針對(duì)一些復(fù)雜的非線性系統(tǒng)在神經(jīng)網(wǎng)絡(luò)逆動(dòng)態(tài)控制方法下控制效果不理想的問題，本文提出對(duì)被控對(duì)象進(jìn)行直接多步預(yù)測，利用多步預(yù)測性能指標(biāo)函數(shù)對(duì)系統(tǒng)實(shí)現(xiàn)基于神經(jīng)網(wǎng)絡(luò)的逆控制。并將仿真結(jié)果與利用遞推多步預(yù)測方法的結(jié)果進(jìn)行了比較，得到直接多步預(yù)測控制較遞推多步預(yù)測更準(zhǔn)確的結(jié)論。
關(guān)鍵詞多步預(yù)測性能指標(biāo)函數(shù)神經(jīng)網(wǎng)絡(luò)逆動(dòng)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