This paper presents a multi-step procedure to construct the dynamic moti...
In order to make data-driven models of physical systems interpretable an...
The paper proposes an efficient trajectory planning and control approach...
The SUBNET neural network architecture has been developed to identify
no...
This paper presents two direct parameterizations of stable and robust li...
Using Artificial Neural Networks (ANN) for nonlinear system identificati...
The paper proposes two control methods for performing a backflip maneuve...
Continuous-time (CT) models have shown an improved sample efficiency dur...
The present paper treats the identification of nonlinear dynamical syste...
Identifying systems with high-dimensional inputs and outputs, such as sy...
Nonlinear state-space identification for dynamical systems is most often...
Estimating 3D orientation and translation of objects is essential for
in...
Model structure and complexity selection remains a challenging problem i...
State-of-the-art methods for data-driven modelling of non-linear dynamic...