World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
38
Citations
6718
World Ranking
4870
National Ranking
221

Overview

Jinfeng Liu is affiliated with the University of Alberta in Canada and has a significant academic footprint in the field of engineering. Their primary research contributions concentrate on control systems, optimization, and environmental applications. The scholar has published extensively within the domains of Control and Systems Engineering, Electrical and Electronic Engineering, Soil Science, Environmental Engineering, and Artificial Intelligence.

The research topics covered by Jinfeng Liu include:

  • Advanced Control Systems Optimization
  • Fault Detection and Control Systems
  • Irrigation Practices and Water Management
  • Process Optimization and Integration
  • Soil Moisture and Remote Sensing
  • Soil and Unsaturated Flow
  • Control Systems and Identification

Their body of work spans multiple high-impact journals and conference proceedings, with frequent publications in venues such as:

  • arXiv (Cornell University)
  • IFAC-PapersOnLine
  • Process Safety and Environmental Protection
  • Harvard Dataverse
  • Computers & Chemical Engineering

Examples of notable recent publications authored or co-authored by Jinfeng Liu include:

  • "Enhanced structural and cycling stability of O3-type NaNi1/3Mn1/3Fe1/3O2 cathode by Al replacement of Mn studied in half cell/full sodium-ion batteries," 2022, Journal of Alloys and Compounds
  • "Economic model predictive control of integrated energy systems: A multi-time-scale framework," 2022, Applied Energy
  • "Boosting the ionic transport and structural stability of Zn-doped O3-type NaNi1/3Mn1/3Fe1/3O2 cathode material for half/full sodium-ion batteries," 2022, Electrochimica Acta
  • "A review On reinforcement learning: Introduction and applications in industrial process control," 2020, Computers & Chemical Engineering
  • "Robust economic model predictive control of nonlinear networked control systems with communication delays," 2020, International Journal of Adaptive Control and Signal Processing

The scientist's collaborative network features several frequent co-authors, indicating an active involvement in multidisciplinary research projects. Key collaborators include Bernard T. Agyeman, Xunyuan Yin, Soumya Ranjan Sahoo, Benjamin Decardi-Nelson, and Sirish L. Shah.

Best Publications

  • Distributed model predictive control: A tutorial review and future research directions

    Panagiotis D. Christofides;Riccardo Scattolini;David Muñoz de la Peña;Jinfeng Liu

  • A review On reinforcement learning: Introduction and applications in industrial process control

    Rui Nian;Jinfeng Liu;Biao Huang

  • Economic model predictive control of nonlinear process systems using Lyapunov techniques

    Mohsen Heidarinejad;Jinfeng Liu;Panagiotis D. Christofides

  • Distributed model predictive control of nonlinear process systems

    Jinfeng Liu;David Muñoz de la Peña;Panagiotis D. Christofides

  • Supervisory Predictive Control of Standalone Wind/Solar Energy Generation Systems

    Wei Qi;Jinfeng Liu;Xianzhong Chen;P D Christofides

  • Sequential and Iterative Architectures for Distributed Model Predictive Control of Nonlinear Process Systems

    Jinfeng Liu;Xianzhong Chen;David Muñoz de la Peña;Panagiotis D. Christofides

  • Networked and Distributed Predictive Control: Methods and Nonlinear Process Network Applications

    Panagiotis D. Christofides;Jinfeng Liu;David Muoz de la Pea

  • Distributed model predictive control of nonlinear systems subject to asynchronous and delayed measurements

    Jinfeng Liu;David Muñoz de la Peña;Panagiotis D. Christofides

  • Distributed economic MPC: Application to a nonlinear chemical process network

    Xianzhong Chen;Mohsen Heidarinejad;Jinfeng Liu;Panagiotis D. Christofides

  • Distributed Supervisory Predictive Control of Distributed Wind and Solar Energy Systems

    Wei Qi;Jinfeng Liu;P. D. Christofides

  • Economic Model Predictive Control of Wastewater Treatment Processes

    Jing Zeng;Jing Zeng;Jinfeng Liu

  • A distributed control framework for smart grid development: Energy/water system optimal operation and electric grid integration

    Wei Qi;Jinfeng Liu;Panagiotis D. Christofides

  • Distributed moving horizon state estimation of two-time-scale nonlinear systems

    Xunyuan Yin;Jinfeng Liu

  • Iterative Distributed Model Predictive Control of Nonlinear Systems: Handling Asynchronous, Delayed Measurements

    Jinfeng Liu;Xianzhong Chen;David Muñoz de la Pena;P. D. Christofides

  • Supervisory Predictive Control for Long-Term Scheduling of an Integrated Wind/Solar Energy Generation and Water Desalination System

    Wei Qi;Jinfeng Liu;Panagiotis D. Christofides

  • Distributed moving horizon state estimation for nonlinear systems with bounded uncertainties

    Jing Zhang;Jinfeng Liu

  • Moving horizon state estimation for nonlinear systems with bounded uncertainties

    Jinfeng Liu

  • Detection, isolation and handling of actuator faults in distributed model predictive control systems

    David Chilin;Jinfeng Liu;David Muñoz de la Peña;Panagiotis D. Christofides

  • Economic Model Predictive Control

    Unknown

  • Networked and Distributed Predictive Control

    Panagiotis D. Christofides;Jinfeng Liu;David Muñoz de la Peña

  • Sequential and iterative architectures for distributed model predictive control of nonlinear process systems. Part I: Theory

    Jinfeng Liu;Xianzhong Chen;David Munoz de la Pena;Panagiotis D. Christofides

  • Distributed Model Predictive Control of Switched Nonlinear Systems with Scheduled Mode Transitions

    Mohsen Heidarinejad;Jinfeng Liu;Panagiotis D. Christofides

  • Sequential and iterative architectures for distributed model predictive control of nonlinear process systems. Part II: Application to a catalytic alkylation of benzene process

    Jinfeng Liu;Xianzhong Chen;David Munoz de la Pena;Panagiotis D. Christofides

Frequent Co-Authors

Biao Huang
Biao Huang University of Alberta
Sirish L. Shah
Sirish L. Shah University of Alberta
Prashant Mhaskar
Prashant Mhaskar McMaster University
Jie Bao
Jie Bao University of New South Wales
Richard K.K. Yuen
Richard K.K. Yuen City University of Hong Kong
Riccardo Scattolini
Riccardo Scattolini Polytechnic University of Milan

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