A terminal state equality constraint for Model Predictive Control (MPC) laws is investigated,
where the terminal state/input pair is not fixed a priori but it is a free variable in the …

This paper describes the design of a multivariable, constrained Model Predictive Control
(MPC) system for torque tracking in turbocharged gasoline engines scheduled for …

This paper provides a comparative assessment of three economic optimal control strategies,
aimed at minimizing the fuel consumption of heavy-duty trucks in a highway environment …

This paper provides a comparative assessment of three control strategies that fuse a global,
offline dynamic programming (DP) optimization with online model predictive control (MPC) …

Systems and Control Limited (ISC) and for the University of Strathclyde's Industrial Control
Centre (ICC) in Glasgow. The former (ISC Limited) is a consulting company established by …

Abstract Model Predictive Control (MPC) has been investigated for a significant number of
potential applications to automotive systems. The treatment of these applications has also …

This paper proposes a model-based nonlinear receding horizon optimal control scheme for
the engine torque tracking problem. The controller design directly employs the nonlinear …

This paper presents a model predictive online optimization scheme for the engine torque
control problem. The control-oriented model is based on the intake air charging dynamics …

In this paper, an analytic constrained nonlinear state feedback for torque control of a
gasoline engine is designed. The state feedback is based on the mean-value model of the …

A torque-based nonlinear predictive control approach is developed to manipulate the
automotive powertrain in this paper. This approach consists of three components, ie torque …