Research
Research Topics
- Scheduling and Variation-aware Design of Self-re-entrant Flowshops
- Performance analysis and optimization of supervisory controllers
- Modular Specification and Design Exploration for Flexible Manufacturing Systems
- Optimization of product flows in flexible manufacturing systems
- Firmness analysis of real-time tasks
- Modelling and analysis of multi-scale streaming applications
- Cost-effective implementations of data intensive controllers
- Co-design of control and streaming applications considering trade-offs between quality-of-control (QoC) and quality-of-service (QoS)
This page contains an overview of the research that is/was carried out in the ES group related to CPS.
Scheduling and Variation-aware Design of Self-re-entrant Flowshops
Umar has successfully defended his thesis on 23 November, 2017. You can download his thesis here.
Performance analysis and optimization of supervisory controllers
Bram van der Sanden - Robust CPS program
Bram has successfully defended his thesis on 22 November, 2018. You can download his thesis here.
Modular Specification and Design Exploration for Flexible Manufacturing Systems
João Bastos - Robust CPS program
João has successfully defended his thesis on 03 December, 2018. You can download his thesis here.
Optimization of product flows in flexible manufacturing systems
Joost van Pinxten - Robust CPS program
Joost has successfully defended his thesis on 20 December, 2018. You can download his thesis here.
Firmness analysis of real-time tasks
Amir has successfully defended his thesis on 21 December, 2018. You can download his thesis here.
Modelling and analysis of multi-scale streaming applications
Hadi has successfully defended his thesis on 21 March, 2019. You can download his thesis here.
Cost-effective implementations of data intensive controllers
Robinson Medina Sanchez - Robust CPS program
Data intensive controllers are control systems which uses a data intensive device as a one of its sensors (e.g a camera). These systems are common in industrial applications, robotics or Advanced driver assistance systems (ADAS). The signal processing algorithm used to extract relevant information from the sensor creates challenges from the control domain such as stability and performance and from the embedded domain such as throughput and latency. In this project, we design resource-efficient implementations of control systems with data-intensive by using not only control design techniques but also analysis tools from the embedded domain
Co-design of control and streaming applications considering trade-offs between quality-of-control (QoC) and quality-of-service (QoS)
The project aims to develop new analysis and design methods that are capable of taking into account various trade-off possibilities between QoC (control loops) and QoS (streaming applications). This will require novel platform-aware control algorithms that are able to adapt their sampling rate when necessary. In particular, the research will focus on combining the theoretical foundation of multi-rate controllers with synchronous dataflow/synchronous-aware dataflow to address the co-design problem. The applicability will be illustrated considering applications from healthcare (e.g., the interventional x-ray system) and automotive (e.g., advanced driver assistance system).