claims
Pages 4190 - 4218
Abstract
This article investigates the problem of output feedback control of fractional-order uncertain systems subject to deception attacks based on observer-based event-triggered scheme. Compared to the existing deception attacks, the proposed model consists of two random deception attacks on the fractional-order system. To decrease communication resource usage while maintaining desired system performance, an observer-based event-triggered scheme is proposed with no Zeno behavior. The Lyapunov functional theory is used to establish sufficient conditions for ensuring the global asymptotic stability of an uncertain fractional-order system. By applying singular value decomposition matrix, and linear matrix inequalities (LMIs), observer and the controller gain matrices are obtained. Finally, DC–DC power converter model is used to demonstrate the efficiency of the proposed methodology.
References
[1]
Aravind RV and Balasubramaniam P Global asymptotic stability of delayed fractional-order complex-valued fuzzy cellular neural networks with impulsive disturbances J. Appl. Math. Comput. 2022 68 4713-4731
[2]
Baluni S, Das S, Yadav VK, and Cao J Lagrange -exponential synchronization of non-identical fractional-order complex-valued neural networks Circuits Syst. Signal Process. 2022 41 5632-5652
[3]
Boukal Y, Darouach M, Zasadzinski M, and Radhy NE Robust observer-based-controller design for uncertain fractional-order time-varying-delay systems Int. J. Robust Nonlinear Control 2021 31 13 6314-6333
[4]
Cao Z, Niu B, Zong G, Zhao X, and Ahmad AM Active disturbance rejection-based event-triggered bipartite consensus control for nonaffine nonlinear multiagent systems Int. J. Robust Nonlinear Control 2023 33 12 7181-7203
[5]
Chen B and Chen J Razumikhin-type stability theorems for functional fractional-order differential systems and applications Appl. Math. Comput. 2015 254 63-69
[6]
Chen X, Chen Y, Zhang B, and Qiu D A modeling and analysis method for fractional-order DC–DC converters IEEE Trans. Power Electron. 2016 32 9 7034-7044
[7]
V. Djordjevic, H. Tao, X. Song, S. He, W. Gao, V. Stojanovic, Data-driven control of hydraulic servo actuator: An event-triggered adaptive dynamic programming approach. Math. Biosci. Eng. 1551–0018 (2023). https://scidar.kg.ac.rs/handle/123456789/18589
[8]
Duddeti BB Approximation of fractional-order systems using balanced truncation with assured steady-state gain Circuits Systems Signal Process. 2023 42 5893-5923
[9]
Fan X and Wang Z Event-triggered integral sliding mode control for fractional order T–S fuzzy systems via a fuzzy error function Int. J. Robust Nonlinear Control 2021 31 7 2491-2508
[10]
Feng T, Wang YE, Liu L, and Wu B Observer-based event-triggered control for uncertain fractional-order systems J. Franklin Inst. 2020 357 9423-9441
[11]
Hou L, Ma X, and Sun H Stabilization of switched linear systems under asynchronous switching subject to admissible edge-dependent average dwell time Front. Inf. Technol. Electron. Eng. 2022 23 810-822
[12]
Hu F, Sun S, and Ma T Connectivity-preserving rendezvous of heterogeneous multi-agent systems under denial-of-service attacks J. Frankl. Inst. 2023 360 4 3189-3207
[13]
Huong DC Reduced-order state estimation for a class of nonlinear fractional-order systems Circuits Syst. Signal Process. 2023 42 2740-2754
[14]
Huyen NTT, Thanh NT, Sau NH, Binh TN, and Thuan MV Mixed and passivity performance for delayed conformable fractional-order neural networks Circuits Syst. Signal Process. 2023 42 5142-5160
[15]
Kazemy A, Lam J, and Chang Z Adaptive event-triggered mechanism for networked control systems under deception attacks with uncertain occurring probability Int. J. Syst. Sci. 2021 52 7 1426-1439
[16]
Li D, Su L, Shen H, and Wang J Leader-following consensus of semi-Markov jump nonlinear multi-agent systems under hybrid cyber-attacks J. Frankl. Inst. 2023 360 8 5878-5891
[17]
Li X, Yang X, and Cao J Event-triggered impulsive control for nonlinear delay systems Automatica 2020 117
[18]
Li J, Wang Q, Su Y, and Sun C Robust distributed model predictive consensus of discrete-time multi-agent systems: a self-triggered approach Front. Inf. Technol. Electron. Eng. 2021 22 1068-1079
[19]
Liu D, Liu N, and Li T Event-triggered model-free adaptive control for nonlinear systems with output saturation Int. J. Robust Nonlinear Control 2023 33 12 7204-7220
[20]
Liu J, Zhang N, Li Y, and Xie X filter design for discrete-time networked systems with adaptive event-triggered mechanism and hybrid cyber attacks J. Frankl. Inst. 2021 358 17 9325-9345
[21]
Liu J, Wang Y, Cao J, Yue D, and Xie X Secure adaptive-event-triggered filter design with input constraint and hybrid cyber attack IEEE Trans. Cybern. 2021 51 8 4000-4010
[22]
Liu J, Zhang N, Li Y, and Xie X filter design for discrete-time networked systems with adaptive event-triggered mechanism and hybrid cyber attacks J. Frankl. Inst. 2021 358 17 9325-9345
[23]
Liu J, Suo W, Xie X, Yue D, and Cao J Quantized control for a class of neural networks with adaptive event-triggered scheme and complex cyber-attacks Int. J. Robust Nonlinear Control 2021 31 10 4705-4728
[24]
Liu K, Wang M, Ma R, Zhang Z, and Wei Q Detection and localization of cyber attacks on water treatment systems: an entropy-based approach Appl. Math. Comput. 2022 23 587-603
[25]
Liu L, Zhang S, Xue D, and Chen YQ Robust stability analysis for fractional-order systems with time delay based on finite spectrum assignment Int. J. Robust Nonlinear Control 2019 29 8 2283-2295
[26]
Lu H, Deng Y, Xu Y, and Zhou W Event-triggered filtering for networked systems under hybrid probability deception attacks IEEE Access. 2020 8 192030-192040
[27]
Ma J, Wang J, Xu S, Fei S, and Feng H Event-triggered adaptive finite-time secure control for nonlinear cyber-physical systems against unknown deception attacks Int. J. Robust Nonlinear Control 2023 33 3 1593-1606
[28]
Mahmoud MS, Hamdan MM, and Baroudi UA Secure control of cyber physical systems subject to stochastic distributed DoS and deception attacks Int. J. Syst. Sci. 2020 51 9 1653-1668
[29]
Nagamani G, Joo YH, Soundararajan G, and Mohajerpoor R Robust event-triggered reliable control for T–S fuzzy uncertain systems via weighted based inequality Inf. Sci. 2020 512 31-49
[30]
Padmaja N and Balasubramaniam P Mixed /passivity based stability analysis of fractional-order gene regulatory networks with variable delays Math. Comput. Simul. 2021 192 167-181
[31]
Phuong NT, Thuan MV, Sau NH, and Muoi NH Non-fragile finite-time guaranteed cost control for a class of singular caputo fractional-order systems with uncertainties Circuits Syst. Signal Process. 2015 43 795-820
[32]
Shafiya M and Nagamani G New finite-time passivity criteria for delayed fractional-order neural networks based on Lyapunov function approach Chaos, Solitons Fractals 2022 158
[33]
Song X, Wu N, Song S, and Stojanovic V Switching-like event-triggered state estimation for reaction–diffusion neural networks against DoS attacks Neural Process. Lett. 2023 55 8997-9018
[34]
Tahoun AH and Arafaa M Cooperative control for cyber-physical multi-agent networked control systems with unknown false data-injection and replay cyber-attacks ISA Trans. 2021 110 21 1-14
[35]
M. M. Tajudeen, M. S. Ali, S. A. Kauser, K. Subkrajang, A. Jirawattanapanit, G. Rajchakit, Adaptive event-triggered control for complex dynamical network with random coupling delay under stochastic deception attacks. Complexity. Article ID 8761612 (2022).
[36]
Udhayakumar K, Rihan FA, Rakkiyappan R, and Cao J Fractional-order discontinuous systems with indefinite LKFs: an application to fractional-order neural networks with time delays Neural Netw. 2023 145 319-330
[37]
Wan H, Luan X, Stojanovic V, and Liu F Self-triggered finite-time control for discrete-time Markov jump systems Inf. Sci. 2023 634 101-121
[38]
Wang Z, Xue D, and Pan F Output consensus for fuzzy singular multi-agent fractional-order systems with actuator saturation IEEE Trans. Circuits Syst. II Express Briefs 2022 69 8 3465-3469
[39]
Wei Y, Luo J, Yan H, and Wang Y Event-triggered adaptive finite-time control for nonlinear systems under asymmetric time-varying state constraints Front. Inf. Technol. Electron. Eng. 2021 22 1610-1624
[40]
Wen D, Yang Z, Mu X, and Fang J Adaptive event-triggered dissipative filter design for semi-Markov jump systems under hybrid network attacks Int. J. Robust Nonlinear Control 2022 32 14 7896-7919
[41]
Wu T, Cai G, Wang J, and Mu C Distributed event-triggered control for bipartite consensus under complex cyber-attacks Int. J. Robust Nonlinear Control 2023 33 11 5997-6010
[42]
Xiong M, Tan Y, Du D, Zhang B, and Fei S Observer-based event-triggered output feedback control for fractional-order cyber-physical systems subject to stochastic network attacks ISA Trans. 2020 104 15-25
[43]
Yin T and Gu Z Security control for adaptive event-triggered networked control systems under deception attacks IEEE Access. 2021 9 10789-10796
[44]
Zhang Z, Song X, Sun X, and Stojanovic V Hybrid-driven-based fuzzy secure filtering for nonlinear parabolic partial differential equation systems with cyber attacks Int. J. Adapt. Control Signal Process. 2023 37 2 380-398
[45]
L. Zhao, G.H. Yang, Cooperative adaptive fault-tolerant control for multi-agent systems with deception attacks. J. Frankl. Inst. 357(6), 3419–3433 (2020).
Recommendations
A two-event-generator scheme for event-triggered control of uncertain NCSs under deception attacks
AbstractThis paper addresses the event-triggered control problem of discrete-time uncertain networked control systems under random deception attacks. In order to deal with a network resource constraint, a novel two-event-generator scheme over both sensor-...
Robust decentralized control of perturbed fractional-order linear interconnected systems
The robust decentralized state feedback stabilization problem for a class of perturbed fractional-order linear interconnected systems is investigated. The systems considered are subject to structured or unstructured perturbations. The decentralized ...
LMI-based robust control of fractional-order uncertain linear systems
This paper concerns with the method of observer-based control and static output feedback control for fractional-order uncertain systems with the fractional commensurate order @a(0<@a<1) and @a(1@__ __@a<2) via linear matrix inequality (LMI) approach, ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
Publisher
Birkhauser Boston Inc.
United States
Publication History
Published: 18 April 2024
Accepted: 20 March 2024
Revision received: 19 March 2024
Received: 30 October 2023
Author Tags
Qualifiers
- Research-article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 04 Jan 2025