A multitude of cyber-physical system (CPS) applications, including design, control,
diagnosis, prognostics, and a host of other problems, are predicated on the assumption of …

In many industrial plants, development and implementation of advanced monitoring and
control techniques require real-time measurement of process quality variables. However, on …

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 …

Many natural systems, such as neurons firing in the brain or basketball teams traversing a
court, give rise to time series data with complex, nonlinear dynamics. We can gain insight …

We consider the problem of system identification of helicopter dynamics. Helicopters are
complex systems, coupling rigid body dynamics with aerodynamics, engine dynamics …

Finding an informative subset of a large collection of data points or models is at the center of
many problems in computer vision, recommender systems, bio/health informatics as well as …

Many complex dynamical phenomena can be effectively modeled by a system that switches
among a set of conditionally linear dynamical modes. We consider two such models: the …

Recent years have witnessed a growing interest on system identification techniques for
switched and piecewise affine models. These model classes have become popular not only …

The work presented in this paper is concerned with the identification of switched linear
systems from input-output data. The main challenge with this problem is that the data are …

Automotive control has developed over the decades from an auxiliary te-nology to a key
element without which the actual performances, emission, safety and consumption targets …