基于未知多智能体系统的新型增益控制策略  

A Novel Gain Control Strategy for Unknown Multi-agent Systems

作　　者：闫飞云 刘烨 徐冬梅[1] YAN Feiyun;LIU Ye;XU Dongmei(School of Electronic and Electrical Engineering,Shanghai University of Engineering Science,Shanghai 201000,China)

机构地区：[1]上海工程技术大学电子电气工程学院,上海201000

出　　处：《电光与控制》2024年第10期34-41,共8页Electronics Optics & Control

基　　金：国家自然科学基金(61703269)。

摘　　要：针对一类具有未知状态与磁滞输入的多智能体系统稳定性问题,提出了一种基于新型时变增益的自适应控制方案。该方案包括构建新型高增益观测器、整合所有未知项并在微分控制环节中进行统一处理,以及调整时变增益信号中的补偿参数实现输入信号的波形降噪与上、下限约束。通过应用这一控制方案,可以实现系统的一致稳定性,还可有效降低微分控制环节中的计算量。除此之外,在系统频率响应的允许范围内调整补偿参数,可以实现输入降噪与上、下限约束。仿真实验结果表明,该方案成功实现了系统输入波形的上、下限约束和降噪优化,同时能够降低微分控制环节的计算量,提高系统的鲁棒性和适应性。A novel adaptive control scheme based on a new time-varying gain is proposed for the stabilityproblem of a class of multi-agent systems with unknown states and hysteresis input.The scheme includes theconstruction of a novel high-gain observer,the integration of all unknown terms and the unified processing ofthem in the differential control section,and the adjustment of compensation parameters in the time-varyinggain signal to achieve input waveform denoising and upper-lower limitation constraint.By applying thiscontrol seheme,consistent stability of the system can be achieved,and the computational burden in thedifferential control section can be effectively reduced.Moreower,adjusting the compensation parameters within theallowable range of the system frequency response can achieve input denoising and upper-lower limitationconstraint.Simulation results show that the proposed method suecessfully achieves the optimization of theinput waveform upper-lower limitation constraint and denoising while reducing the computational burden inthe differential control section,thus improving the system's robustness and adaptability.

关 键 词：高增益观测器 降噪处理 未知磁滞效应 输出反馈 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]