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D-Index & Metrics

Computer Science

D-Index
60
Citations
23213
World Ranking
3171
National Ranking
1537

Overview

Donald C. Wunsch is affiliated with the Missouri University of Science and Technology in the United States. Their research spans multiple areas within computer science and engineering, with a significant focus on artificial intelligence and control systems.

The scientist has contributed extensively to several subfields including artificial intelligence, molecular biology, computational theory and mathematics, control and systems engineering, and electrical and electronic engineering.

Their primary research topics cover:

  • Adaptive Dynamic Programming Control
  • Reinforcement Learning in Robotics
  • Advanced Clustering Algorithms Research
  • Machine Learning in Healthcare
  • Biomedical Text Mining and Ontologies
  • Mechanical Circulatory Support Devices
  • Bioinformatics and Genomic Networks

Donald C. Wunsch has published frequently in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Neural Networks and Learning Systems
  • Neural Networks
  • European Scientific Journal ESJ
  • IEEE/CAA Journal of Automatica Sinica

Selected recent papers include:

  • Hamiltonian-Driven Adaptive Dynamic Programming With Efficient Experience Replay, 2022, IEEE Transactions on Neural Networks and Learning Systems
  • Reinforcement Learning-Based Cooperative Optimal Output Regulation via Distributed Adaptive Internal Model, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • Safe Intermittent Reinforcement Learning With Static and Dynamic Event Generators, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • Hamiltonian-Driven Adaptive Dynamic Programming With Approximation Errors, 2021, IEEE Transactions on Cybernetics
  • Hamiltonian-Driven Hybrid Adaptive Dynamic Programming, 2020, IEEE Transactions on Systems Man and Cybernetics Systems

Frequent collaborators of Donald C. Wunsch include:

  • Daniel B. Hier
  • Yongliang Yang
  • Tie Luo
  • Leonardo Enzo Brito da Silva
  • Sasha Petrenko

The scientist's extensive publication record highlights a consistent focus on reinforcement learning, adaptive dynamic programming, and the application of machine learning methods in both engineering and biomedical contexts.

Best Publications

  • Survey of clustering algorithms

    Rui Xu;D. Wunsch

  • Adaptive critic designs

    D.V. Prokhorov;D.C. Wunsch

  • Handbook of Learning and Approximate Dynamic Programming

    Jennie Si;Andrew G. Barto;Warren Buckler Powell;Donald C. Wunsch

  • Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks

    E.W. Saad;D.V. Prokhorov;D.C. Wunsch

  • Principal Manifolds for Data Visualization and Dimension Reduction

    Alexander N. Gorban;Balzs Kgl;Donald C. Wunsch;Andrei Zinovyev

  • Using neural networks to estimate wind turbine power generation

    Shuhui Li;D.C. Wunsch;E.A. O'Hair;M.G. Giesselmann

  • Clustering Algorithms in Biomedical Research: A Review

    Rui Xu;Donald C Wunsch

  • Recurrent neural network based prediction of epileptic seizures in intra- and extracranial EEG

    Arthur Petrosian;Danil V. Prokhorov;Richard Homan;Richard Dasheiff

  • Comparison of heuristic dynamic programming and dual heuristic programming adaptive critics for neurocontrol of a turbogenerator

    G.K. Venayagamoorthy;R.G. Harley;D.C. Wunsch

  • Adaptive critic designs: a case study for neurocontrol

    Danil V. Prokhorov;Roberto A. Santiago;Donald C. Wunsch

  • Inference of Genetic Regulatory Networks with Recurrent Neural Network Models Using Particle Swarm Optimization

    Rui Xu;Donald Wunsch;Ronald Frank

  • Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization

    Rui Xu;Ganesh K. Venayagamoorthy;Donald C. Wunsch

  • Hamiltonian-Driven Adaptive Dynamic Programming With Efficient Experience Replay.

    Unknown

  • Artificial Neural Networks for Control of a Grid-Connected Rectifier/Inverter Under Disturbance, Dynamic and Power Converter Switching Conditions

    Shuhui Li;Michael Fairbank;Cameron Johnson;Donald C. Wunsch

  • A Comparison Study of Validity Indices on Swarm-Intelligence-Based Clustering

    Rui Xu;Jie Xu;D. C. Wunsch

  • Supervised Actor-Critic Reinforcement Learning

    Michael T. Rosenstein;Andrew G. Barto;Jennie Si;Andy Barto

  • Comparative Analysis of Regression and Artificial Neural Network Models for Wind Turbine Power Curve Estimation

    Shuhui Li;Donald C. Wunsch;Edgar O’Hair;Michael G. Giesselmann

  • Leader–Follower Output Synchronization of Linear Heterogeneous Systems With Active Leader Using Reinforcement Learning

    Yongliang Yang;Hamidreza Modares;Donald C. Wunsch;Yixin Yin

  • Dual heuristic programming excitation neurocontrol for generators in a multimachine power system

    G.K. Venayagamoorthy;R.G. Harley;D.C. Wunsch

  • Training Recurrent Neural Networks With the Levenberg–Marquardt Algorithm for Optimal Control of a Grid-Connected Converter

    Xingang Fu;Shuhui Li;Michael Fairbank;Donald C. Wunsch

  • A proposition on memes and meta-memes in computing for higher-order learning

    Ryan J. Meuth;Meng-Hiot Lim;Yew-Soon Ong;Donald C. Wunsch

  • IEEE International Conference on Neural Networks - Conference Proceedings

    Xindi Cai;Nian Zhang;Kumar Venayagamoorthy;Donald C. Wunsch

Frequent Co-Authors

Ganesh K. Venayagamoorthy
Ganesh K. Venayagamoorthy Clemson University
Shuhui Li
Shuhui Li University of Alabama
Danil V. Prokhorov
Danil V. Prokhorov Toyota Motor Corporation (Japan)
Alexander N. Gorban
Alexander N. Gorban University of Leicester
Hamidreza Modares
Hamidreza Modares Michigan State University
Eduardo Alonso
Eduardo Alonso City, University of London
Ah-Hwee Tan
Ah-Hwee Tan Singapore Management University
De-Shuang Huang
De-Shuang Huang Tongji University
John Vian
John Vian Boeing (United States)
Kyriakos G. Vamvoudakis
Kyriakos G. Vamvoudakis Georgia Institute of Technology

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