Industrial data sets are often contaminated with outliers due to sensor malfunctions, signal
interference, and other disturbances as well as interplay of various other factors. The effect …

Motivated by the goal of learning controllers for complex systems whose dynamics change
over time, we consider the problem of designing control laws for systems that switch among …

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 …

We study online control of time-varying linear systems with unknown dynamics in the
nonstochastic control model. At a high level, we demonstrate that this setting is\emph …

This paper seeks to develop a computationally tractable framework for data-driven control of
switched linear systems. Specifically, given a model structure and experimental data …

The goal of this paper is to develop a computationally tractable framework for data driven
control of switched linear MIMO systems. Given a model structure and experimental data …

Recent advances in control, coupled with an exponential growth in data gathering
capabilities, have made feasible a wide range of applications that can profoundly impact …

This paper addresses the fault detection and isolation (FDI) problem for robotic assembly of
electrical connectors in the framework of set-membership. Both the fault-free and faulty …

A new iterative algorithm is proposed to identify the high-speed train model which is
described as a switched dynamic system including a fast switched nonlinear static …

We propose a convex-optimization-based framework for computation of invariant measures
of polynomial dynamical systems and Markov processes, in discrete and continuous time …