论文部分内容阅读
研究了人工神经网络Ｋ－Ｎｅｔ构造非线性系统状态观测器及其原理、数学描述和算法，并选用文献中的例子进行了仿真研究和对比．这样构造的神经网络状态观测器结构清晰，算法简明，有很好的适应性
The artificial neural network K-Net is used to construct nonlinear system state observer, its principle, mathematical description and algorithm, and the examples in the literature are selected for simulation research and comparison. The neural network state observer constructed in this way has a clear structure, a simple algorithm and a good adaptability