โ Scribed by Satoshi Takagi; Takeshi Sakamaki; Shigeyuki Morita; Takeshi Takiyama; Masuo Takigawa
No coin nor oath required. For personal study only.
Three-way catalyzer (TWC) is the most common exhaust gas treatment device for gasoline engines. A/F must be, however, kept within very narrow range. The conventional engine control system can maintain this by 02 feedback in a steady state, but not in a transient state. To overcome this, feed-forward control was provided using the neural network (NN) which is suitable to nonlinear behavior. Moreover, the NN has an adaptive ability by providing an on-line backpropagation loop, so that it can deal with different characteristics of same-type engines, aging in the same engine, and so on. In the experiments, relatively good results were obtained.
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A self-organizing neural network model is proposed to generate the skeleton of a pattern. The proposed neural net is topology-adaptive and has a few advantages over other self-organizing models. The model is dynamic in the sense that it grows in size over time. The model is especially designed to pr