用人工神经网络K-Net构造状态观测器
CONSTRUCTING STATE-OBSERVER VIA ARTIFICIAL NEURAL NETWORK K-NET
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摘要: 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.Abstract: In this paper, the principle, mathematical description and algorithm for constructing non-linear system state-observer via artificial neural network K-Net has been studied. By example selected from literature, the computer simulations have been done. Such kind of neural network based state-observer has good properties, clear structure, simple algorithm and good adaptability.