Cyber-physical systems embed software into the physical world. They appear in a wide
range of applications such as smart grids, robotics, and intelligent manufacturing. Cyber …

This article proposes an algorithm for solving multivariate regression and classification
problems using piecewise linear predictors over a polyhedral partition of the feature space …

Dynamical systems and processes that either exhibit non-smooth behaviours (eg through
logic control or natural phenomena) or work in different modes of operation are usually …

Stochastic differential equations (SDEs) are mathematical models that are widely used to
describe complex processes or phenomena perturbed by random noise from different …

BACterial Hosts for production of Bioactive phenolics from bERRY fruits (BacHBerry) was a
3-year project funded by the Seventh Framework Programme (FP7) of the European Union …

In this paper, we consider an important practical industrial process identification problem
where the time delay can change at every sampling instant. We model the time-varying …

This paper investigates the learning, or system identification, of a class of piecewise-affine
dynamical systems known as linear complementarity systems (LCSs). We propose a …

This paper addresses the identification of discrete time switched nonlinear systems, which
are collections of discrete time nonlinear continuous systems (modes) indexed by a finite …

The identification of switched systems is a challenging problem, which entails both
combinatorial (sample-mode assignment) and continuous (parameter estimation) features. A …

System Identification is used to build mathematical models of a dynamic system based on
measured data. To design the best controllers for linear or nonlinear systems, mathematical …