93 citations · 94 across the 8 of their papers we have counts for
10 papers
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…
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…
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…
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…
Drones that Think on their Feet: Sudden Landing Decisions with Embodied AI
Diego Ortiz Barbosa, Mohit Agrawal, Yash Malegaonkar +5
Autonomous drones must often respond to sudden events, such as alarms, faults, or unexpected changes in their environment, that require immediate and adaptive decision-making. Trad…
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…
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…
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…
A Graph-Theoretic Approach to the Performance of Dynamical Systems on Directed and Undirected Networks
Mohammad Pirani, Henrik Sandberg, Karl Henrik Johansson
We study a graph-theoretic approach to the performance of leader following consensus dynamics on directed and undirected graphs. We first provide graph-theor…
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…