This paper presents a new self-tuning control consisting of a dual mode control by use of STR-MV and the on-line regulation parameter which is unnecessary to be identified.
本文提出一种由自校正调节器—最小方差控制器（以下简记为STR—MV）的双模控制和在线修正不辨识参数所构成的新的自校正控制方法。
A new type of adaptive PID controller using diagonal recurrent neural network (DRNN) is presented. An on-line learning algorithm based on PID parameter self-tuning method is given.
提出了一种基于对角回归神经网络的PID控制器结构，给出了PID参数在线自整定的学习控制算法。
On-line estimator method of the process parameters was introduced in application, which achieved the parameter self-tuning of feedback controller. The effectiveness of the proposed metho…
在应用上提出了过程参数在线估计方泫，实现反馈控制器的参数自整定，通过仿真验证了算法的有效性。
Parameter on-line self-tuning fuzzy controller based on genetic algorithm;
提出了一种位置伺服系统速度调节器参数自调整的方法。
Parameter on-line self-tuning fuzzy controller based on genetic algorithm;
提出了一种位置伺服系统速度调节器参数自调整的方法。
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