In this review paper, the integration of Machine Learning (ML) and Model Predictive Control
(MPC) in Automotive Control System (ACS) applications are discussed. ACS can be divided …

An internal combustion engine (ICE) is a highly nonlinear dynamic and complex
engineering system whose operation is constrained by operational limits, including …

Control systems have come to play an important role in the performance of modern vehicles
with regards to meeting goals on low emissions and low fuel consumption. To achieve these …

This paper describes a detailed analysis of the unsteady flows in the intake and exhaust
systems of a modern four-cylinder, turbocharged Diesel engine with different EGR circuits …

This paper deals with a control design problem for a diesel engine air path system that has
strong nonlinearity and requires multi-input and multi-output control to satisfy requirements …

The turbocharged diesel engine is a typical multi-input multioutput system with strong
couplings, actuator constraints, and fast dynamics. This paper addresses the exhaust …

Control of exhaust gas recirculation (EGR) and variable geometry turbine in diesel engines
is a challenging problem and model predictive control (MPC) seems to be a promising …

This paper deals with the problem of fuzzy nonlinear model identification in the framework of
a local model network (LMN). A new iterative identification approach is proposed, where …

Increasingly stringent emissions legislation combined with consumer performance demand
has created the need for complex automotive engines. The control of this complex system …

A multiobjective optimisation engineering design (MOED) methodology for PI controller
tuning in multivariable processes is presented. The MOED procedure is a natural approach …