Legged robots have proven to be a promising locomotion system, capable of performing
tasks that conventional vehicles cannot perform. Even more exc-ing is the fact that this is a …

This study investigates the effects of engine speed, load, ignition timing and excess air
coefficient on the ionization current and presents an artificial neural network model to predict …

Predicting the amount of combustion generated nano-scale particulate matter (PM) emitted
by gasoline direct injection (GDI) is a challenging task, but immensely useful for engine …

For better stability of ion current employed for in-cycle combustion diagnosis and feedback
control, this research develops a digital post-processing unit for in-cylinder ion current …

This paper outlines a simplified mechanism for methane oxidation for modelling the ion
current in internal combustion engines. The mechanism was used to simulate a laminar …

Two spark advance control systems are outlined; both based on feedback from nonlinear
neural network soft sensors and ion current detection. One uses an estimate on the location …

Recent research on the use of ion current has focused on matching the characteristics of the
in-cylinder pressure, thus avoiding the use of a pressure transducer. This paper explores …

A robust air/fuel ratio" soft sensor" is presented based on non-linear signal processing of the
ion current signal using neural networks. Care is taken to make the system insensitive to …

This paper presents a modelling study of the ion current formed in a direct-injection diesel
engine via chemical kinetics in order to investigate the strong correlation observed …

Knock detection is critical for maintaining engine performance and preventing damage in
spark-ignition engines. This study explores the use of ion current and knock indicators …