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This work presents an optimization algorithm to solve quadratic sub problem in neural predictive control of AFR in SI engines. The solution of quadratic programming is computationally efficient and works in conjunction with offline trained NNARX model for AFR identification. Use of offline trained model and its linearization can invite some model mismatch in presence of engine uncertainties. This...
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