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给出一般离散非线性系统的神经网络α阶逆系统(将α阶逆系统与原系统直接串联起来,构成一伪线性系统,具有α阶时延性质)的结构与辨识,并研究其在非线性系统控制中的直接应用。仿真结果表明该方法具有较普遍意义,且结构简单,易于实现。
The structure and identification of α-order inverses of neural networks for general discrete nonlinear systems are given (the α-order inverse system is directly connected in series with the original system to form a pseudo-linear system with α-order delay) Direct application in linear system control. The simulation results show that the method has more general significance, and the structure is simple and easy to implement.