基于逆动力学控制的思想，提出一种RBF神经网络逆控制与PID控制相结合的在线自学习控制方案。
Based on the thought of inverse system control, a method of on-line self-learning control strategy was proposed, which combines inverse control based on RBF neural network with PID control.
该文在延迟系统逆动力学过程定性分析的基础上，对传统模糊控制器加以改造，提出一种新的适合于迟延系统的控制方法。
Based on the qualitative analysis to inverse dynamics of delay system, through modifying conventional fuzzy controller, a new control method which is fit for delay system is presented.
逆动力学问题的研究方法在系统的稳定、最优控制、故障检测以及测量中有着重要的作用。
The research methods of Inverse dynamics problems have important effects on system stability, optimum control, fault diagnosis and thermodynamic measuring.
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