%0 Journal Article
%T Generalized ANN Inverse Control Method<br>神经网络广义逆系统控制
%A HE Dan
%A DAI Xianzhong
%A WANG Qin
%A <br>何 丹
%A 戴先中
%A 王 勤
%J 控制理论与应用
%D 2002
%I 
%X The paper presents extended inverse method for the linearization and decoupling control of high_order nonlinear system. Being rightly designed, generalized inverse can transform the controlled nonlinear system into a number of pseudo_linear SISO (single input and single output) subsystems with the poles of the pseudo_linear systems approaching to the expected positions. Furthermore, the paper proposes the construction of generalized ANN (artificial neural network) inverse consisting of a static ANN and a number of linear components such as integrator factors and inertial components. This generalized ANN inverse method provides a practical approach for the linearization and decoupling control of poorly_modeled high_order plants whose states are difficult to measure and so extends the application region of ANN inverse.
%K artificial neural networks
%K inverse system
%K nonlinear system control
%K linearization
%K decoupling<br>神经网络
%K 逆系统
%K 非线性系统控制
%K 线性化
%K 解耦
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=F0C0F2D8E6966E5C&yid=C3ACC247184A22C1&vid=2A8D03AD8076A2E3&iid=CA4FD0336C81A37A&sid=339D79302DF62549&eid=1371F55DA51B6E64&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=5&reference_num=11