CAJ | 학술논문

本文针对含有不确定性,时延和未知系统状态的复杂非线性系统,考虑了输出反馈控制问题.应用模糊T-S模型逼近非线性系统建模,RBF神经网络作为补偿器来消除建模误差和不确定性.所设计的控制器能够使得闭环系统满足期望的H∞性能.
본문침대함유불학정성,시연화미지계통상태적복잡비선성계통,고필료수출반궤공제문제.응용모호T-S모형핍근비선성계통건모,RBF신경망락작위보상기래소제건모오차화불학정성.소설계적공제기능구사득폐배계통만족기망적H∞성능.
The output feedback control problem is considered for a class of complex nonlinear systems with time delays and unknown states, and under uncertainties. Fuzzy T-S models are used to approximate the complex nonlinear system, and RBF neural networks act as a compensator to eliminate the approximating error and the uncertainties. The controller is designed to ensure that the closed-loop system satisfies the desired H∞ performance. Simulation result demonstrates the effectiveness of the developed control scheme.