Research

Research

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 Waqas - NEST

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 Behrouzian - ALMARVI

Amir has successfully defended his thesis on 21 December, 2018. You can download his thesis here.

Worst-case temporal analysis of real time applications realized on shared heterogeneous resources

Hadi Alizadeh - ALMARVI

Embedded applications are being realized on multiprocessor systems and share its resources for cost and power reasons. These applications have temporal constraints such as latency or throughput. Sharing resources introduces temporal interference between applications and adds new uncertainties to the temporal behavior of the applications. In this project we introduce analysis techniques to verify that the applications always meet their real time constraints in presence of uncertainties. Verification is done by providing the worst case temporal bounds of the applications.

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)

Sajid Mohamed - oCPS

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).