Cloud computing and distributed computing are becoming ubiquitous in many modern
control areas such as smart grids, building automation, robot swarms, and intelligent …

This paper explores the privacy of cloud out-sourced Model Predictive Control (MPC) for a
linear system with input constraints. A client sends her private states to the cloud who …

This article develops a cloud-based protocol for a constrained quadratic optimization
problem involving multiple parties, each holding private data. The protocol is based on the …

Quantum annealers offer a promising approach to solve Quadratic Unconstrained Binary
Optimization (QUBO) problems, which have a wide range of applications. However, when a …

This study proposes an encrypted control system capable of the dynamic management of
the switching of public and private keys as a means of enhancing cyber-security. Dynamic …

Distributed (federated) learning has become a popular paradigm in recent years. In this
scenario private data is stored among several machines (possibly cellular or mobile …

Disturbance observer-based motion control, one of effective schemes for force control and
uncertainty compensation has been widely used in industrial systems such as manipulators …

This study develops a practical encrypted control system using a DC motor and observes the
properties of the encrypted control system in terms of its applicability, encrypted-induced …

In this study, we propose a novel attack for encrypted control systems along with a
cancellation method for the attacks. The attacks assign the poles of closed-loop systems by …

Cloud-based outsourcing framework provides an effective and superior means of
information processing in solving quadratic optimization problems with linear constraints …