Research publications

SHED: A Newton-type algorithm for federated learning based on incremental Hessian eigenvector sharing

Dal Fabbro, Nicolò; Dey, Subhrakanti; Rossi, Michele; Schenato, Luca

Part of Automatica, 2024

Article in journal

• DOI for SHED: A Newton-type algorithm for federated learning based on incremental Hessian eigenvector sharing
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A Multihypotheses Importance Density for SLAM in Cluttered Scenarios

Kaltiokallio, Ossi; Hostettler, Roland; Ge, Yu; Kim, Hyowon et al.

Part of IEEE Transactions on robotics, p. 1019-1035, 2024

Article in journal

• DOI for A Multihypotheses Importance Density for SLAM in Cluttered Scenarios
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Extended Target Tracking Utilizing Machine-Learning Software-With Applications to Animal Classification

Malmstrom, Magnus; Kullberg, Anton; Skog, Isaac; Axehill, Daniel et al.

Part of IEEE Signal Processing Letters, p. 376-380, 2024

Article in journal

• DOI for Extended Target Tracking Utilizing Machine-Learning Software-With Applications to Animal Classification

Uncertainty quantification in neural network classifiers - A local linear approach

Malmstrom, Magnus; Skog, Isaac; Axehill, Daniel; Gustafsson, Fredrik

Part of Automatica, 2024

Article in journal

• DOI for Uncertainty quantification in neural network classifiers - A local linear approach
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Bayesian Quickest Change-Point Detection With an Energy Harvesting Sensor and Asymptotic Analysis

Naha, Arunava; Dey, Subhrakanti

Part of IEEE Transactions on Signal Processing, p. 565-579, 2024

Article in journal

• DOI for Bayesian Quickest Change-Point Detection With an Energy Harvesting Sensor and Asymptotic Analysis

Automated Analysis of Nano-Impact Single-Entity Electrochemistry Signals Using Unsupervised Machine Learning and Template Matching

Zhao, Ziwen; Naha, Arunava; Ganguli, Sagar; Sekretareva, Alina

Part of ADVANCED INTELLIGENT SYSTEMS, 2024

Article in journal

• DOI for Automated Analysis of Nano-Impact Single-Entity Electrochemistry Signals Using Unsupervised Machine Learning and Template Matching
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Distributed Continual Learning with CoCoA in High-Dimensional Linear Regression

Hellkvist, Martin; Özcelikkale, Ayca; Ahlén, Anders

Part of IEEE Transactions on Signal Processing, p. 1015-1031, 2024

Article in journal

• DOI for Distributed Continual Learning with CoCoA in High-Dimensional Linear Regression

Compression-Based Privacy Preservation for Distributed Nash Equilibrium Seeking in Aggregative Games

Huo, Wei; Chen, Xiaomeng; Ding, Kemi; Dey, Subhrakanti et al.

Part of IEEE Control Systems Letters, p. 886-891, 2024

Article in journal

• DOI for Compression-Based Privacy Preservation for Distributed Nash Equilibrium Seeking in Aggregative Games

Spectral Correction of Audio Objects in Stereophonic Rendering

Gunnarsson, Viktor

Part of IEEE/ACM Transactions on Audio, Speech, and Language Processing, p. 3141-3156, 2024

Article in journal

• DOI for Spectral Correction of Audio Objects in Stereophonic Rendering
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Communication-Efficient and Differentially-Private Distributed Nash Equilibrium Seeking With Linear Convergence

Chen, Xiaomeng; Huo, Wei; Ding, Kemi; Dey, Subhrakanti et al.

Part of IEEE Control Systems Letters, p. 1787-1792, 2024

Article in journal

• DOI for Communication-Efficient and Differentially-Private Distributed Nash Equilibrium Seeking With Linear Convergence

Risk Assessment of Stealthy Attacks on Uncertain Control Systems

Coimbatore Anand, Sribalaji; Teixeira, André; Ahlén, Anders

Part of IEEE Transactions on Automatic Control, p. 3214-3221, 2024

Article in journal

• DOI for Risk Assessment of Stealthy Attacks on Uncertain Control Systems

Delay Attack and Detection in Feedback Linearized Control Systems

Wigren, Torbjörn; Teixeira, André

Part of Proceedings of European Control Conference, p. 1569-1576, 2024

Conference paper

Gaussian Processes for Received Signal Strength Based Device-free Localization

Kaltiokallio, Ossi; Hostettler, Roland; Talvitie, Jukka; Valkama, Mikko

Part of 2024 18th European Conference on Antennas and Propagation, EuCAP, 2024

Conference paper

• DOI for Gaussian Processes for Received Signal Strength Based Device-free Localization

Differential Privacy in Distributed Optimization With Gradient Tracking

Huang, Lingying; Wu, Junfeng; Shi, Dawei; Dey, Subhrakanti et al.

Part of IEEE Transactions on Automatic Control, p. 5727-5742, 2024

Article in journal

• DOI for Differential Privacy in Distributed Optimization With Gradient Tracking

Kullback-Leibler Divergence-Based Tuning of Kalman Filter for Bias Injection Attacks in an Artificial Pancreas System

Tosun, Fatih Emre; Teixeira, André; Ahlén, Anders; Dey, Subhrakanti

Part of IFAC-PapersOnLine, p. 508-513, 2024

Article in journal

• DOI for Kullback-Leibler Divergence-Based Tuning of Kalman Filter for Bias Injection Attacks in an Artificial Pancreas System
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Signals-of-Opportunity-Based Hydrophone Array Shape and Orientation Estimation

Skog, Isaac; Lundberg Nordenvaad, Magnus; Hendeby, Gustaf

Part of IEEE Journal of Oceanic Engineering, p. 679-691, 2024

Article in journal

• DOI for Signals-of-Opportunity-Based Hydrophone Array Shape and Orientation Estimation

Channel Interpolation of Fading Channels and the Pilot Density Required for Predictor Antennas

Björsell, Joachim; Sternad, Mikael; Phan-Huy, Dinh-Thuy; Grieger, Michael

Part of IEEE Transactions on Vehicular Technology, p. 6765-6779, 2024

Article in journal

• DOI for Channel Interpolation of Fading Channels and the Pilot Density Required for Predictor Antennas

Spike timing–based coding in neuromimetic tactile system enables dynamic object classification

Chen, Libo; Karilanova, Sanja; Chaki, Soumi; Wen, Chenyu et al.

Part of Science, p. 660-665, 2024

Article in journal

• DOI for Spike timing–based coding in neuromimetic tactile system enables dynamic object classification
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Security Allocation in Networked Control Systems under Stealthy Attacks

Nguyen, Anh Tung; Teixeira, André M. H.; Medvedev, Alexander

Part of IEEE Transactions on Control of Network Systems, 2024

Article in journal

• DOI for Security Allocation in Networked Control Systems under Stealthy Attacks

Improving Generalization in Game Agents with Data Augmentation in Imitation Learning

Yadgaroff, D.; Sestini, A.; Tollmar, K.; Özcelikkale, Ayca et al.

Part of 2024 IEEE Congress on Evolutionary Computation (CEC), p. 1-8, 2024

Conference paper

• DOI for Improving Generalization in Game Agents with Data Augmentation in Imitation Learning

Neural-Network-Based Distributed Generalized Nash Equilibrium Seeking for Uncertain Nonlinear Multiagent Systems

Huo, Wei; Huang, Lingying; Dey, Subhrakanti; Shi, Ling

Part of IEEE Transactions on Control of Network Systems, p. 1323-1334, 2024

Article in journal

• DOI for Neural-Network-Based Distributed Generalized Nash Equilibrium Seeking for Uncertain Nonlinear Multiagent Systems

Wireless control: Retrospective and open vistas

Pezzutto, Matthias; Dey, Subhrakanti; Garone, Emanuele; Gatsis, Konstantinos et al.

Part of Annual Reviews in Control, 2024

Article, review/survey

• DOI for Wireless control: Retrospective and open vistas
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Fully-distributed optimization with Network Exact Consensus-GIANT

Maritan, Alessio; Sharma, Ganesh; Dey, Subhrakanti; Schenato, Luca

Part of 2024 IEEE 25TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS, SPAWC 2024, p. 436-440, 2024

Conference paper

• DOI for Fully-distributed optimization with Network Exact Consensus-GIANT

Centrality-based Security Allocation in Networked Control Systems

Nguyen, Anh Tung; Hertzberg, Andreas; Teixeira, André

Part of Lecture Notes in Computer Science, Springer Publishing Company, 2024

Chapter in book

Meta-Learning Augmented MPC for Disturbance-Aware Motion Planning and Control of Quadrotors

Lapandic, Dzenan; Xie, Fengze; Verginis, Christos K.; Chung, Soon-Jo et al.

Part of IEEE Control Systems Letters, p. 3045-3050, 2024

Article in journal

• DOI for Meta-Learning Augmented MPC for Disturbance-Aware Motion Planning and Control of Quadrotors

Continual Learning with Distributed Optimization: Does CoCoA Forget Under Task Repetition?

Hellkvist, Martin; Özcelikkale, Ayca; Ahlén, Anders

Part of 32nd European Signal Processing Conference (EUSIPCO 2024), p. 2652-2656, 2024

Conference paper

• DOI for Continual Learning with Distributed Optimization: Does CoCoA Forget Under Task Repetition?

Kinodynamic Motion Planning via Funnel Control for Underactuated Unmanned Surface Vehicles

Lapandic, Dzenan; Verginis, Christos K.; Dimarogonas, Dimos V.; Wahlberg, Bo

Part of IEEE Transactions on Control Systems Technology, p. 2114-2125, 2024

Article in journal

• DOI for Kinodynamic Motion Planning via Funnel Control for Underactuated Unmanned Surface Vehicles

Quickest detection of bias injection attacks on the glucose sensor in the artificial pancreas under meal disturbances

Tosun, Fatih Emre; Teixeira, André; Abdalmoaty, Mohamed R. -H.; Ahlén, Anders et al.

Part of Journal of Process Control, 2024

Article in journal

• DOI for Quickest detection of bias injection attacks on the glucose sensor in the artificial pancreas under meal disturbances
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GNN-IDS: Graph Neural Network based Intrusion Detection System

Sun, Zhenlu; Teixeira, André; Toor, Salman

Part of Proceedings of the 19th International Conference on Availability, Reliability and Security, 2024

Conference paper

• DOI for GNN-IDS: Graph Neural Network based Intrusion Detection System
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Learning to Execute Timed-Temporal-Logic Navigation Tasks under Input Constraints in Obstacle-Cluttered Environments

Tolis, Fotios C.; Trakas, Panagiotis S.; Blounas, Taxiarchis-Foivos; Verginis, Christos et al.

Part of Robotics, 2024

Article in journal

• DOI for Learning to Execute Timed-Temporal-Logic Navigation Tasks under Input Constraints in Obstacle-Cluttered Environments
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Joint learning of reward machines and policies in environments with partially known semantics

Verginis, Christos; Koprulu, Cevahir; Chinchali, Sandeep; Topcu, Ufuk

Part of Artificial Intelligence, 2024

Article in journal

• DOI for Joint learning of reward machines and policies in environments with partially known semantics
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MAINS: A Magnetic-Field-Aided Inertial Navigation System for Indoor Positioning

Huang, Chuan; Hendeby, Gustaf; Fourati, Hassen; Prieur, Christophe et al.

Part of IEEE Sensors Journal, p. 15156-15166, 2024

Article in journal

• DOI for MAINS: A Magnetic-Field-Aided Inertial Navigation System for Indoor Positioning

Planning and control of multi-robot-object systems under temporal logic tasks and uncertain dynamics

Verginis, Christos K.; Kantaros, Yiannis; Dimarogonas, Dimos V.

Part of Robotics and Autonomous Systems, 2024

Article in journal

• DOI for Planning and control of multi-robot-object systems under temporal logic tasks and uncertain dynamics
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A virtual anti-scatter grid for multi-energy photon counting detector systems

Purisha, Zenith; Winkler, Alexander; Emzir, Muhammad; Hostettler, Roland et al.

Part of Physica Scripta, 2024

Article in journal

• DOI for A virtual anti-scatter grid for multi-energy photon counting detector systems

Joint Communication and Computation Using RF Amplifier-based Neural Network

Wang, Siqi; Özcelikkale, Ayca; Benlarbi-Delai, Aziz

Part of 2024 54th European Microwave Conference (EuMC), p. 1058-1061, 2024

Conference paper

• DOI for Joint Communication and Computation Using RF Amplifier-based Neural Network

Reinforcement Learning-Based Transmission Policies for Energy Harvesting Powered Sensors

Seifullaev, Ruslan; Knorn, Steffi; Ahlén, Anders; Hostettler, Roland

Part of IEEE Transactions on Green Communications and Networking, p. 1564-1573, 2024

Article in journal

• DOI for Reinforcement Learning-Based Transmission Policies for Energy Harvesting Powered Sensors

Distributed control on a multi-agent environment co-simulation for DC bus voltage control

Fernandes, Daniel Leocádio; Leopoldino, André Luiz Marques; de Santiago Ochoa, Juan; Verginis, Christos et al.

Part of Electric power systems research, 2024

Article in journal

• DOI for Distributed control on a multi-agent environment co-simulation for DC bus voltage control

Novel Bounds for Incremental Hessian Estimation With Application to Zeroth-Order Federated Learning

Maritan, Alessio; Schenato, Luca; Dey, Subhrakanti

Part of IEEE Open Journal of Control Systems, p. 173-189, 2024

Article in journal

• DOI for Novel Bounds for Incremental Hessian Estimation With Application to Zeroth-Order Federated Learning
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Covert Outage Minimization in the Presence of Multiple Wardens

Arghavani, Abbas; Dey, Subhrakanti; Ahlén, Anders

Part of IEEE Transactions on Signal Processing, p. 686-700, 2023

Article in journal

• DOI for Covert Outage Minimization in the Presence of Multiple Wardens

Sequential detection of Replay attacks

Naha, Arunava; Teixeira, André; Ahlén, Anders; Dey, Subhrakanti

Part of IEEE Transactions on Automatic Control, p. 1941-1948, 2023

Article in journal

• DOI for Sequential detection of Replay attacks

Quickest physical watermarking-based detection of measurement replacement attacks in networked control systems

Naha, Arunava; Teixeira, André; Ahlén, Anders; Dey, Subhrakanti

Part of European Journal of Control, 2023

Article in journal

• DOI for Quickest physical watermarking-based detection of measurement replacement attacks in networked control systems
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Iterated Filters for Nonlinear Transition Models

Kullberg, Anton; Skog, Isaac; Hendeby, Gustaf

Part of IEEE International Conference on Information Fusion (FUSION), 2023

Conference paper

Funnel Control for Uncertain Nonlinear Systems via Zeroing Control Barrier Functions

Verginis, Christos K.

Part of IEEE Control Systems Letters, p. 853-858, 2023

Article in journal

• DOI for Funnel Control for Uncertain Nonlinear Systems via Zeroing Control Barrier Functions

Asymptotic Consensus of Unknown Nonlinear Multi-Agent Systems with Prescribed Transient Response

Verginis, Christos K.

Part of 2023 American Control Conference (ACC), p. 1992-1997, 2023

Conference paper

• DOI for Asymptotic Consensus of Unknown Nonlinear Multi-Agent Systems with Prescribed Transient Response

Regularization Trade-offs with Fake Features

Hellkvist, Martin; Özcelikkale, Ayca; Ahlén, Anders

2023

Conference paper

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Estimation Under Model Misspecification With Fake Features

Hellkvist, Martin; Özcelikkale, Ayca; Ahlén, Anders

Part of IEEE Transactions on Signal Processing, p. 47-60, 2023

Article in journal

• DOI for Estimation Under Model Misspecification With Fake Features
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Determining joint periodicities in multi-time data with sampling uncertainties

Svedberg, David; Elvander, Filip; Jakobsson, Andreas

Part of Signal Processing, 2023

Article in journal

• DOI for Determining joint periodicities in multi-time data with sampling uncertainties

Underwater Environment Modeling for Passive Sonar Track-Before-Detect

Bossér, Daniel; Forsling, Robin; Skog, Isaac; Hendeby, Gustaf et al.

Part of OCEANS 2023 - LIMERICK, 2023

Conference paper

• DOI for Underwater Environment Modeling for Passive Sonar Track-Before-Detect

On-line Identification of Delay Attacks in Networked Servo Control

Wigren, Torbjörn; Teixeira, André

Part of Prep. IFAC World Congress, p. 1041-1047, 2023

Conference paper

A Differentially Private Method for Distributed Optimization in Directed Networks via State Decomposition

Chen, Xiaomeng; Huang, Lingying; He, Lidong; Dey, Subhrakanti et al.

Part of IEEE Transactions on Control of Network Systems, p. 2165-2177, 2023

Article in journal

• DOI for A Differentially Private Method for Distributed Optimization in Directed Networks via State Decomposition

On the Relationship Between Iterated Statistical Linearization and Quasi-Newton Methods

Kullberg, Anton; Skoglund, Martin A.; Skog, Isaac; Hendeby, Gustaf

Part of IEEE Signal Processing Letters, p. 1777-1781, 2023

Article in journal

• DOI for On the Relationship Between Iterated Statistical Linearization and Quasi-Newton Methods

Q-SHED: Distributed Optimization at the Edge via Hessian Eigenvectors Quantization

Dal Fabbro, Nicolò; Rossi, Michele; Schenato, Luca; Dey, Subhrakanti

Part of ICC 2023 - IEEE International Conference on Communications, p. 4403-4408, 2023

Conference paper

• DOI for Q-SHED: Distributed Optimization at the Edge via Hessian Eigenvectors Quantization

Privacy-Preserving Push-Sum Average Consensus via State Decomposition

Chen, Xiaomeng; Huang, Lingying; Ding, Kemi; Dey, Subhrakanti et al.

Part of IEEE Transactions on Automatic Control, p. 7974-7981, 2023

Article in journal

• DOI for Privacy-Preserving Push-Sum Average Consensus via State Decomposition

Privacy and Security in Network Controlled Systems via Dynamic Masking

Abdalmoaty, Mohamed; Coimbatore Anand, Sribalaji; Teixeira, André

Part of IFAC-PapersOnLine, p. 991-996, 2023

Article in journal

• DOI for Privacy and Security in Network Controlled Systems via Dynamic Masking

Robust Binaural Measurements in the Ear Canal Using a Two-Microphone Array

Gunnarsson, Viktor; Smailagic, Sead

2023

Conference paper

• Download full text (pdf) of Robust Binaural Measurements in the Ear Canal Using a Two-Microphone Array

On the validity of using the delta method for calculating the uncertainty of the predictions from an overparameterized model

Malmström, Magnus; Skog, Isaac; Axehill, Daniel; Gustafsson, Fredrik

Part of IFAC-PapersOnLine, p. 5843-5848, 2023

Article in journal

• DOI for On the validity of using the delta method for calculating the uncertainty of the predictions from an overparameterized model

Optimal Detector Placement in Networked Control Systems under Cyber-attacks with Applications to Power Networks

Nguyen, Anh Tung; Coimbatore Anand, Sribalaji; Teixeira, André; Medvedev, Alexander

Part of IFAC-PapersOnLine, p. 1820-1826, 2023

Article in journal

• DOI for Optimal Detector Placement in Networked Control Systems under Cyber-attacks with Applications to Power Networks

Probability elicitation for Bayesian networks to distinguish between intentional attacks and accidental technical failures

Chockalingam, Sabarathinam; Pieters, Wolter; Teixeira, André; van Gelder, Pieter

Part of Journal of Information Security and Applications, 2023

Article in journal

• DOI for Probability elicitation for Bayesian networks to distinguish between intentional attacks and accidental technical failures
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Learning-Based DoS Attack Power Allocation in Multiprocess Systems

Huang, Mengyu; Ding, Kemi; Dey, Subhrakanti; Li, Yuzhe et al.

Part of IEEE Transactions on Neural Networks and Learning Systems, p. 8017-8030, 2023

Article in journal

• DOI for Learning-Based DoS Attack Power Allocation in Multiprocess Systems

Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves

Bosch, David; Panahi, Ashkan; Özcelikkale, Ayca; Dubhashi, Devdatt

Part of Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, 2023

Conference paper

Robust Sequential Detection of Non-stealthy Sensor Deception Attacks in an Artificial Pancreas System

Tosun, Fatih Emre; Teixeira, André

Part of 2023 62nd IEEE Conference on Decision and Control (CDC), p. 2827-2832, 2023

Conference paper

• DOI for Robust Sequential Detection of Non-stealthy Sensor Deception Attacks in an Artificial Pancreas System

A Distributed, Event-Triggered, Adaptive Controller for Cooperative Manipulation With Rolling Contacts

Cortez, Wenceslao Shaw; Verginis, Christos; Dimarogonas, Dimos V.

Part of IEEE Transactions on robotics, p. 3120-3133, 2023

Article in journal

• DOI for A Distributed, Event-Triggered, Adaptive Controller for Cooperative Manipulation With Rolling Contacts

KDF: Kinodynamic Motion Planning via Geometric Sampling-Based Algorithms and Funnel Control

Verginis, Christos K.; Dimarogonas, Dimos, V; Kavraki, Lydia E.

Part of IEEE Transactions on robotics, p. 978-997, 2023

Article in journal

• DOI for KDF: Kinodynamic Motion Planning via Geometric Sampling-Based Algorithms and Funnel Control

Cooperative Sampling-Based Motion Planning under Signal Temporal Logic Specifications

Sewlia, Mayank; Verginis, Christos K.; Dimarogonas, Dimos V.

Part of 2023 American Control Conference (ACC), p. 2697-2702, 2023

Conference paper

• DOI for Cooperative Sampling-Based Motion Planning under Signal Temporal Logic Specifications

Non-Parametric Neuro-Adaptive Control

Verginis, Christos; Xu, Zhe; Topcu, Ufuk

Part of 2023 European Control Conference, ECC, 2023

Conference paper

• DOI for Non-Parametric Neuro-Adaptive Control

Cooperative Manipulation via Internal Force Regulation: A Rigidity Theory Perspective

Verginis, Christos K.; Zelazo, Daniel; Dimarogonas, Dimos V.

Part of IEEE Transactions on Control of Network Systems, p. 1222-1233, 2023

Article in journal

• DOI for Cooperative Manipulation via Internal Force Regulation: A Rigidity Theory Perspective

Optimal age-specific vaccination control for COVID-19: An Irish case study

Zavrakli, Eleni; Parnell, Andrew; Malone, David; Duffy, Ken et al.

Part of PLOS ONE, 2023

Article in journal

• DOI for Optimal age-specific vaccination control for COVID-19: An Irish case study
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Risk-based Security Measure Allocation Against Actuator Attacks

Coimbatore Anand, Sribalaji; Teixeira, André

Part of IEEE Open Journal of Control Systems, p. 297-309, 2023

Article in journal

• DOI for Risk-based Security Measure Allocation Against Actuator Attacks
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Guest Editorial: MLSP 2020 Special Issue

Sarkka, Simo; Roininen, Lassi; Kok, Manon; Hostettler, Roland et al.

Part of Journal of Signal Processing Systems, p. 131-132, 2022

Article in journal

• DOI for Guest Editorial: MLSP 2020 Special Issue

Optimal power allocation for harvesting based wireless control systems: To listen or not to listen to channel information

Knorn, Steffi; Ahlén, Anders; Dey, Subhrakanti

Part of IFAC-PapersOnLine, p. 252-257, 2022

Article in journal

• DOI for Optimal power allocation for harvesting based wireless control systems: To listen or not to listen to channel information

Posterior linearisation filter for non-linear state transformation noises

Raitoharju, Matti; Hostettler, Roland; Sarkka, Simo

Part of 2022 25TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2022), 2022

Conference paper

• DOI for Posterior linearisation filter for non-linear state transformation noises

Asymptotic Performance Analysis of Distributed Non-Bayesian Quickest Change Detection with Energy Harvesting Sensors

Biswas, Sinchan; Dey, Subhrakanti

Part of IEEE Transactions on Aerospace and Electronic Systems, p. 3697-3707, 2022

Article in journal

• DOI for Asymptotic Performance Analysis of Distributed Non-Bayesian Quickest Change Detection with Energy Harvesting Sensors

Detection of Bias Injection Attacks on the Glucose Sensor in the Artificial Pancreas Under Meal Disturbance

Tosun, Fatih Emre; Teixeira, André; Ahlén, Anders; Dey, Subhrakanti

Part of 2022 AMERICAN CONTROL CONFERENCE (ACC), p. 1398-1405, 2022

Conference paper

• DOI for Detection of Bias Injection Attacks on the Glucose Sensor in the Artificial Pancreas Under Meal Disturbance

Event-triggered control of systems with sector-bounded nonlinearities and intermittent packet transmissions

Seifullaev, Ruslan; Knorn, Steffi; Ahlén, Anders

Part of Automatica, 2022

Article in journal

• DOI for Event-triggered control of systems with sector-bounded nonlinearities and intermittent packet transmissions
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Enabling Multi-User M-MIMO for High-Mobility Users with Predictor Antennas: A Deep Analysis Based on Experimental NLOS Measurements

Björsell, Joachim; Sternad, Mikael; Phan-Huy, Dinh-Thuy

Part of IEEE Transactions on Vehicular Technology, p. 7456-7471, 2022

Article in journal

• DOI for Enabling Multi-User M-MIMO for High-Mobility Users with Predictor Antennas: A Deep Analysis Based on Experimental NLOS Measurements

A Framework for Predictor Antennas in Practice

Björsell, Joachim; Sternad, Mikael; Grieger, Michael

Part of IEEE Transactions on Vehicular Technology, p. 7503-7518, 2022

Article in journal

• DOI for A Framework for Predictor Antennas in Practice

Automatic generation and updating of process industrial digital twins for estimation and control: A review

Birk, Wolfgang; Hostettler, Roland; Razi, Maryam; Atta, Khalid et al.

Part of Frontiers in Control Engineering, 2022

Article in journal

• DOI for Automatic generation and updating of process industrial digital twins for estimation and control: A review
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On Analog Distributed Approximate Newton with Determinantal Averaging

Sharma, Ganesh; Dey, Subhrakanti

Part of 2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2022

Conference paper

• DOI for On Analog Distributed Approximate Newton with Determinantal Averaging

An Aperiodic Prescribed Performance Control Scheme for Uncertain Nonlinear Systems

Nikou, Alexandros; Verginis, Christos K.; Heshmati-Alamdari, Shahab

Part of 30th Mediterranean Conference on Control and Automation (MED), p. 221-226, 2022

Conference paper

• DOI for An Aperiodic Prescribed Performance Control Scheme for Uncertain Nonlinear Systems

Control of cooperative manipulator-endowed systems under high-level tasks and uncertain dynamics

Verginis, Christos K.; V. Dimarogonas, Dimos

Part of Annual Reviews in Control, p. 219-240, 2022

Article, review/survey

• DOI for Control of cooperative manipulator-endowed systems under high-level tasks and uncertain dynamics
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Sequential Detection of Replay Attacks with a Parsimonious Watermarking Policy

Naha, Arunava; Teixeira, André; Ahlén, Anders; Dey, Subhrakanti

Part of 2022 American Control Conference (ACC), p. 4868-4875, 2022

Conference paper

• DOI for Sequential Detection of Replay Attacks with a Parsimonious Watermarking Policy

Robust Trajectory Tracking for Underactuated Quadrotors with Prescribed Performance

Lapandic, Dzenan; Verginis, Christos K.; Dimarogonas, Dimos V.; Wahlberg, Bo

Part of 2022 IEEE 61st Conference on Decision and Control (CDC), p. 3351-3358, 2022

Conference paper

• DOI for Robust Trajectory Tracking for Underactuated Quadrotors with Prescribed Performance

Structural analyses of a parsimonious watermarking policy for data deception attack detection in networked control systems

Naha, Arunava; Teixeira, André; Ahlén, Anders; Dey, Subhrakanti

Part of 2022 IEEE 61st Conference on Decision and Control (CDC), p. 7648-7655, 2022

Conference paper

• DOI for Structural analyses of a parsimonious watermarking policy for data deception attack detection in networked control systems

Risk-averse controller design against data injection attacks on actuators for uncertain control systems

Coimbatore Anand, Sribalaji; Teixeira, André M. H.

Part of 2022 AMERICAN CONTROL CONFERENCE (ACC), p. 5037-5042, 2022

Conference paper

• DOI for Risk-averse controller design against data injection attacks on actuators for uncertain control systems

Risk assessment and optimal allocation of security measures under stealthy false data injection attacks

Coimbatore Anand, Sribalaji; Teixeira, André M. H.; Ahlén, Anders

Part of 2022 IEEE Conference on Control Technology and Applications (CCTA), p. 1347-1353, 2022

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Towards Real-time Radio-SLAM via Optimal Importance Sampling

Kaltiokallio, Ossi; Hostettler, Roland; Talvitie, Jukka; Ge, Yu et al.

Part of 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC), 2022

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Enhanced Exploration Least-Squares Methods for Optimal Stopping Problems

Forootani, Ali; Tipaldi, Massimo; Iervolino, Raffaele; Dey, Subhrakanti

Part of IEEE Control Systems Letters, p. 271-276, 2022

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A Zero-Sum Game Framework for Optimal Sensor Placement in Uncertain Networked Control Systems under Cyber-Attacks

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

Part of 2022 IEEE 61st Conference on Decision and Control (CDC), p. 6126-6133, 2022

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Cooperative Object Manipulation under Signal Temporal Logic Tasks and Uncertain Dynamics

Swelia, Mayank; Verginis, Christos K.; Dimarogonas, Dimos V.

Part of IEEE Robotics and Automation Letters, p. 11561-11568, 2022

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Consensus-based Normalizing-Flow Control: A Case Study in Learning Dual-Arm Coordination

Yin, Hang; Verginis, Christos K.; Kragic, Danica

Part of 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), p. 10417-10424, 2022

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• DOI for Consensus-based Normalizing-Flow Control: A Case Study in Learning Dual-Arm Coordination

A probabilistic neural network (PNN) based framework for lithology classification using seismic attributes

Chaki, Soumi; Routray, Aurobinda; Mohanty, William K.

Part of Journal of Applied Geophysics, 2022

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A practical method for HRTF phase pre-processing

Gunnarsson, Viktor

Part of Proceedings of the 24th International Congress on Acoustics, 2022

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Learning to Observe with Reinforcement Learning

Koseoglu, Mehmet; Kunduracioglu, Ece; Özcelikkale, Ayca

2021

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Double Descent in Feature Selection: Revisiting LASSO and Basis Pursuit

Bosch, David; Panahi, Ashkan; Özcelikkale, Ayca

2021

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Generalization Error and Overparameterization While Learning over Networks

Hellkvist, Martin; Özcelikkale, Ayca; Ahlén, Anders

2021

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Predictor Antenna for Robust Non Reciprocity based Beamforming at High Speed

Phan-Huy, Dinh-Thuy; Björsell, Joachim; Sternad, Mikael

2021

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Stealthy Cyber-Attack Design Using Dynamic Programming

Coimbatore Anand, Sribalaji; Teixeira, André M. H.

Part of 2021 60th IEEE Conference On Decision And Control (CDC), p. 3474-3479, 2021

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Model Mismatch Trade-offs in LMMSE Estimation

Hellkvist, Martin; Özcelikkale, Ayca

Part of 29th European signal processing conference (EUSIPCO 2021), p. 2045-2049, 2021

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Linear Regression With Distributed Learning: A Generalization Error Perspective

Hellkvist, Martin; Özcelikkale, Ayca; Ahlén, Anders

Part of IEEE Transactions on Signal Processing, p. 5479-5495, 2021

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Application of the Free Energy Principle to Estimation and Control

van de Laar, Thijs; Özcelikkale, Ayca; Wymeersch, Henk

Part of IEEE Transactions on Signal Processing, p. 4234-4244, 2021

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