This paper describes the hybrid solution, based on artificial neural networks (ANNs), and the
production rule adopted in the realization of an instrument fault detection, isolation, and …

In this paper, a real-time, highly precise control-oriented model for multi-point fuel injection
SI engines is presented. Basically, the first step in the majority of control procedures is …

The paper deals with the identification of recurrent neural networks (RNNs) for simulating
the air–fuel ratio (AFR) dynamics into the intake manifold of a spark ignition (SI) engine …

This paper presents a novel control-oriented model of the raw emissions of diesel engines.
An extended quasistationary approach is developed where some engine process variables …

Increasing the degrees of freedom in the air path has become a popular way to reduce the
fuel consumption and pollutant emissions of modern combustion engines. That is why …

As a physical description of the emissions of a specific engine is seldom possible, we
present here a method to design an online dynamic estimator for PM and NOx based on …

On-line measurement of engine NOx emissions is the object of a substantial effort, as it
would strongly improve the control of CI engines. Many efforts have been directed towards …

The paper deals with the application of two techniques for the selection of the training data
set used for the identification of Neural Network black-box engine models; the research …

In the aeronautical field, aircraft reliability is strictly dependent on propulsion systems.
Indeed, a reliable propulsion system ensures the safety of pilots and passengers and the …

This thesis presents a novel methodology for deriving control-oriented models of the raw
emissions of diesel engines. An extended quasi-static approach is developed where some …