摘要
将基于人工神经网络的时变时滞系统参数辨识算法与内模控制相结合 ,提出了时变时滞系统自适应内模控制算法 .理论分析及仿真结果表明 ,该算法能克服时滞及参数的变化 ,具有鲁棒性好。
Combining an artificial neural network approach for parameter identification with internal model control, an adaptive IMC algorithm for time varying delay system is explored. Theoretical analysis and computer simulation results show that the proposed algorithm can overcome time varying delay and parameter variability. It possesses better robustness and anti disturbance ability. [WT4”HZ]
出处
《甘肃工业大学学报》
2000年第1期69-75,共7页
Journal of Gansu University of Technology
关键词
神经网络
时变时滞系统
自适应内模控制
artificial neural network
parameter identification
time varying delay systems
adaptive internal model control
robustness
