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• W2008663242 abstract "In this paper, we present a new PID control technique based on auto-tuning neurons for multivariable systems. The main difference between an auto-tuning neuron and a general neuron is that there are adjustable parameters of the activation function used in an auto-tuning neuron. In this paper, a modified hyperbolic tangent function is used as the activation function of an auto-tuning neuron, which provides two adjustable parameters to flexibly determine the magnitude and the shape of function. We then use such auto-tuning neurons to find gains of the multivariable PID controller, which is tuned on-line according to certain adaptation laws. Finally, two illustrative examples will be used to compare the performance by using our proposed method and other methods." @default.
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• W2008663242 date "2003-02-01" @default.
• W2008663242 modified "2023-09-24" @default.
• W2008663242 title "A multivariable on-line adaptive PID controller using auto-tuning neurons" @default.
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• W2008663242 doi "https://doi.org/10.1016/s0952-1976(03)00023-x" @default.
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