Richard M. Murray

TL;DR: This paper identifies pressing challenges in synthetic biology that can be formulated as systems and control theoretic problems and outlines potentially new system and control theories/tools that are required to tackle such problems.

TL;DR: An algorithm for synthesizing correct-by-construction robotic controllers in environments with uncertain but fixed structure is presented, and it is shown that if a nominal plan fails, one need not resynthesize it entirely, but instead can “patch” it locally.

TL;DR: Synthetic biology as a field might best be characterized as a learn-by-building approach, in which scientists attempt to engineer molecular pathways that do not exist in nature, in doing so, they test the limits of both natural and engineered organisms.

TL;DR: In this article, the authors present a linear model for the cavity flow, based on the physical mechanisms of the familiar Rossiter model, and demonstrate the peak-splitting phenomena mentioned above, using the physics-based model to study the phenomena.

TL;DR: In this article, the authors provide accurate dynamical models of oscillations in the flow past a rectangular cavity, for the purpose of bifurcation analysis and control, based on the method of Proper Orthogonal Decomposition (POD) and Galerkin projection, they obtain low-order models which capture the dynamics very accurately over a few periods of oscillation, but deviate for long time.