CAJ | 학술논문

针对一类时变时滞非线性神经网络系统,首先运用神经网络逼近非线性函数,然后构造Lyapunov泛函,给出状态反馈控制律,以线性矩阵不等式的形式给出了系统渐近稳定的充分条件,并讨论了系统的鲁棒稳定性.最后,用数值算例说明了结果的正确性和可行性.
침대일류시변시체비선성신경망락계통,수선운용신경망락핍근비선성함수,연후구조Lyapunov범함,급출상태반궤공제률,이선성구진불등식적형식급출료계통점근은정적충분조건,병토론료계통적로봉은정성.최후,용수치산례설명료결과적정학성화가행성.
@@@@For a class of time-varying delay nonlinear neural network system ,first by neural network approximation nonlinear function ,through the transformation and then by means of Lyapunov function , the state feedback control law is given ,and with linear matrix inequalities gives the sufficient con-ditions of the system that is asymptotically stable is given ,and the system robust stability is discussed ,which satisfies a prescribed H∞ noim-bounded .In the end ,a numerical example illustrates the feasibility and correct-ness of the proposed method .