Projects per year
Introduction / mission
The ECS Lab focusses on co-design and optimization methods for control systems implemented on resource-constraint embedded platforms.
Tool support and education related updates are available here.
What we do
Most modern control systems (e.g. automotive control systems, high-precision motion systems) are realized on embedded platforms. Embedded platforms are constrained by one or more resources, e.g. computation, communication, memory, energy/power. Platform architecture, control software and scheduling play a key role to achieve functional correctness (e.g. stability and performance) of the embedded controllers. The ECS Lab focusses on implementation-aware analysis and co-design of feedback control systems.
One specific focus has been on design and analysis of image-based control loop, e.g. advanced driver assistant systems, imaged-based high-precision carrier systems. Due to compute-heavy nature of image-processing, processing architecture, choice of algorithm, implementation and accuracy are important design aspects. We further look at efficient design flow facilitating code-generation, testing, debugging and tooling using hardware/software/model-in-the-loop (HIL/SIL/MIL) experiments.
Other focus on cooperative autonomous driving (using V2X and in-vehicle communication for example) complying with standards such IEEE 802.11p, FlexRay, TT Ethernet for an improved deployability of such technologies. We develop realistic simulation environment both in SIL and HIL (multi-layer toolchain for control, communication and network).
From the cloud to the edge - smart IntegraTion and OPtimization Technologies for highly efficient Image and VIdeo processing Systems
Geilen, M. C. W., Basten, A. A. (., Goossens, K. G. W., Goswami, D., Sanchez, V., Tabatabaei Nikkhah, S., Azarmi, R., Elahi, H., van den Berg, F., Hendriks, M., Beigmohammadi, S., van der Hagen, D., Mohamed, S. & de Mol-Regels, M.
1/06/18 → 30/11/21
Project: Research direct
Adaptive predictive control for pipelined multiprocessor image-based control systems considering workload variationsMohamed, S., Saraf, N., Bernardini, D., Goswami, D., Basten, A. A. T. & Bemporad, A., 11 Jan 2021, 2020 59th IEEE Conference on Decision and Control, CDC 2020. Institute of Electrical and Electronics Engineers, p. 5236-5242 7 p. 9303827
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-reviewOpen AccessFile19 Downloads (Pure)
De, S., Huang, Y., Mohamed, S., Goswami, D. & Corporaal, H., 2021, (Accepted/In press).
Research output: Contribution to conference › PaperFile
Ibrahim, A. M. E., Goswami, D., LI, H., Martin Soroa, I. & Basten, A. A. T., Mar 2021, In : Transportation Research Part C: Emerging Technologies. 124, 34 p., 102905.
Research output: Contribution to journal › Article › Academic › peer-reviewOpen Access
24 Sep 2020
Student thesis: MasterFile
21 Oct 2020
Supervisor: Goswami, D. (Supervisor 1) & van der Heide, A. (External person) (External coach)
Student thesis: Master