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– Titre : Nanoscale control theory
– Résumé : Modelling and design of interconnected nanoscale systems, such as electronic circuits or biochemical networks, call for a rewriting of the rulebook of control theory. In order to agree with fundamental laws of nature, such as microscopic reversibility and ubiquitous thermal noise, one must merge dissipative systems theory on the one hand, with stochastic thermodynamics on the other hand.
An overarching theme is the trade-off between dissipation and various objective functions such as precision or speed. We introduce and illustrate those trade-offs on a range of systems, from molecular motors to ultra-low-power electronic memories.
An overarching theme is the trade-off between dissipation and various objective functions such as precision or speed. We introduce and illustrate those trade-offs on a range of systems, from molecular motors to ultra-low-power electronic memories.
– Biographie : Jean-Charles Delvenne received the M. Eng. degree (2002) and a Ph.D. (2005) in Applied Mathematics from Université catholique de Louvain, Louvain-la-Neuve, Belgium. After positions at the California Institute of Technology, the Imperial College London, and the University of Namur, he has been Professor of Applied Mathematics at Université catholique de Louvain, Louvain-la-Neuve, Belgium since 2010. His research interests include networked dynamical systems, statistical physics, information theory, complex networks and data science. His works have found applications in neurosciences, biochemistry, social sciences, geography, biophysics and electronics.