Based on Liapunov's stability theory, this paper puts forward a model reference adaptive control system with parameter compensation.
本文基于李亚普诺夫稳定性理论，提出了一种参数补偿的模型参考自适应控制系统。
Simulation results demonstrate the feasibility of the model and the parameter estimation algorithm, and show that the adaptive predictive control method has excellent control quality.
仿真结果表明了该线性时变模型和参数估计算法的可行性，表明该自适应预测控制方法具有优良的控制品质。
Injection moulding filling and holding process close loop PID and model reference adaptive control are presented. Discussion about parameter selection for filling and holding control is made.
本文采用PID及模型参考自适应控制对注塑机注射及保压阶段进行闭环控制，并分析讨论了注射保压阶段控制参数的选取。
Because of using the adaptive fuzzy PID control, the instrument has better control function for different parameter model system.
在这里采用了模糊自适应PID的控制方法，使仪表对不同参数模型的系统均具有较好的控制性能。
Combining a new parameter identification algorithm capable of online time varying delay prediction with internal model control, an adaptive IMC algorithm for time varying delay systems is proposed.
把一种新的能在线估计时变时滞系统参数的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。
Combining a new parameter identification algorithm capable of online time varying delay prediction with internal model control, an adaptive IMC algorithm for time varying delay systems is proposed.
把一种新的能在线估计时变时滞系统参数的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。
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