An improvement self tuning dynamic matrix control algorithm is proposed in this paper.
提出了一种改进自校正动态矩阵控制算法。
First, an approximation algorithm for self-tuning regulator is suggested.
首先提出了自校正调节器的一种近似算法。
For stochastic dynamic processes, the paper presents an adaptive tracking algorithm, which improves and generalizes the self-tuning control algorithm.
本文将自校正控制算法加以改进和推广，提出了一种跟踪随机动态过程的自适应算法。
An algorithm for robust weighted prediction self-tuning control is proposed for the plant with control action constrained in this paper.
针对控制幅值受限的、含稳定的未建模动态和有界干扰的对象，给出了一种鲁棒加权预报自校正控制算法。
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。
In this paper, a new automatic tuning method of PID controller based on dynamic neural network is proposed and an online parameter tuning algorithm is given out.
提出一种基于动态神经网络的PID控制器，给出pid参数在线自整定学习控制算法，并进行了算法仿真研究。
In accordance with biological immune-system characteristics the authors have come up with a method of self-tuning PID controller parameters on the basis of an immune evolutionary algorithm.
根据生物免疫系统特性，提出了一种基于免疫进化算法的PID控制器参数自整定方法。
An algorithm of the optimal prediction self-tuning PID controller that overcomes time-varying large lag and parameters is presented in this paper.
本文提出了一个克服时变大时滞及被控过程参数时变的最优预报自校正PID控制算法。
An improved fuzzy logical algorithm is proposed which is suitable for self tuning parameters online in PID controller.
提出一种在线修正pid参数的模糊控制器改进算法。
An on-line adaptive tuning algorithm for the consequent parameters in the fuzzy rules is also designed.
给出了模糊规则后件参数的自适应学习方法。
An active noise self-tuning model predictive control approach is derived. An on-line learning algorithm is proposed for adjusting the uncertain model parameters.
将预测控制方法应用到有源噪声控制领域，给出了一种参数在线自适应算法，该算法的收敛速度不受次级声路径响应的影响。
An active noise self-tuning model predictive control approach is derived. An on-line learning algorithm is proposed for adjusting the uncertain model parameters.
将预测控制方法应用到有源噪声控制领域，给出了一种参数在线自适应算法，该算法的收敛速度不受次级声路径响应的影响。
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