Control based on Data-Intensive Sensing
The goal of the project is the development of robust control methods for the automated scheduling and control of (constrained) resources, such as actuators, sensors and processing algorithms. These methods are especially interesting in the contexts of embedded and networked systems under data-intensive processing tasks.
PhD Candidate: Eelco van Horssen MSc
Supervisor: prof.dr.ir. Maurice Heemels, dr. Duarte Antunes
Promotor: prof.dr.ir. Maurice Heemels
Project Financing: Dutch Technology Foundation (STW) grant number 12697
Project Period: February 2014 – February 2018
To cope with increasing performance demands, limitations on available resources, large computation effort and robustness issues, the development of the next generation of embedded control platforms for high-tech systems needs methods to bring together the fields of communication, computation and control in the research and design phase. This is the Cyber-Physical Systems (CPS) approach, where these "Cyber" fields come together to develop systems that interact with the Real "Physical" world. This approach introduces new problems in the design of these systems such as strain on communication, computation and control and the introduction of new external, disturbances, and internal, uncertainty and complexity.
The goal of the project is the development of robust control methods for the automated scheduling and control of (constrained) resources, such as actuators, sensors and processing algorithms.
The new methods should provide developers of next generation high tech systems with a framework to make trade-offs on resources and performance goals in automated control systems. Such methods are of interest, in particular, to Technolution and FEI for the development of the next generation of FEI systems for electron microscopy.