Stabilisation of event-triggered-based neural network control system and its application to wind power generation systems
DOI10.1049/iet-cta.2019.0246zbMATH Open1544.93646MaRDI QIDQ6598751
Lakshmanan Shanmugam, Young Hoon Joo, Prakash Mani
Publication date: 5 September 2024
Published in: IET Control Theory \& Applications (Search for Journal in Brave)
stabilitylinear matrix inequalitiesnonlinear control systemssampled data systemsLyapunov methodswind turbineswind power plantssynchronous motorscontrol system synthesispower system stabilitytime-dependent Lyapunov functionalpendulumsneurocontrollerscontroller algorithmmachine controlevent-triggered-based neural network control systemevent-triggered-based stabilisation problemneural-network-based control systemNNBCSpower generation systemsampled data controllervariable-speed wind turbine drive system
Asymptotic stability in control theory (93D20) Discrete event control/observation systems (93C65) Networked control (93B70)
Cites Work
- Optimal guaranteed cost control of linear systems with mixed interval time-varying delayed state and control
- Event-triggered communication and \(H_\infty\) control co-design for networked control systems
- Dynamical analysis of the permanent-magnet synchronous motor chaotic system
- Complex dynamics in a permanent-magnet synchronous motor model
- Event‐triggered stabilisation for T–S fuzzy systems with asynchronous premise constraints and its application to wind turbine system
- A Delay System Method for Designing Event-Triggered Controllers of Networked Control Systems
- Event triggered robust filter design for discrete‐time systems
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