在导弹系统存在广义不确定性情况下，提出了一种基于反演设计技术和RBF神经网络的导弹非线性自适应控制系统设计方法。
Based on RBF neural networks and backstepping control techniques, a nonlinear adaptive controller design method is proposed for missile control systems with a general set of uncertainties.
提供了离散时间广义非线性控制系统的不可测扰动的一种‘反演算法’。
The paper presents a linear algebraic solution of the dynamic disturbance decoupling problem for a generalized discrete time nonlinear system.
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