Optimization through meta-heuristics in electric vehicular (EV) transport has emerged as the
key to improve the existing technologies and pave way for their mass deployment and …

A nonlinear model predictive control (NMPC) for the thermal management (TM) of plug-in
hybrid electric vehicles (PHEVs) is presented. TM in PHEVs is crucial to ensure high …

Trajectory following of autonomous vehicle is a challenging task because of the multiple
constraints imposed on the plant. Therefore, Model Predictive Control (MPC) is becoming …

A two-phase model predictive controller (MPC) is proposed for underactuated surface vessel
operation in confined environments. For general driving maneuvers (phase one) the ship's …

Model predictive control (MPC) has become more relevant to vehicle dynamics control due
to its inherent capacity of treating system constraints. However, online optimization from …

In this work, we show that the differential kinematics of slider–pusher systems are
differentially flat assuming quasi-static behavior and frictionless contact. Second, we …

This paper presents an overview of various methods used to minimize the fluctuating
impacts of power generated from renewable energy sources. Several sources are …

Generally, fuel cell (FC) power supplies cannot respond fast enough to dynamic load
requirements. This research presents an energy management system for hybrid power …

A Fuel cell (FC) hybrid power system is a promising solution to deal with the atmospheric
pollution and fossil fuels shortage problems. This thesis focuses on the controller design for …

In areas where adequate water resource is available, hydrokinetic energy conversion
systems are currently gaining recognition, as opposed to other renewable energy sources …