To study the attitude system of spacecraft, an adaptive inverse control algorithm is presented.
针对航天器姿态系统，提出了一种基于自适应神经网络动态逆的控制算法。
Then, aiming at the existing problem, the algorithm of dynamic recurrent neural network, RBF neural network and adaptive inverse control is studied in the paper.
接着，结合其存在的问题，对动态递归神经网络、R BF神经网络和自适应逆控制进行了算法研究。
In this adaptive inverse control mechanism, the inverse model is updated through recursive least squares algorithm, and controller is adjusted online according to method of filter.
在这种自适应逆控制机制中，逆模型通过递归最小二乘算法更新，控制器依据-滤波进行在线调整。
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