Ludovic Renson

The paper introduces an embedded extremum seeking controller that optimizes cellular behavior using synthetic genetic circuits without external sensing or actuation.

This paper introduces a kernel filter for adaptive control in biological systems, showing improved performance over particle filters in parameter estimation and control accuracy.

The paper demonstrates that adaptive model predictive control can steer cancer cell signaling dynamics to mimic wild-type cells and support combination therapy design.

This paper introduces Control-Based Continuation (CBC) for analyzing synthetic gene networks, showing it can track bifurcation curves without relying on mathematical models and can identify bistability.

This paper explores using control-based continuation to track dynamical features of biochemical systems, specifically bistable dynamics in gene regulation of pluripotency in embryonic stem cells.