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异构多智能体输出调节量化自适应跟踪控制

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考虑到无人机-无人船动力学模型中部分状态信息丢失、输出降维和延迟量化输入等复杂情形,提出了一种适用于解决异构多智能体系统一致性跟踪控制问题的输出调节量化自适应方案.利用降维的输出信息设计量化反馈控制输入及自适应律,实现异构多智能体编队系统内全维状态信息向参考模型的一致性跟踪,基于Lyapunov方法的稳定性分析证明了各变量的一致有界性,将该一致性跟踪控制方法应用于无人机-无人船编队系统中,通过数值仿真验证了该异构多智能体编队系统在平面内实现各变量一致性跟踪的能力.
Heterogeneous Multi-agent Output Adjustment Quantization Adaptive Tracking Control
Considering the complex situation of some state information loss,output degradation and delayed quantization input in the UAV-USV dynamics model,an output adjustment quantization adaptive scheme is proposed to solve the consistent tracking control problem of heterogeneous multi-agent systems.By using the output information of dimensionality reduction,the quantitative feedback control input and adaptive law are designed to realize the consistent tracking of the full-dimensional state information in the heterogeneous multi-agent formation system to the reference model.The stability analysis based on Lyapunov method proves the consistent boundness of each variable.The ability of the heterogeneous multi-agent formation system to achieve consistent tracking of each variable in a plane is verified by numerical simulation.

Unmanned aerial vehicles(UAV)-Unmanned surface vehicle(USV)formationFormation controlMulti-agentOutput regulationAdaptive control

马梓元、万茹、龚华军、王新华

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南京航空航天大学自动化学院,南京 211106

无人机-无人船编队 编队控制 多智能体 输出调节 自适应控制

2024

宇航学报
中国宇航学会

宇航学报

CSTPCD北大核心
影响因子:0.887
ISSN:1000-1328
年,卷(期):2024.45(3)
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