Distributed model free adaptive fault-tolerant consensus tracking control for multiagent systems with actuator faults

Wang, Yuan; Wang, Zhanshan

doi:10.1016/j.ins.2024.120313

Cited by 4 publications

(1 citation statement)

References 50 publications

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“…In addition to dynamic state constraints, actuator faults [20][21][22] also demand attention, as system reliability is of paramount importance for LMDGSs. In practical applications, continuous operation of LMDGSs 24 h a day is common, and under prolonged, uninterrupted, and high-intensity operation, wear and tear gradually accumulates on actuators.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Iterative Learning Constrained Control for Linear Motor-Driven Gantry Stage with Fault-Tolerant Non-Repetitive Trajectory Tracking

2024

Mathematics

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This article introduces an adaptive fault-tolerant control method for non-repetitive trajectory tracking of linear motor-driven gantry platforms under state constraints. It provides a comprehensive solution to real-world issues involving state constraints and actuator failures in gantry platforms, alleviating the challenges associated with precise modeling. Through the integration of iterative learning and backstepping cooperative design, this method achieves system stability without requiring a priori knowledge of system dynamic models or parameters. Leveraging a barrier composite energy function, the proposed controller can effectively regulate the stability of the controlled system, even when operating under state constraints. Instability issues caused by actuator failures are properly addressed, thereby enhancing controller robustness. The design of a trajectory correction function further extends applicability. Experimental validation on a linear motor-driven gantry platform serves as empirical evidence of the effectiveness of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Adaptive Iterative Learning Constrained Control for Linear Motor-Driven Gantry Stage with Fault-Tolerant Non-Repetitive Trajectory Tracking

2024

Mathematics

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Fault-tolerant consensus of nonlinear multi-agent systems with channel noises under multiple faults and denial-of-service attacks

Xiao,

Long,

et al. 2024

Nonlinear Dyn

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Distributed event-triggered-based encrypted control for nonlinear multi-agent systems via privacy-preserving approach

Wang,

Liu,

Zha

et al. 2024

Nonlinear Dyn

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Distributed model free adaptive fault-tolerant consensus tracking control for multiagent systems with actuator faults

Cited by 4 publications

References 50 publications

Adaptive Iterative Learning Constrained Control for Linear Motor-Driven Gantry Stage with Fault-Tolerant Non-Repetitive Trajectory Tracking

Adaptive Iterative Learning Constrained Control for Linear Motor-Driven Gantry Stage with Fault-Tolerant Non-Repetitive Trajectory Tracking

Fault-tolerant consensus of nonlinear multi-agent systems with channel noises under multiple faults and denial-of-service attacks

Distributed event-triggered-based encrypted control for nonlinear multi-agent systems via privacy-preserving approach

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