Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This textbook brings together machine learning, engineering mathematics, …
Being a biomathematician and neuroscientist, I found that Izhikevich's book "Dynamical Systems in Neuroscience" is a great reference to broaden …
In order to model neuronal behavior or to interpret the results of modeling studies, neuroscientists must call upon methods of …
The classical three-body problem is of great importance for its applications to astronomy and space navigation, and also as a …
Unifying the most important methodology in this field, Multi-Resolution Methods for Modeling and Control of Dynamical Systems explores existing approximation …
The book deals with a new way to conceive bio-robotics, linking this subject to the theory of nonlinear dynamical systems …
