提出神經(jīng)網(wǎng)絡(luò)前饋?zhàn)赃m應(yīng)解耦控制算法，該算法將多變量非線性系統(tǒng)在平衡點(diǎn)處利用Taylor公式展開，分為線性部分和高階非線性部分。這樣，將高階非線性部分的影響視為可測(cè)干擾，采用前饋補(bǔ)償?shù)姆椒右韵?，就可以借助多變量線性系統(tǒng)的自適應(yīng)解耦控制算法，實(shí)現(xiàn)多變量非線性系統(tǒng)的自適應(yīng)解耦控制，這種方法可以取消被解耦系統(tǒng)為最小相位的限制。
關(guān)鍵詞：多變量非線性 解耦控制 自適應(yīng)控制 神經(jīng)網(wǎng)絡(luò)控制
Abstract: The paper put forward an algorithm of NN feedback adaptive decoupling control, and the algorithm outspread the multivariable system with the Taylor formula in the point of balance, which contains linear part and high rank nonlinear part. Thus we may regard the impact of high rank nonlinear part as measurable disturb, then we can call it off with feedback compensation and realize adaptive decoupling control to the multivariable nonlinear system with the help of the multivariable linear adaptive decoupling control algorithm. This method can call off the restrict of the least phase for the decoupled system.
Keywords: multivariable; nonlinear; decoupling control; adaptive control; NN control