Embedded Systems Laboratory


In the Embedded Systems Laboratory we over the years build several devices, sensors for used in industrial applications, some of them are commercial products. This includes Vibration analysis systems (sensors, data acquisition units), hardware and software for an alternative fuel injection controller for automotive applications and others. We are equipped to develop and prototype micro controller based systems/sensors and the corresponding computer applications. The Embedded Systems Laboratory is equipped to study different mechatronics devices (two robots, two XYZ-tables, an industrial conveyor belt) and has a fully equipped electronics workplace (4 channel scope, function generator, two precision multi-meters, a micro controller programmer, e.t.c).

Model Predictive Control
The objective in control is to determine inputs to a system such that the outputs exhibit the desired behavior. In practice the input can not be chosen entirely freely but has to satisfy constraints. Many different control strategies have been developed to solve this problem including control strategies for hybrid systems. In situations where optimal operation is at an extremum of the constraint set or the process is nonlinear one single control strategy can not satisfy all objectives over the entire runtime of the system and it is difficult to handle constraints with some control strategies. To overcome these problems we propose a control algorithm that combines several different control strategies into one controller.
Hybrid Systems
In engineering mathematics discontinuities appear in many equations. Based on our theory for closed form solutions of differential equations with piecewise coefficients or perturbation, we perform further research on the theoretical and computational aspect of piecewise functions.