Event-Triggered Consensus Control for Multi-Agent Systems Against False Data-Injection Attacks

Li, Xiaomeng; Zhou, Qi; Li, Panshuo; Li, Hongyi; Lu, Renquan

doi:10.1109/tcyb.2019.2937951

Cited by 273 publications

(101 citation statements)

References 48 publications

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“…The effectiveness of the proposed event-triggered finite-time controller design method has been verified by a numerical example. To further improve the proposed approach reliability and safety in practical applications, especially in networked control systems 43,44 and multiagent systems, [45][46][47][48] the problems of fading channels, [49][50][51] packet dropouts, 52,53 multiple input channels, 54 and cyber attacks [55][56][57] will be considered in our further work.…”

Section: Discussionmentioning

confidence: 99%

Event‐triggered finite‐time reliable control for nonhomogeneous Markovian jump systems

Gao

Deng

et al. 2019

Intl J Robust & Nonlinear

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Summary This article investigates the event‐triggered finite‐time reliable control problem for a class of Markovian jump systems with time‐varying transition probabilities, time‐varying actuator faults, and time‐varying delays. First, a Luenberger observer is constructed to estimate the unmeasured system state. Second, by applying an event‐triggered strategy from observer to controller, the frequency of transmission is reduced. Third, based on linear matrix inequality technique and stochastic finite‐time analysis, event‐triggered observer‐based controllers are designed and sufficient conditions are given, which ensure the finite‐time boundedness of the closed‐loop system in an H∞ sense. Finally, an example is utilized to show the effectiveness of the proposed controller design approach.

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Section: Discussionmentioning

confidence: 99%

Event‐triggered finite‐time reliable control for nonhomogeneous Markovian jump systems

Gao

Deng

et al. 2019

Intl J Robust & Nonlinear

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“…Theorem 1. Consider the nonstrict-feedback stochastic nonlinear MASs (2) with Assumptions 1-4, if the the distributed controllers are chosen as (12), (16), and (19), RBF NNS parameter update laws are chosen as (13), (17) and (20), for bounded initial conditions, we have the following results.…”

Section: Adaptive Distributed Controller Designmentioning

confidence: 99%

“…[5][6][7] Based on fixed or switching topologies, preliminary results for the consensus problem were presented in previous works. [8][9][10][11][12] Among them, the leaderless problem was discussed by Xi et al 9 and leader-following problem was studied by Liu and Yang, 8 Olfati-saber et al, 10 and Liang et al 12 To address the consensus control problem, some discussions have been reported on this issue with the combination of finite-time synchronization, 13,14 event-triggered control, [15][16][17][18] adaptive optimal control, 19,20 and adaptive fault-tolerant control. [21][22][23] However, the aforementioned consensus methods were employed under the assumption that there are no stochastic disturbance and time delays in the controlled system.…”

Section: Introductionmentioning

confidence: 99%

Adaptive consensus control for stochastic nonlinear multiagent systems with full state constraints

Xiao

Cao

Dong

et al. 2019

Intl J Robust & Nonlinear

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Summary In this paper, the consensus tracking problem is investigated for stochastic nonlinear multiagent systems with full state constraints and time delays. The barrier Lyapunov functions proposed for single‐agent constrained systems are constructively extended to solve the consensus problem for multiagent systems with the full state constraints. Some Lyapunov‐Krasovskii functionals are introduced to compensate for state time delays, which are inherent in the complicated nonlinear systems. Based on the variable separation technique, the difficulty arising from the nonstrict‐feedback structure is overcome. Under a directed communication topology, the distributed neuroadaptive control protocols are proposed to guarantee that all the follower agents follow the trajectory of the leader agent and the full state constraints are not violated. The effectiveness of the proposed distributed adaptive control approach is verified via simulation examples.

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“…With the increasing of complexity of control systems, the safety and reliability of systems are more and more important. However, when actuators and/or sensors faults occur, under the traditional control schemes, system performance will degrade and even the stability of system cannot be ensured . Therefore, it is required that the developed control strategies have ability to deal with emergency situations resulting from actuators and/or sensors faults .…”

Section: Introductionmentioning

confidence: 99%

“…However, when actuators and/or sensors faults occur, under the traditional control schemes, system performance will degrade and even the stability of system cannot be ensured. [1][2][3][4][5] Therefore, it is required that the developed control strategies have ability to deal with emergency situations resulting from actuators and/or sensors faults. [6][7][8][9] It is well known that fault tolerant control (FTC) is an effective approach to improve the reliability of control systems and maintain an desired performance/stability of systems.…”

Section: Introductionmentioning

confidence: 99%

Asynchronous adaptive output feedback sliding mode control for Takagi‐Sugeno fuzzy Markovian jump systems with actuator faults

Liu

Zhang

et al. 2019

Adaptive Control & Signal

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Summary In this article, the problem of asynchronous adaptive dynamic output feedback sliding mode control (SMC) for a class of Takagi‐Sugeno (T‐S) fuzzy Markovian jump systems (MJSs) with actuator faults is investigated. The asynchronous dynamic output feedback control strategy is employed, as the nonsynchronization phenomenon of jump modes exists between the plant and the controller. A novel asynchronous adaptive SMC approach is proposed to solve the synthesis problem for T‐S fuzzy MJSs with actuator faults. Sufficient conditions for stochastic asymptotic stability of T‐S fuzzy MJSs are given. Under the designed asynchronous adaptive SMC scheme, the effects of actuator faults and external disturbance can be completely compensated and the reachability of sliding surface is ensured. Finally, an example is provided to demonstrate the effectiveness of the proposed design techniques.

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Event-Triggered Consensus Control for Multi-Agent Systems Against False Data-Injection Attacks

Cited by 273 publications

References 48 publications

Event‐triggered finite‐time reliable control for nonhomogeneous Markovian jump systems

Event‐triggered finite‐time reliable control for nonhomogeneous Markovian jump systems

Adaptive consensus control for stochastic nonlinear multiagent systems with full state constraints

Asynchronous adaptive output feedback sliding mode control for Takagi‐Sugeno fuzzy Markovian jump systems with actuator faults

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