基于动态神经网络非线性仿射系统H_∞控制(二)

Dynamical-Neural-Networks-based Nonlinear Affine System H∞ Control

基于神经网络,对一类非线性系统H∞控制进行了研究,反馈增益矩阵转化为线性矩阵不等式问题,通过凸优化方法在线解决.最后,通过仿真实验说明本方案的有效性.

This paper, based on neural networks, has investigated a class of nonlinear system of neural net--based H∞0 control design, and has shown the gibbous optimization method can solve the problem of linear matrix inequality transformed from plus matrix. At last, the paper talks about the possibility of the method by simulation experiments.