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When the dynamic sliding mode control (DSMC) is applied to maintain the stoichiometric value of air-fuel ratio for automobile engines, the model-plant mismatch and some time-varying parameters cause negative influence on the control performance. This paper proposes a neural network parameter adaptation method for two immeasurable control parameters and to compensate the model uncertainty, so that...
A novel application of a second-order sliding mode control (SMC) scheme for the fuel injection control of automobile internal combustion (IC) engines is developed in this paper. In this scheme, the sliding surface, S(x(t)) is steered to zero in finite time by using the discontinuous first-order derivative of a control variable, u(t) and the corresponding actual control variable, u(t) turns out to...
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