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In this paper,the problem of stochasticL2disturbance attenuation of the air-fuel ratio is investigated with consideration of cyclic variation of the residual gas fraction(RGF).A stochastic robust controller is designed based on a discrete-time dynamic model in which the RGF is modeled as a stochastic process with Markovian property.Finally,the sampling process-based statistical analysis for the RGF and the validation of the proposed control law are presented through the experiments conducted on a gasoline engine test bench.
In this paper, the problem of stochasticL2disturbance attenuation of the air-fuel ratio is investigated with consideration of cyclic variation of the residual gas fraction (RGF). A stochastic robust controller is designed based on a discrete-time dynamic model in which the RGF is modeled as a stochastic process with Markovian property .Finally, the sampling process-based statistical analysis for the RGF and the validation of the proposed control law are presented through the experiments conducted on a gasoline engine test bench.