摘要
给出一种当多变量系统辨识模型用于控制器设计时的开环实验输入信号.假定系统未建模动态可以用加性不确定性表示,取实际输出和理想输出误差平方均值最小,将其与系统辨识最小二乘法相结合,得到一种最优输入信号的设计方法.因输入信号与控制性能的相关性,可获得比普通随机信号更好的辨识结果.仿真结果证明了该方法的有效性.
The problem of control-relevant experiment design of the multivariable systems is considered. By using the additive error with respect to the model, the mean squared error between the real output and the ideal output is chosen as the performance index. The least square method is used to associate the control performance index with the input signal design. The method is control-relevant, and it can get better results compared to the classical signals. The simulation result shows the effectiveness of the method.
出处
《控制与决策》
EI
CSCD
北大核心
2004年第7期824-826,830,共4页
Control and Decision
关键词
控制相关的辨识
实验设计
多交量系统
Computer simulation
Least squares approximations
Multivariable systems
