In order to overcome the nonlinearity and time-varying uncertainty of actual industrial processes, an adaptive control system based on linearization error model is proposed.
针对实际工业生产过程中的非线性、时变不确定性,提出了一种基于线性化误差模型的自适应控制系统。
Combining information entropy, wavelet analysis with neural network, an adaptive control system and an adaptive control algorithm are presented for machining process based on wavelet neural network.
把信息熵、小波分析和神经网络相结合,提出了基于小波神经网络的加工过程自适应控制系统度其自适应拉制算法。
Combining fuzzy control with expert system, author presents an expert adaptive fuzzy controller and its application for a 500mw power plant boiler water level control.
本文将模糊控制与专家系统结合起来,提出了专家自适应模糊控制器,并将其应用于500 MW机组仿真机锅炉水位控制中。
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