基于多步预测性能指标函数的神经网络逆动态控制方法

针对一些复杂的非线性系统在神经网络逆动态控制方法下控制效果不理想的问题，本文提出对被控对象进行直接多步预测，利用多步预测性能指标函数对系统实现基于神经网络的逆控制。并将仿真结果与利用递推多步预测方法的结果进行了比较，得到直接多步预测控制较递推多步预测更准确的结论。
关键词多步预测性能指标函数神经网络逆动态控制非线性系统
Abstract To against the problem of unsatisfied control effects are obtained in neural network reverse dynamic control method in complicated non-linear
systems，the author states the measure that multiple-step prediction is taken directly for the controlled object，and reverse control based on neural network
is implemented by using multi-step performance function to the system. In addition，by comparing results of simulation and recurrence multi-step prediction，
the conclusion of direct multi-step predicted control is more accurate than recurrence multi-step prediction is obtained.
Keywords Multi-step prediction Performance function Neural network Reverse dynamic control Non-linear system