The problem of satisfactory PID control for a class of stochastic systems with constraints on dynamic error coefficient, steady-state output variance and relative stability margin is considered.
研究一类随机系统具有期望的动态误差系数、稳态输出方差和相对稳定裕度约束的满意PID控制问题。
But if single neuron PID controller designed in terms of BPNN Theory is adopted, the control effect is not satisfactory because the learning rate and speed of convergence are slow.
使用常规pid控制很难满足手指精确位置控制的要求，而采用依据BPNN原理设计成的常规单神经元pid控制器又因学习速率低，收敛速度慢，控制效果不能令人满意。
The experiment shows that basic PID control can gat the satisfactory result.
实验表明，基本PID控制在控制系统中已经能够取得基本满意的效果。
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