joint work with Filippo Pecci, Ivan Stoianov
We consider the problem of optimal pressure and energy control of water distribution systems without storage capacity. We formulate the problem as a nonlinear, nonconvex program and employ an interior point algorithm (IPOPT) for its efficient solution. We present our results from a case study using a large scale, real network from UK.
joint work with Timo Burggraf, Michael Joswig, Marc Pfetsch, Stefan Ulbrich
Modern combustion engines incorporate a number of actuators and sensors that can be used to control and optimize the performance and emissions. We describe a semi-automatic method to simultaneously measure and calibrate the actuator settings and the resulting behavior of the engine. The method includes an adaptive process for refining the measurements, a data cleaning step, and an optimization procedure. The combination of these techniques significantly reduces the number of measurements required to achieve a given set of calibration goals. We demonstrate our method on practical examples.