針對一些復雜的非線性系統(tǒng)在神經(jīng)網(wǎng)絡逆動態(tài)控制方法下控制效果不理想的問題，本文提出對被控對象進行直接多步預測，利用多步預測性能指標函數(shù)對系統(tǒng)實現(xiàn)基于神經(jīng)網(wǎng)絡的逆控制。并將仿真結(jié)果與利用遞推多步預測方法的結(jié)果進行了比較，得到直接多步預測控制較遞推多步預測更準確的結(jié)論。
關(guān)鍵詞多步預測性能指標函數(shù)神經(jīng)網(wǎng)絡逆動態(tài)控制非線性系統(tǒng)
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