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20152026
most citedMultiple Loop Self-Triggered Model Predictive Control for Network Scheduling and Control

93 citations · 94 across the 8 of their papers we have counts for

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8 papers · 1 filter

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.SY2025

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.SY2025

Quantifying Security for Networked Control Systems: A Review

Sribalaji C. Anand, Anh Tung Nguyen, André M. H. Teixeira +2

Networked Control Systems (NCSs) are integral in critical infrastructures such as power grids, transportation networks, and production systems. Ensuring the resilient operation of…

eess.SY2025

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…

eess.SY2025

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.SY2025

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.SY2025

Distributed Resilient State Estimation and Control with Strategically Implemented Security Measures

Takumi Shinohara, Karl H. Johansson, Henrik Sandberg

This paper addresses the problem of distributed resilient state estimation and control for linear time-invariant systems in the presence of malicious false data injection sensor at…

eess.SY2015★ 93 cited

Multiple Loop Self-Triggered Model Predictive Control for Network Scheduling and Control

Erik Henriksson, Daniel E. Quevedo, Edwin G. W. Peters +2

We present an algorithm for controlling and scheduling multiple linear time-invariant processes on a shared bandwidth limited communication network using adaptive sampling interval…