摘要
提出了一种改进的模型跟随自适应算法(DS-AMFC),即把系统输出的误差引入控制信号,同时,利用线性神经网络对系统(k+1)时刻输出误差预测,并利用该预测值对系统进行控制。仿真表明该改进算法较原算法有较强的跟随模型的能力。
A modified adaptive model following control algorithm was presented in which the plant output error was introduced to the control signal, and the plant output error was predicted by a linear neural network; and the plant was controlled with the predicted value. Simulation results show that the modified algorithm is more effective than the former one.
出处
《湖北汽车工业学院学报》
2005年第3期28-31,共4页
Journal of Hubei University Of Automotive Technology
关键词
自适应控制
模型跟随
线性神经网络
仿真
adaptive control
model following
linear neural network
simulation
