Networked control systems (NCSs) have played a key role in Internet of Things (IoTs) to
realize the vision of a fully interactive and responsive intelligent environment. However …

We introduce a general framework for robust data-enabled predictive control (DeePC) for
linear time-invariant systems, which enables us to obtain robust and optimal control in a …

Data-driven control that circumvents the process of system identification by providing optimal
control inputs directly from system data has attracted renewed attention in recent years. In …

The least squares problem with ℓ 1-regularized regressors, called Lasso, is a widely used
approach in optimization problems where sparsity of the regressors is desired. As …

Protecting the parameters, states, and input/output signals of a dynamic controller is
essential for securely outsourcing its computation to an untrusted third party. Although a fully …

In this article, we present a method to encrypt dynamic controllers that can be implemented
through most homomorphic encryption schemes, including somewhat, leveled fully, and fully …

Encrypted control is a promising method for the secure outsourcing of controller computation
to a public cloud. However, a feasible method for security proofs of control has not yet been …

Advances in communication technologies and computational power have determined a
technological shift in the data paradigm. The resulting architecture requires sensors to send …

抄録 This paper proposes a controller design methodology for an encrypted control system
that prevents data leakage. In previous model-based design studies, there was a risk of …