Event-Triggered Cooperative Adaptive Fuzzy Control for Stochastic Nonlinear Systems With Measurement Sensitivity and Deception Attacks

Mu, Yunfei; Guo, Xiyue; Sun, Jiayue; Zhou, Yu

doi:10.1109/tfuzz.2022.3189412

Cited by 27 publications

(1 citation statement)

References 58 publications

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“…Therefore, combining adaptive control with fuzzy logic systems can adapt to system changes and uncertainties, can enhance the robustness of the control system to uncertainties, and can manage complex nonlinear systems. Numerous relevant studies have been proposed in the recent past, such as [6][7][8][9]. Pure-feedback systems represent a more general class of triangular systems that include strictfeedback systems [10], Brunovsky systems [11].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy compensation disturbance observer-based adaptive tracking control for pure-feedback systems with deferred output constraint

Liu,

Zhang

2024

Preprint

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In this paper, the concentration is on a tracking control issue for a class of deferred time-varying output-constrained pure-feedback systems subject to unknown external disturbance. In the control scheme design procedure, the nonlinearities are approximated by fuzzy logic systems. To obtain a virtual term, the mean value theorem is applied to separate the non-affine component of pure-feedback systems. A fuzzy compensation disturbance observer is proposed to further weaken the impact of disturbances on the system. An auxiliary system is designed to ensure that the compensation term is related to the error between the ideal and actual signals. The shifting function and the fractional barrier function are combined to achieve deferred constraints on the system output. The proposed strategy can be used to determine the boundary parameters of the barrier function immediately and to avoid the need for numerous simulation iterations. Two simulations are performed to confirm the validity of the presented strategy.

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Section: Introductionmentioning

confidence: 99%

Fuzzy compensation disturbance observer-based adaptive tracking control for pure-feedback systems with deferred output constraint

Liu,

Zhang

2024

Preprint

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Self‐triggered adaptive neural control for USVs with sensor measurement sensitivity under deception attacks

Wu,

Zhu,

Liu

et al. 2024

Journal of Field Robotics

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This article investigates the control problem of unmanned surface vessels with sensor measurement sensitivity under deception attacks, and proposes a novel self‐triggered adaptive neural control scheme under the backstepping design framework. To solve the control design problem of unknown time‐varying gains caused by deception attacks and measurement sensitivity in kinematic and kinetic channels, the parameter adaptive and neural network technology are involved. In addition, to decrease actuator wear caused by the high‐frequency wave and sensor measurement sensitivity and reduce the computational burden caused by continuous monitoring of the triggered condition, a self‐triggered mechanism is constructed in the controller–actuator channel. Finally, a self‐triggered adaptive neural control solution is proposed, which can guarantee that all signals in the whole closed‐loop system are bounded by theoretical analysis. The effectiveness and superiority are verified by numerical simulations.

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Finite-time adaptive neural resilient DSC for fractional-order nonlinear large-scale systems against sensor-actuator faults

et al. 2023

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Event-Triggered Cooperative Adaptive Fuzzy Control for Stochastic Nonlinear Systems With Measurement Sensitivity and Deception Attacks

Cited by 27 publications

References 58 publications

Fuzzy compensation disturbance observer-based adaptive tracking control for pure-feedback systems with deferred output constraint

Fuzzy compensation disturbance observer-based adaptive tracking control for pure-feedback systems with deferred output constraint

Self‐triggered adaptive neural control for USVs with sensor measurement sensitivity under deception attacks

Finite-time adaptive neural resilient DSC for fractional-order nonlinear large-scale systems against sensor-actuator faults

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