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 …

System identification is the art and science of building mathematical models of dynamic
systems from observed input–output data. It can be seen as the interface between the real …

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 …

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

This tutorial paper is concerned with the identification of hybrid models, ie dynamical models
whose behavior is determined by interacting continuous and discrete dynamics. Methods …

Constrained optimization models are core tools in business, science, government, and the
military with applications including airline scheduling, control of petroleum refining …

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 …

This paper presents the hybrid modeling and the model predictive control of an air
suspension system with dam** multi-mode switching damper. Unlike traditional damper …

This paper proposes a general convex framework for the identification of switched linear
systems. The proposed framework uses over-parameterization to avoid solving the …