James Stori

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neural network methodology is developed for air-to-fuel AM ratio control of automotive fuel-injection systems. The dynamics of intemal combustion engines and fuel-injection systems are extremely nonlinear, impeding methodical application of control theories. Thus, the design of standard production controllers relies heavily upon calibration and look-up(More)
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