PICASSO will contribute to the development of novel adaptive and robust controllers. More specifically it will ensure that controllers for machines that incorporate coupled interaction between air and a moving and/or deforming structure (yarn, fibre, particle, droplet, ...) can be both efficiently designed and realized. Examples of such machines are textile machines and agricultural machines.

The first innovation goal of PICASSO is to develop control strategies that can achieve faster commissioning and have improved real-time adaptive tuning capabilities. To achieve this, we require faster simulation environments, more accurate characterization of the various process uncertainties, improved control, and controllers that are better informed about real-time behaviour of the process (e.g. through (vision) sensors).

To support improved control and monitoring of the process, as required to accelerate deployment, PICASSO will develop tools to leverage state-of-the-art fluid-structure interaction models as second innovation goal. This will ensure that the influence of uncertainties and variations can be estimated and quantified based on sensor information.

Finally, as third innovation goal, PICASSO will improve the capabilities of video processing routines by embedding the physics in the video processing procedures. This will lead to an increase in accuracy of this sensor. This information will be used both to quantify the uncertainties and as a post-processing tool to monitor control performance.