鲁棒H无穷自适应模糊方法用于未知非线性网络系统
Robust H-infinity Adaptive Fuzzy Approach for Unknown Nonlinear Networked Systems
AI总结：
本文提出了一种用于未知非线性网络系统的H无穷自适应模糊控制方法，解决系统延迟和信息丢失问题，结合H无穷控制方法近似未知非线性函数，并证明闭环系统在存在干扰、延迟和信息丢失时的稳定性。
摘要：
本文提出了一种用于未知非线性网络系统的H无穷自适应模糊控制设计。本文主要解决了网络系统中的系统延迟和信息丢失问题。实际上，所提出的方法通过过滤误差来克服延迟，并补偿系统信息的丢失。本文将自适应模糊控制设计与H无穷控制方法相结合，以近似系统的未知非线性函数。还对方法的稳定性进行了分析。结果表明，闭环系统的稳定性在存在系统干扰、系统延迟和信息丢失的情况下得到证明。所提出的方法应用于倒立摆系统以评估方法的效率和有效性。
英文摘要：
An H infinity adaptive fuzzy control design is proposed in this paper for unknown nonlinear networked systems. The main issues of networked systems are addressed here, which are the system delay and loss of information. In fact, the proposed method overcomes the delays by filtering the errors and also compensates the loss of system information. The adaptive fuzzy control design is combined in this work with H infinity control approach to approximate the system's unknown nonlinear functions. The stability analysis of the approach is also surveyed. The results revealed that the closed loop system stability is proved in existence of system disturbances, system delays and information loss. The proposed approach is applied on an inverted pendulum system to evaluate the method's efficiency and effectiveness.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
