H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 47 Citations 10,013 232 World Ranking 1386 National Ranking 41

Research.com Recognitions

Awards & Achievements

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Control theory
  • Electrical engineering

His primary areas of investigation include Model predictive control, Control theory, Network packet, Control engineering and Communication channel. His Model predictive control study combines topics from a wide range of disciplines, such as Linear system, Converters, Power control, Control theory and Power electronics. His biological study spans a wide range of topics, including Quantization, Capacitor, Inverter, Optimization problem and Electronic engineering.

His Network packet research includes themes of Control system, Networked control system, Real-time computing, Bounded function and Robustness. His work deals with themes such as Digital control and Actuator, which intersect with Control engineering. His Communication channel research incorporates themes from Kalman filter, Markov chain, Data transmission and Wireless.

His most cited work include:

  • Predictive Control in Power Electronics and Drives (1182 citations)
  • Predictive Current Control Strategy With Imposed Load Current Spectrum (315 citations)
  • A moving horizon approach to Networked Control system design (261 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Control theory, Model predictive control, Network packet, Control system and Control theory. His Control theory study incorporates themes from Converters, Mathematical optimization and Communication channel. His studies examine the connections between Communication channel and genetics, as well as such issues in Wireless, with regards to Wireless sensor network, Power control, Transmission, Real-time computing and Computer network.

His Model predictive control research is multidisciplinary, incorporating elements of Linear system, Control engineering, Power electronics, Optimization problem and Robustness. His research investigates the connection between Network packet and topics such as Covariance that intersect with issues in State. His research in Control system intersects with topics in Quantization, Distributed computing, Optimal control, Actuator and Scheduling.

He most often published in these fields:

  • Control theory (48.35%)
  • Model predictive control (31.83%)
  • Network packet (21.92%)

What were the highlights of his more recent work (between 2017-2021)?

  • Control system (21.62%)
  • Mathematical optimization (17.72%)
  • Control theory (48.35%)

In recent papers he was focusing on the following fields of study:

Control system, Mathematical optimization, Control theory, Scheduling and Estimator are his primary areas of study. His Control system research is multidisciplinary, relying on both Stability, Sliding mode control, Control theory and Distributed computing. His studies in Mathematical optimization integrate themes in fields like Algorithm design, Communication channel and Encryption.

His work carried out in the field of Control theory brings together such families of science as Bounded function and Model predictive control. His Model predictive control research incorporates elements of Homomorphic encryption, Converters, Interconnection and Robustness. The Scheduling study which covers Wireless that intersects with Wireless sensor network and Real-time computing.

Between 2017 and 2021, his most popular works were:

  • Towards Encrypted MPC for Linear Constrained Systems (44 citations)
  • Event-Triggered Quantized Communication-Based Distributed Convex Optimization (37 citations)
  • DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling (33 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Electrical engineering
  • Computer network

Daniel E. Quevedo mostly deals with Mathematical optimization, Control theory, Scheduling, Control system and Linear system. In his research, Distributed algorithm, Periodic scheduling, Directed graph, Metaheuristic and Exponential stability is intimately related to Algorithm design, which falls under the overarching field of Mathematical optimization. He combines subjects such as Converters, Finite set and Capacitor with his study of Control theory.

His Scheduling research includes elements of Distributed computing, Optimal control and Reinforcement learning. The concepts of his Linear system study are interwoven with issues in Control theory, Stochastic control and Model predictive control. Daniel E. Quevedo interconnects Homomorphic encryption, Encryption, Control channel, Bounded function and Cloud computing in the investigation of issues within Model predictive control.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Predictive Control in Power Electronics and Drives

P. Cortes;M.P. Kazmierkowski;R.M. Kennel;D.E. Quevedo.
IEEE Transactions on Industrial Electronics (2008)

1492 Citations

Predictive Current Control Strategy With Imposed Load Current Spectrum

P. Cortes;J. Rodriguez;D.E. Quevedo;C. Silva.
IEEE Transactions on Power Electronics (2008)

412 Citations

A moving horizon approach to Networked Control system design

G.C. Goodwin;H. Haimovich;D.E. Quevedo;J.S. Welsh.
IEEE Transactions on Automatic Control (2004)

341 Citations

Simple coding for achieving mean square stability over bit-rate limited channels

E.I. Silva;M.S. Derpich;J. Ostergaard;D.E. Quevedo.
conference on decision and control (2008)

295 Citations

Model Predictive Control of an Asymmetric Flying Capacitor Converter

P. Lezana;R. Aguilera;D.E. Quevedo.
IEEE Transactions on Industrial Electronics (2009)

286 Citations

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

Yuzhe Li;Ling Shi;Peng Cheng;Jiming Chen.
IEEE Transactions on Automatic Control (2015)

273 Citations

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

Sergio Vazquez;Abraham Marquez;Ricardo Aguilera;Daniel Quevedo.
IEEE Transactions on Industrial Electronics (2015)

270 Citations

Multistep Finite Control Set Model Predictive Control for Power Electronics

Tobias Geyer;Daniel E. Quevedo.
IEEE Transactions on Power Electronics (2014)

256 Citations

Model Predictive Control of an AFE Rectifier With Dynamic References

D. E. Quevedo;R. P. Aguilera;M. A. Perez;P. Cortes.
IEEE Transactions on Power Electronics (2012)

238 Citations

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

Tobias Geyer;Daniel E. Quevedo.
IEEE Transactions on Power Electronics (2015)

222 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Daniel E. Quevedo

Jose Rodriguez

Jose Rodriguez

San Sebastián University

Publications: 154

Ralph Kennel

Ralph Kennel

Technical University of Munich

Publications: 125

Marco Rivera

Marco Rivera

University of Talca

Publications: 87

Tobias Geyer

Tobias Geyer

ABB (Switzerland)

Publications: 54

Zidong Wang

Zidong Wang

Brunel University London

Publications: 42

Bin Wu

Bin Wu

Toronto Metropolitan University

Publications: 41

Haitham Abu-Rub

Haitham Abu-Rub

Texas A&M University at Qatar

Publications: 41

Jose Espinoza

Jose Espinoza

University of Concepción

Publications: 40

Pericle Zanchetta

Pericle Zanchetta

University of Nottingham

Publications: 39

Ling Shi

Ling Shi

Hong Kong University of Science and Technology

Publications: 39

Graham C. Goodwin

Graham C. Goodwin

University of Newcastle Australia

Publications: 38

Karl Henrik Johansson

Karl Henrik Johansson

Royal Institute of Technology

Publications: 36

Patrick Wheeler

Patrick Wheeler

University of Nottingham

Publications: 35

Yongchang Zhang

Yongchang Zhang

North China University of Technology

Publications: 29

Tongwen Chen

Tongwen Chen

University of Alberta

Publications: 28

Jianguo Zhu

Jianguo Zhu

University of Sydney

Publications: 28

Something went wrong. Please try again later.