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神经网络首先用于解决模式识别问题。随着80年代神经网络理论的突破性进展，神经网络控制引起控制界的广泛注意。由于系统的复杂性，存在多种不确定性及难以确切描述的非线性。现代工业对工业过程控制不仅要求控制的精确性，还要求控制的鲁律性、实时性、容错性及对控制参数的?
Neural networks are first used to solve pattern recognition problems. With the breakthrough of the neural network theory in the 80’s, the control of the neural network has drawn extensive attention in the field of control. Due to the complexity of the system, there are a variety of uncertainties and difficult to accurately describe the nonlinear. Modern industrial control of industrial processes not only requires the accuracy of control, but also requires control of the law, real-time, fault tolerance and control parameters?