SySOS

We develop tools and algorithms for the analysis and design of feedback control in biological and technological systems for 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.