SySOS
Welcome to SySOS
Researching complex networked control systems, biological and technological
Our group develops tools and algorithms for the analysis and design of feedback control in biological and technological systems with applications in a range of areas, from synthetic biology to fluid mechanics.
Our research areas include:
- Nonlinear system analysis, sum of squares optimisation and Lyapunov techniques.
- Systems, engineering and synthetic biology.
- Robust analysis and design of (deep) neural network controllers.
- Safe decision making, safe reinforcement learning.
- Scaling sum of squares and semidefinite programming.
- Large-scale networked systems analysis with communication and structural constraints.
- Fluid mechanics and heat transfer from a control perspective.
You can read more about our research here.