Adaptive neural network dynamic event‐triggered control for strong interconnected stochastic nonlinear systems with output constraint

DOI10.1002/rnc.6414MaRDI QIDQ6141929

Quanxin Zhu, Unnamed Author

Publication date: 23 January 2024

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

zbMATH Keywords

adaptive neural network controldynamic event-triggered mechanismtime-varying output constraintscommand filteredstrong interconnected stochastic nonlinear systems

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Discrete event control/observation systems (93C65)

Cites Work

• Decentralized output-feedback adaptive control for a class of interconnected nonlinear systems with unknown actuator failures
• Decentralized adaptive fault-tolerant control for large-scale systems with external disturbances and actuator faults
• Barrier Lyapunov functions-based command filtered output feedback control for full-state constrained nonlinear systems
• Event-triggered adaptive neural network controller for uncertain nonlinear system
• Adaptive dynamic surface control of nonaffine nonlinear system with time‐varying state constraints
• Decentralized intelligent tracking control for uncertain high‐order stochastic nonlinear strong interconnected systems in drift and diffusion terms
• Adaptive event‐triggered global fast finite‐time control for a class of uncertain nonlinear systems
• Control of high-order nonlinear systems under error-to-actuator based event-triggered framework
• Event-Triggered Adaptive Control for a Class of Uncertain Nonlinear Systems

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