Event-triggered based adaptive neural network control of a robotic manipulator with output constraints and disturbance

DOI10.1080/00207721.2020.1856443zbMath1483.93401OpenAlexW3192303798MaRDI QIDQ5028652

Jiannan Chen, Xuechao Qiu, Yu Zhang, Chang-Chun Hua, Xin-Ping Guan

Publication date: 10 February 2022

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2020.1856443

zbMATH Keywords

adaptive neural network controloutput constraintsdisturbance observerbarrier Lyapunov functionevent triggering

Mathematics Subject Classification ID

Adaptive control/observation systems (93C40) Perturbations in control/observation systems (93C73) Automated systems (robots, etc.) in control theory (93C85) Discrete event control/observation systems (93C65) Networked control (93B70)

Cites Work

• Control of nonlinear systems with time-varying output constraints
• Continuous finite-time control for robotic manipulators with terminal sliding mode
• Direct self-repairing control for a helicopter via quantum multi-model and disturbance observer
• Tracking control for output-constrained nonlinear switched systems with a barrier Lyapunov function
• Event-Triggered Output Feedback Control for a Class of Uncertain Nonlinear Systems
• Adaptive tracking control of nonlinear systems with dynamic uncertainties using neural network
• Event-Triggered Adaptive Control for a Class of Uncertain Nonlinear Systems
• Event-Triggered Real-Time Scheduling of Stabilizing Control Tasks
• Decentralized Event-Triggered Control Over Wireless Sensor/Actuator Networks
• On Event Triggered Tracking for Nonlinear Systems

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