Combine blur control with general PID control, on line self-adjusting PID parameters according to different error and error variety-rate, which is called PID parameters self-tuning blur controller.
将模糊控制与常规pid控制相结合，根据不同的误差、误差变化率对PID的参数进行在线自动调整，这就是PID参数自整定模糊控制器。
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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