World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
59
Citations
22333
World Ranking
2280
National Ranking
713

Research.com Recognitions

  • 2002 - IEEE Fellow For contributions to stochastic control, dynamic optimization, and control of large networks.

Overview

Sean P. Meyn is affiliated with the University of Florida in the United States. Their research spans the field of engineering, with a focus on control and systems engineering, electrical and electronic engineering, artificial intelligence, management science and operations research, and statistics and probability.

The scientist's work covers main topics such as reinforcement learning in robotics, smart grid energy management, power system optimization and stability, advanced control systems optimization, Markov chains and Monte Carlo methods, stochastic processes with financial applications, and control systems and identification.

Frequent co-authors include Adithya M. Devraj, Prashant G. Mehta, Arturo S. Bretas, Ana Bušić, and Caio Kalil Lauand. Their research has been published extensively in various venues, notably arXiv (Cornell University), IEEE Transactions on Automatic Control, Energies, IEEE Open Access Journal of Power and Energy, and the SIAM Journal on Control and Optimization.

Recent papers authored or coauthored by Sean P. Meyn include:

  • Research Trends and Applications of PMUs, 2022, Energies
  • Aggregate Flexibility Capacity of TCLs With Cycling Constraints, 2022, IEEE Transactions on Power Systems
  • Anomaly Detection in Power System State Estimation: Review and New Directions, 2023, Energies
  • Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation, 2020, arXiv (Cornell University)
  • The Projected Bellman Equation in Reinforcement Learning, 2024, IEEE Transactions on Automatic Control

Sean P. Meyn is also an author of a book published by Cambridge University Press titled Control Systems and Reinforcement Learning, released in 2022. This book has received citations reflecting its use in the academic community.

The scientist's work has been recognized with the IEEE Fellow award in 2002 for contributions to stochastic control, dynamic optimization, and control of large networks.

Best Publications

  • Markov Chains and Stochastic Stability

    Sean Meyn;Richard L. Tweedie

  • Stability of Markovian processes III: Foster–Lyapunov criteria for continuous-time processes

    Sean P. Meyn;R. L. Tweedie

  • Control Techniques for Complex Networks

    Sean Meyn

  • The O.D. E. Method for Convergence of Stochastic Approximation and Reinforcement Learning

    V. S. Borkar;S. P. Meyn

  • Stability of Markovian processes II: continuous-time processes and sampled chains

    Sean P. Meyn;R. L. Tweedie

  • Stability of queueing networks and scheduling policies

    P.R. Kumar;S.P. Meyn

  • Computable Bounds for Geometric Convergence Rates of Markov Chains

    Sean P. Meyn;R. L. Tweedie

  • Stability of Markovian processes. I : Criteria for discrete-time chains

    Sean P. Meyn;R. L. Tweedie

  • Stability and convergence of moments for multiclass queueing networks via fluid limit models

    J.G. Dai;S.P. Meyn

  • Ancillary Service to the Grid Through Control of Fans in Commercial Building HVAC Systems

    He Hao;Yashen Lin;Anupama S. Kowli;Prabir Barooah

  • Spectral theory and limit theorems for geometrically ergodic Markov processes

    I. Kontoyiannis;S. P. Meyn

  • Experimental Evaluation of Frequency Regulation From Commercial Building HVAC Systems

    Yashen Lin;Prabir Barooah;Sean P. Meyn;Timothy Middelkoop

  • An analysis of reinforcement learning with function approximation

    Francisco S. Melo;Sean P. Meyn;M. Isabel Ribeiro

  • Ancillary Service to the Grid Using Intelligent Deferrable Loads

    Sean P. Meyn;Prabir Barooah;Ana Busic;Yue Chen

  • A sensor-utility-network method for estimation of occupancy in buildings

    Sean Meyn;Amit Surana;Yiqing Lin;Stella M. Oggianu

  • Feedback Particle Filter

    Tao Yang;Prashant G. Mehta;Sean P. Meyn

  • The policy iteration algorithm for average reward Markov decision processes with general state space

    S.P. Meyn

  • Synchronization of Coupled Oscillators is a Game

    Huibing Yin;P. G. Mehta;S. P. Meyn;U. V. Shanbhag

  • Stability of Generalized Jackson Networks

    S. P. Meyn;D. Down

  • Building thermal model reduction via aggregation of states

    Kun Deng;Prabir Barooah;Prashant G. Mehta;Sean P. Meyn

  • Learning in Mean-Field Games

    Huibing Yin;Prashant G. Mehta;Sean P. Meyn;Uday V. Shanbhag

Frequent Co-Authors

Richard L. Tweedie
Richard L. Tweedie University of Minnesota
Prabir Barooah
Prabir Barooah University of Florida
Venugopal V. Veeravalli
Venugopal V. Veeravalli University of Illinois at Urbana-Champaign
Peter W. Glynn
Peter W. Glynn Stanford University
Peter E. Caines
Peter E. Caines McGill University
P. R. Kumar
P. R. Kumar Texas A&M University
Vivek S. Borkar
Vivek S. Borkar Indian Institute of Technology Bombay
Tamer Basar
Tamer Basar University of Illinois at Urbana-Champaign
Adam Wierman
Adam Wierman California Institute of Technology

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