Papers by Cosimo De russis
Electronic system for calculating injection time
IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 2003
Maximization of the catalyst efficiency in automotive fuel-injection engines requires the design ... more Maximization of the catalyst efficiency in automotive fuel-injection engines requires the design of accurate control systems to keep the air-to-fuel ratio at the optimal stoichiometric value AF . Unfortunately, this task is complex since the air-to-fuel ratio is very sensitive to small perturbations of the engine parameters. Some mechanisms ruling the engine and the combustion process are in fact unknown and/or show hard nonlinearities. These difficulties limit the effectiveness of traditional control approaches. In this paper, we suggest a neural based solution to the air-to-fuel ratio control in fuel injection systems. An indirect control approach has been considered which requires a preliminary modeling of the engine dynamics. The model for the engine and the final controller are based on recurrent neural networks with external feedbacks. Requirements for feasible control actions and the static precision of control have been integrated in the controller design to guide learning toward an effective control solution.
A fine control of the air-to-fuel ratio with recurrent neural networks
IMTC/98 Conference Proceedings. IEEE Instrumentation and Measurement Technology Conference. Where Instrumentation is Going (Cat. No.98CH36222)
Abstract A fine control of the air-to-fuel ratio is a fundamental issue to minimise exhaust emiss... more Abstract A fine control of the air-to-fuel ratio is a fundamental issue to minimise exhaust emissions in automotive fuel injection systems. Traditional approaches have limited effectiveness since the air-to-fuel ratio is sensitive to small engine perturbations, some ...
Uploads
Papers by Cosimo De russis