Learning the dynamics of nonlinear systems with regional stability guarantees through linear matrix inequality constraints

Daniel Frank, Fahim Shakib, Steffen Staab

This paper presents a method that learns a regionally stable recurrent neural network model from a set of input-output data generated by an unknown dynamical system. Relying on gen…