非線性系統(tǒng)的無模型誤差控制

針對未知非線性系統(tǒng)提出了一種具有輸出變化量加速度比例因子的無模型自學(xué)習(xí)控制方
案，主要思想是利用BP 網(wǎng)絡(luò)對系統(tǒng)輸入輸出量進行辨識，同時構(gòu)造誤差控制器，通過辨識學(xué)習(xí)器向誤差控制器動態(tài)傳遞更新權(quán)陣，以實現(xiàn)對未知非線性系統(tǒng)的無模型誤差自適應(yīng)控制。Matlab7.0 平臺下的仿真結(jié)果表明，控制效果良好。
關(guān)鍵詞： BP 網(wǎng)絡(luò)；辨識學(xué)習(xí)器；誤差控制器；自適應(yīng)控制
Abstract: One method of non-model error self-learning control with output variable acceleration proportion factor of non-linear system is presented. Its idea is that the input-output of the system is identified by BP networks and error controller is constructed simultaneity .The weight matrix of the error controller is dynamically adjusted by identifier to reality adaptive control. The system simulation example based on MATLAB7.0 shows this control method is effective.
Keyword: BP network；identifier；error controller；adaptive control