Adaptive attitude control for spacecraft systems with sensor and actuator attacks

Sun, Haibin; Hou, Linlin

doi:10.1002/acs.3349

Cited by 7 publications

(3 citation statements)

References 42 publications

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“…In addition, Zeno behavior is naturally excluded under the periodic event‐triggered sampling. An adaptive compensation control scheme is well designed to neutralize the actuator attacks. Compared with most existing results, 19–23 the proposed adaptive secure control approach can counteract the arbitrary unknown attack signal in an adaptive way rather than the previous robust‐based design 24 . Only adaptive compensation scheme is augmented to the original controller rather than altering its original design.…”

Section: Introductionmentioning

confidence: 99%

Event‐triggered adaptive secure lateral stabilization for autonomous vehicles under actuator attacks

Sun,

Chen,

Shen

et al. 2024

Adaptive Control & Signal

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SummaryFalse data injection attacks can disrupt the steering control actions and make a real threat to both the security and safety of autonomous vehicles. In this paper, a secure event‐triggered lateral control approach of autonomous vehicles subject to actuator attacks is investigated. Firstly, an arbitrary unknown actuator attacks is considered in the secure lateral steering control of autonomous vehicles. Thus, to save communication resources for the limited bandwidth CAN bus, the periodic event‐triggered transmission scheme is utilized, transforming the established lateral steering control into a time‐delay system through the consideration of periodic event‐triggered sampling. Then, an adaptive control compensation scheme is developed to mitigate the malicious effects caused by actuator attacks. The proposed secure control approach is skilled in compensating the unknown attacked steering control actions in an adaptive way. The stabilization criteria under the adaptive secure control law is well derived by Lyapunov–Krasovskii method and some linear inequality matrices operations. At last, the effectiveness of the proposed secure control scheme is verified by some numerical experiments borrowed from a practical vehicle.

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Section: Introductionmentioning

confidence: 99%

Event‐triggered adaptive secure lateral stabilization for autonomous vehicles under actuator attacks

Sun,

Chen,

Shen

et al. 2024

Adaptive Control & Signal

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“…Cyber attacks are the main threats to CPSs and have great impacts on data and security, and hence, it is crucial to develop strategies that can mitigate their effects on CPSs. Recently, many strategies for mitigating the impact of attacks have been developed for various types of cyber attacks, for example, strategies for denial of service (DOS) attacks, [1][2][3][4][5][6][7] deception attacks [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23] and replay attacks. [24][25][26][27] Deception attacks that inject false information into sensors or actuators, cause property loss and even endanger personal safety.…”

Section: Introductionmentioning

confidence: 99%

An adaptive control scheme for switched nonlinear cyber‐physical systems against state‐dependent sensor attacks and input‐dependent actuator attacks

Wang

Zhao

2023

Intl J Robust & Nonlinear

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This article considers the problem of adaptive control against deception attacks for a class of switched nonlinear cyber‐physical systems (CPSs), in which each subsystem has more general and unknown nonlinearities. Specifically, an adaptive controller is designed for CPSs with unknown switching mechanisms to mitigate the impact of state‐dependent sensor attacks and input‐dependent actuator attacks. Compared with the existing researches, the actuator attacks considered in our article are input‐dependent, which means the controller is substantially attacked, besides, the signs of unknown time‐varying gains caused by state‐dependent sensor attacks and input‐dependent actuator attacks are all unknown. To deal with these scenarios, Nussbaum‐type functions are introduced. In addition, by constructing a common Lyapunov function for all subsystems, the closed‐loop system signals are proved to be globally bounded under arbitrary switchings. Finally, we give a simulation example of a continuously stirred tank reactor system with state‐dependent sensor attacks and input‐dependent actuator attacks to illustrate the effectiveness of our results.

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“…The topics concerning nonlinear control 1,2 have garnered considerable interest during the past decades. In the practical system dynamics, numerous nonlinear systems can be depicted as strict-feedback nonlinear structures, such as spacecraft attitude control systems, 3,4 robotic systems, 5,6 and unmanned aerial vehicle attitude systems. 7,8 One of the dominant control strategies employed in such systems is the backstepping technique.…”

Section: Introductionmentioning

confidence: 99%

Reinforcement learning‐based adaptive predefined‐time optimal tracking control for strict‐feedback nonlinear systems

Chen,

Pan,

2023

Adaptive Control & Signal

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SummaryIn this paper, an adaptive predefined‐time optimal tracking control method is presented for a class of strict‐feedback nonlinear systems. Different from the existing optimal control results, these reinforcement learning methods only ensure the system is semiglobally uniformly ultimately bounded or finite‐time stable, which cannot achieve the precise control of the convergence time and accuracy. The designed predefined‐time optimal control strategy can guarantee that the convergence time and error accuracy can be predefined by users, while optimizing the performance index function by constructing the identifier‐actor‐critic neural networks. Meanwhile, an improved piecewise continuous function is devised to solve the problem of containing the sign function in the controller under the predefined‐time stability framework, which can both decrease the chattering phenomenon and avoid the possible singularity problem. Moreover, it can be demonstrated that all signals within the closed‐loop systems are predefined‐time stable. Finally, some simulation results confirm the effectiveness of the proposed control strategy.

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Adaptive attitude control for spacecraft systems with sensor and actuator attacks

Cited by 7 publications

References 42 publications

Event‐triggered adaptive secure lateral stabilization for autonomous vehicles under actuator attacks

Event‐triggered adaptive secure lateral stabilization for autonomous vehicles under actuator attacks

An adaptive control scheme for switched nonlinear cyber‐physical systems against state‐dependent sensor attacks and input‐dependent actuator attacks

Reinforcement learning‐based adaptive predefined‐time optimal tracking control for strict‐feedback nonlinear systems

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