collaborators

6 papers

eess.SY2026

Security Index from Input/Output Data: Theory and Computation

Takumi Shinohara, Karl H. Johansson, Henrik Sandberg

The concept of a security index quantifies the minimum number of components that must be compromised to carry out a stealth attack. This metric enables system operators to assess t…

eess.SY2026

Data-Driven Control from Poisoned Data: Fundamental Limitations and Secure DeePC

Takumi Shinohara, Henrik Sandberg, Karl Henrik Johansson

We study a data-driven control problem in the presence of arbitrary data poisoning attacks. We assume that a subset of offline output data is stored in unprotected locations and ma…

eess.SY2026

From Noisy Data to Hierarchical Control: A Model-Order-Reduction Framework

Behrad Samari, Henrik Sandberg, Karl H. Johansson +1

This paper develops a direct data-driven framework for constructing reduced-order models (ROMs) of discrete-time linear dynamical systems with unknown dynamics and process disturba…

eess.SY2026

Data-Driven Resilience Assessment against Sparse Sensor Attacks

Takumi Shinohara, Karl Henrik Johansson, Henrik Sandberg

We develop a data-driven framework for assessing the resilience of linear time-invariant systems against malicious false-data-injection sensor attacks. Leveraging sparse observabil…

eess.SY2026

Data-Driven Model Order Reduction of Nonlinear Systems with Noisy Data

Behrad Samari, Henrik Sandberg, Karl H. Johansson +1

Model order reduction techniques simplify high-dimensional dynamical systems by deriving lower-dimensional models that retain essential system characteristics. These techniques are…

eess.SY2026

Detection and Identification of Sensor Attacks Using Partially Attack-Free Data

Takumi Shinohara, Karl H. Johansson, Henrik Sandberg

In this paper, we investigate data-driven attack detection and identification in a model-free setting. We consider a practically motivated scenario in which the available dataset m…