Neural adaptive fault-tolerant finite-time control for nonstrict feedback systems: an event-triggered mechanism

DOI10.1016/j.neunet.2021.06.019zbMath1526.93130OpenAlexW3173691892MaRDI QIDQ6079134

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Publication date: 28 September 2023

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2021.06.019

zbMATH Keywords

neural networksfinite timeevent-triggered controlnonaffine nonlinear faults

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Feedback control (93B52) Adaptive control/observation systems (93C40) Discrete event control/observation systems (93C65) Networked control (93B70) Finite-time stability (93D40)

Related Items (5)

Improved disturbance observer-based fixed-time adaptive neural network consensus tracking for nonlinear multi-agent systems ⋮ Tangent barrier Lyapunov function based adaptive event-triggered control for uncertain flexible beam systems ⋮ Nonsingular fixed‐time fault‐tolerant control for multiple Euler–Lagrange systems without continuous communication ⋮ Unified synchronization and fault‐tolerant anti‐disturbance control for synchronization of multiple memristor‐based neural networks ⋮ Direct adaptive control for nonlinear systems using a TSK fuzzy echo state network based on fractional-order learning algorithm

Cites Work

• Adaptive fault-tolerant compensation control for Markovian jump systems with mismatched external disturbance
• Adaptive compensation for actuator failures with event-triggered input
• Adaptive finite-time tracking control of full state constrained nonlinear systems with dead-zone
• Non-fragile fault-tolerant control for nonlinear Markovian jump systems with intermittent actuator fault
• Two-Dimensional Dissipative Control and Filtering for Roesser Model
• Event-Triggered Leader-Following Consensus for Nonlinear Multiagent Systems Subject to Actuator Saturation Using Dynamic Output Feedback Method
• Event-Triggered Control for Consensus Problem in Multi-Agent Systems With Quantized Relative State Measurements and External Disturbance
• A bias correction method for identification of linear dynamic errors-in-variables models
• Event-Triggered Real-Time Scheduling of Stabilizing Control Tasks

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