To the widely existed characteristics of time-delay, non-linear and timevarying of parameters in the industry process, an adaptive neuron-fuzzy PID controller based on optimal prediction is presented.
针对工业过程中普遍存在的时滞、非线性、对象参数时变等特性，提出了一种基于最优预测的神经元模糊自整定PID控制算法。
By taking account of nonlinearity, time variation and unsteadiness of idling process in engines, this paper studies the application of fuzzy control theory in the idling speed control.
考虑到发动机怠速工作过程的非线性、时变性和不确定性，研究了模糊控制理论在发动机怠速控制中的应用。
To improve the large-time delay characteristics of the boiler, the rule-based fuzzy predictor is used to predict the process output.
针对锅炉对象大迟延特性，采用基于规则的方法，利用模糊预估策略对过程的输出进行预测。
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