Elisa Franco

Learn More
1 Dartmouth College, Thayer School of Engineeing, Hanover, NH 03755. olfati@dartmouth.edu (the corresponding author) 2 University of Trieste, Department of Electrical, Electronic, & Computer Engineering, Trieste, Italy. efranco@univ.trieste.it 3 University of California, Los Angeles, Mechanical & Aerospace Engineering, Los Angeles, CA 90095.(More)
This paper addresses the problem of cooperative control of a team of distributed agents with decoupled nonlinear discrete-time dynamics, which operate in a common environment and exchange-delayed information between them. Each agent is assumed to evolve in discrete-time, based on locally computed control laws, which are computed by exchanging delayed state(More)
The realization of artificial biochemical reaction networks with unique functionality is one of the main challenges for the development of synthetic biology. Due to the reduced number of components, biochemical circuits constructed in vitro promise to be more amenable to systematic design and quantitative assessment than circuits embedded within living(More)
ELISA FRANCO, DAVID N. PEKAREK, J IFENG PENG AND JOHN O. DABIRI Control and Dynamical Systems, California Institute of Technology, Pasadena, CA 91125, USA Mechanical Engineering, California Institute of Technology, Pasadena, CA 91125, USA Bioengineering, California Institute of Technology, Pasadena, CA 91125, USA Graduate Aeronautical Laboratories,(More)
The molecular circuitry of living organisms performs remarkably robust regulatory tasks, despite the often intrinsic variability of its components. A large body of research has in fact highlighted that robustness is often a structural property of biological systems. However, there are few systematic methods to mathematically model and describe structural(More)
In vitro compartmentalization of biochemical reaction networks is a crucial step towards engineering artificial cell-scale devices and systems. At this scale the dynamics of molecular systems becomes stochastic, which introduces several engineering challenges and opportunities. Here we study a programmable transcriptional oscillator system that is(More)
Engineering of cell fate through synthetic gene circuits requires methods to precisely implement control around native decision-making pathways and offers the potential to direct cell processes. We demonstrate a class of genetic control systems, molecular network diverters, that interface with a native signaling pathway to route cells to divergent fates in(More)
Biomolecular circuits with two distinct and stable steady states have been identified as essential components in a wide range of biological networks, with a variety of mechanisms and topologies giving rise to their important bistable property. Understanding the differences between circuit implementations is an important question, particularly for the(More)
Molecular systems are uncertain: The variability of reaction parameters and the presence of unknown interactions can weaken the predictive capacity of solid mathematical models. However, strong conclusions on the admissible dynamic behaviors of a model can often be achieved without detailed knowledge of its specific parameters. In systems with a(More)