robotics control and mechatronics
事件触发神经网络自适应混合姿态控制
Event-triggered neural network adaptive hybrid attitude controlA control strategy for robotic systems that utilizes event-triggered mechanisms to reduce communication frequency, integrates neural networks for adaptive approximation, and employs hybrid control techniques to manage attitude stabilization. / 一种用于机器人系统的控制策略，利用事件触发机制减少通信频率，集成神经网络进行自适应近似，并采用混合控制技术管理姿态稳定。
- Knowledge type
- 实际应用
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-10-24 18:01:45
Sub-knowledge points
Event-triggered mechanismNeural network approximationHybrid attitude control
Higher-order knowledge points
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Main parameters and performance indicators
Event threshold: Determines when control signals are transmittedNeural network: Approximates unknown dynamicsHybrid control: Combines continuous and discrete control actions
Open problems
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Related literature
ranked by community starsEvent-triggered neural network adaptive hybrid attitude controlOpen source
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1 recordsRecord title: Event-triggered neural network adaptive hybrid attitude control.
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