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Daniel E. Quevedo

Daniel E. Quevedo

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
58
Citations
14480
World Ranking
1841
National Ranking
61

Research.com Recognitions

  • 2021 - IEEE Fellow For contributions to optimal and model predictive control

Overview

Daniel E. Quevedo is affiliated with the Queensland University of Technology in Australia. Their research is primarily situated at the intersection of Engineering and Computer Science, with notable contributions in the subfields of Computer Networks and Communications, Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence, and Management Science and Operations Research.

Their work addresses a range of topics, including:

  • Smart Grid Security and Resilience
  • Stability and Control of Uncertain Systems
  • Distributed Sensor Networks and Detection Algorithms
  • Age of Information Optimization
  • Security in Wireless Sensor Networks
  • Advanced Wireless Network Optimization
  • Wireless Communication Security Techniques

Their publication record is extensive, with significant contributions appearing in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Automatic Control
  • Automatica
  • IEEE Control Systems Letters
  • International Journal of Robust and Nonlinear Control

Recent papers authored or co-authored by Daniel E. Quevedo include:

  • "Encrypted Control for Networked Systems: An Illustrative Introduction and Current Challenges" (2021, IEEE Control Systems)
  • "On extended state estimation for nonlinear uncertain systems with round-robin protocol" (2022, Automatica)
  • "Remote State Estimation in the Presence of an Active Eavesdropper" (2020, IEEE Transactions on Automatic Control)
  • "Remote State Estimation With Smart Sensors Over Markov Fading Channels" (2021, IEEE Transactions on Automatic Control)
  • "Encryption scheduling for remote state estimation under an operation constraint" (2021, Automatica)

Frequent collaborators include:

  • Wanchun Liu
  • Yonghui Li
  • Branka Vucetic
  • Justin M. Kennedy
  • Alex S. Leong

In 2021, Daniel E. Quevedo was recognized as an IEEE Fellow for contributions to optimal and model predictive control.

Best Publications

  • Predictive Control in Power Electronics and Drives

    P. Cortes;M.P. Kazmierkowski;R.M. Kennel;D.E. Quevedo

  • Predictive Current Control Strategy With Imposed Load Current Spectrum

    P. Cortes;J. Rodriguez;D.E. Quevedo;C. Silva

  • Jamming Attacks on Remote State Estimation in Cyber-Physical Systems: A Game-Theoretic Approach

    Yuzhe Li;Ling Shi;Peng Cheng;Jiming Chen

  • Multistep Finite Control Set Model Predictive Control for Power Electronics

    Tobias Geyer;Daniel E. Quevedo

  • Predictive Optimal Switching Sequence Direct Power Control for Grid-Connected Power Converters

    Sergio Vazquez;Abraham Marquez;Ricardo Aguilera;Daniel Quevedo

  • A moving horizon approach to Networked Control system design

    G.C. Goodwin;H. Haimovich;D.E. Quevedo;J.S. Welsh

  • Performance of Multistep Finite Control Set Model Predictive Control for Power Electronics

    Tobias Geyer;Daniel E. Quevedo

  • SINR-Based DoS Attack on Remote State Estimation: A Game-Theoretic Approach

    Yuzhe Li;Daniel E. Quevedo;Subhrakanti Dey;Ling Shi

  • Model Predictive Control of an Asymmetric Flying Capacitor Converter

    P. Lezana;R. Aguilera;D.E. Quevedo

  • Model Predictive Control of an AFE Rectifier With Dynamic References

    D. E. Quevedo;R. P. Aguilera;M. A. Perez;P. Cortes

  • A multi-channel transmission schedule for remote state estimation under DoS attacks

    Kemi Ding;Yuzhe Li;Daniel E. Quevedo;Subhrakanti Dey

  • Finite-Control-Set Model Predictive Control With Improved Steady-State Performance

    R. P. Aguilera;P. Lezana;D. E. Quevedo

  • Input-to-State Stability of Packetized Predictive Control Over Unreliable Networks Affected by Packet-Dropouts

    D E Quevedo;Dragan Nešić

  • Predictive Control of Power Converters: Designs With Guaranteed Performance

    Ricardo P. Aguilera;Daniel E. Quevedo

  • Maximum Hands-Off Control: A Paradigm of Control Effort Minimization

    Masaaki Nagahara;Daniel E. Quevedo;Dragan Nesic

  • State Estimation Over Sensor Networks With Correlated Wireless Fading Channels

    D. E. Quevedo;A. Ahlen;K. H. Johansson

  • Finite constraint set receding horizon quadratic control

    Daniel E. Quevedo;Graham C. Goodwin;José A. De Doná

  • On Kalman filtering over fading wireless channels with controlled transmission powers

    Daniel E. Quevedo;Anders AhléN;Alex S. Leong;Subhrakanti Dey

  • Brief paper: Control system design subject to SNR constraints

    Eduardo I. Silva;Graham C. Goodwin;Daniel E. Quevedo

  • Deep reinforcement learning for wireless sensor scheduling in cyber-physical systems

    Alex S. Leong;Arunselvan Ramaswamy;Daniel E. Quevedo;Holger Karl

  • Brief paper: Architectures and coder design for networked control systems

    Graham C. Goodwin;Daniel E. Quevedo;Eduardo I. Silva

Frequent Co-Authors

Graham C. Goodwin
Graham C. Goodwin University of Newcastle Australia
Subhrakanti Dey
Subhrakanti Dey Uppsala University
Ling Shi
Ling Shi Hong Kong University of Science and Technology
Ricardo P. Aguilera
Ricardo P. Aguilera University of Technology Sydney
Vijay Gupta
Vijay Gupta Purdue University West Lafayette
Dragan Nesic
Dragan Nesic University of Melbourne
Tobias Geyer
Tobias Geyer ABB (Switzerland)
Karl Henrik Johansson
Karl Henrik Johansson Royal Institute of Technology
Pablo Lezana
Pablo Lezana Valparaiso University
Vincent K. N. Lau
Vincent K. N. Lau Hong Kong University of Science and Technology

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