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Self-adjusting performance-based adaptive event-triggered consensus control for nonlinear multi-agent systems
DOI:10.1016/j.jfranklin.2026.108845.png)
摘要
En 中文
• 自适应性能方法增强了系统对扰动的鲁棒性。
• 集成指令滤波器与误差补偿以避免复杂度爆炸。
• 基于上界估计的自适应律降低计算负担。
• 动态事件触发机制节省通信资源。
Keyword:
Multi-agent systems
Prescribed performance
Event-triggered control
Command filter
Adaptive control
期刊
J
IF:
3.7
论文数:
6.4K
被引数:
1.5W
机构
引用论文
Distributed Output Feedback Prescribed Performance Control for High-Order Nonlinear Multi-Agent Systems高阶非线性多智能体系统的分布式输出反馈预定性能控制
Bearing-only distributed localization for multi-agent systems with complex coordinates仅基于测向的分布式定位方法用于具有复杂坐标的多智能体系统
Cooperatively prescribed performance control for nonlinear multi-agent systems with unknown control directions by event-triggered control基于事件触发控制的、具有未知控制方向的非线性多智能体系统的协同规定性能控制

