- Dr Alex Leong, DST
Cyberphysical systems (CPS) integrate sensors, communication networks, controllers, dynamic processes and actuators. CPS play an increasingly important role in modern society, in areas such as:
Due to the interplay between control systems, communications and computations, the design of CPS requires novel approaches, which bridge disciplinary boundaries.
We're interested in developing engineering science and methods for the analysis and design of CPS operating in closed loop. Our research brings together elements of control systems engineering, as well as telecommunications and reinforcement learning.
Successful candidates will create solutions to scheduling problems that arise in estimation and control of networked CPS.
This involves studying the mathematics underpinning some of the following topics:
- Kalman filtering
- stochastic control
- Markov chains
- reinforcement learning.
We expect the research project to give rise to
- new scheduling and/or control algorithms
- thorough mathematical analysis
- useful simulation-based performance studies.
Skills and experience
You'll need to have sound mathematical skills and also some experience with MATLAB, C or Python.
You may be eligible to apply for a research scholarship.
Contact the supervisor for more information.