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。
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.
针对其存在非线性、参数时变和大延迟等难以控制的特性，提出基于T - S模糊模型的预测函数控制新方法。
As the nonlinearity, time-varying parameters and large lag make the control difficult, a predictive functional control method based on T-S (Takagi-Sugeno) fuzzy model is presented.
深海自行走履带采矿车作业过程，受到作业环境和采矿车自身的影响，具有未知性、随机性、非线性等特性。
On the effect of environment and mining vehicle itself, deep seabed Self-propelled tracked mining machine mining process has characteristics of unknown, random, and nonlinear etc.
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