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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、抗干扰能力强的特点。
Combining the parameter identification algorithm based on artificial neural network and the internal model control, an adaptive internal model control algorithm for time-varying delay system is proposed. Theoretical analysis and simulation results show that the proposed algorithm can overcome the variation of time delay and parameters, and has the characteristics of good robustness and strong anti-interference ability.