Sean P. Meyn

Orcid: 0000-0002-8558-365X

Affiliations:
  • University of Florida, Gainesville, USA


According to our database1, Sean P. Meyn authored at least 205 papers between 1993 and 2024.

Collaborative distances:

Awards

IEEE Fellow

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

Timeline

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Bibliography

2024
The Projected Bellman Equation in Reinforcement Learning.
IEEE Trans. Autom. Control., December, 2024

Quickest Change Detection Using Mismatched CUSUM.
CoRR, 2024

Design of Interacting Particle Systems for Fast and Efficient Reinforcement Learning.
CoRR, 2024

Dual Ensemble Kalman Filter for Stochastic Optimal Control.
CoRR, 2024

Reinforcement Learning Design for Quickest Change Detection.
CoRR, 2024

Microgrid Frequency Stability: A Proactive Scheme Based on Dynamic Predictions.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2024

Tri-Level Linear Programming Model for Automatic Load Shedding Using Spectral Clustering.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2024

Quickest Change Detection Using Mismatched CUSUM Extended Abstract.
Proceedings of the 60th Annual Allerton Conference on Communication, 2024

2023
State-Space Collapse in Resource Allocation for Demand Dispatch and Its Implications for Distributed Control Design.
IEEE Trans. Autom. Control., December, 2023

Kullback-Leibler-Quadratic Optimal Control.
SIAM J. Control. Optim., October, 2023

Load-Level Control Design for Demand Dispatch With Heterogeneous Flexible Loads.
IEEE Trans. Control. Syst. Technol., July, 2023

Convex Q Learning in a Stochastic Environment: Extended Version.
CoRR, 2023

Stability of Q-Learning Through Design and Optimism.
CoRR, 2023

High-Impedance Non-Linear Fault Detection via Eigenvalue Analysis with low PMU Sampling Rates.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023

High Impedance Fault Detection Through Quasi-Static State Estimation: A Parameter Error Modeling Approach.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023

Balancing the Power Grid with Cheap Assets.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Convex Q-Learning in Continuous Time with Application to Dispatch of Distributed Energy Resources.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Convex Q Learning in a Stochastic Environment.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

The Curse of Memory in Stochastic Approximation.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Learning Optimal Policies in Mean Field Models with Kullback-Leibler Regularization.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Inverse Free Zap Stochastic Approximation Extended Abstract.
Proceedings of the 59th Annual Allerton Conference on Communication, 2023

2022
Q-Learning With Uniformly Bounded Variance.
IEEE Trans. Autom. Control., 2022

Controlled interacting particle algorithms for simulation-based reinforcement learning.
Syst. Control. Lett., 2022

Uncertainty Error Modeling for Non-Linear State Estimation With Unsynchronized SCADA and μPMU Measurements.
CoRR, 2022

Sufficient Exploration for Convex Q-learning.
CoRR, 2022

Model-Free Characterizations of the Hamilton-Jacobi-Bellman Equation and Convex Q-Learning in Continuous Time.
CoRR, 2022

Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Distributed Control Architecture for Optimal Allocation of Grid-responsive Load Aggregations.
Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022

Convex Analytic Theory for Convex Q-Learning.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Bias in Stochastic Approximation Cannot Be Eliminated With Averaging.
Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021
Differential Temporal Difference Learning.
IEEE Trans. Autom. Control., 2021

Revisiting the ODE Method for Recursive Algorithms: Fast Convergence Using Quasi Stochastic Approximation.
J. Syst. Sci. Complex., 2021

The ODE Method for Asymptotic Statistics in Stochastic Approximation and Reinforcement Learning.
CoRR, 2021

Reliable Power Grid: Long Overdue Alternatives to Surge Pricing.
CoRR, 2021

The Conditional Poincaré Inequality for Filter Stability.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Kullback-Leibler-Quadratic Optimal Control in a Stochastic Environment.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Reinforcement Learning-Based Home Energy Management System for Resiliency.
Proceedings of the 2021 American Control Conference, 2021

Convex Q-Learning.
Proceedings of the 2021 American Control Conference, 2021

Accelerating Optimization and Reinforcement Learning with Quasi Stochastic Approximation.
Proceedings of the 2021 American Control Conference, 2021

2020
Diffusion Map-based Algorithm for Gain Function Approximation in the Feedback Particle Filter.
SIAM/ASA J. Uncertain. Quantification, 2020

Convex Q-Learning, Part 1: Deterministic Optimal Control.
CoRR, 2020

Lecture Notes on Control System Theory and Design.
CoRR, 2020

Q-learning with Uniformly Bounded Variance: Large Discounting is Not a Barrier to Fast Learning.
CoRR, 2020

Zap Q-Learning With Nonlinear Function Approximation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Reinforcement Learning for Control of Building HVAC Systems.
Proceedings of the 2020 American Control Conference, 2020

Flexibility capacity of thermostatically controlled loads with cycling/lock-out constraints.
Proceedings of the 2020 American Control Conference, 2020

Zap Q-Learning for Optimal Stopping.
Proceedings of the 2020 American Control Conference, 2020

Model-Free Primal-Dual Methods for Network Optimization with Application to Real-Time Optimal Power Flow.
Proceedings of the 2020 American Control Conference, 2020

Simultaneous Allocation and Control of Distributed Energy Resources via Kullback-Leibler-Quadratic Optimal Control.
Proceedings of the 2020 American Control Conference, 2020

Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Zap Q-Learning With Nonlinear Function Approximation.
CoRR, 2019

Aggregate capacity of TCLs with cycling constraints.
CoRR, 2019

Zap~Q-Learning for Optimal Stopping Time Problems.
CoRR, 2019

Gain function approximation in the Feedback Particle Filter.
CoRR, 2019

State Space Collapse in Resource Allocation for Demand Dispatch.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

What is the Lagrangian for Nonlinear Filtering?
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Kullback-Leibler-Quadratic Optimal Control of Flexible Power Demand.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Distributed Control of Thermostatically Controlled Loads: Kullback-Leibler Optimal Control in Continuous Time.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Quasi-Stochastic Approximation and Off-Policy Reinforcement Learning.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Gain Function Tracking in the Feedback Particle Filter.
Proceedings of the 2019 American Control Conference, 2019

An Approach to Duality in Nonlinear Filtering.
Proceedings of the 2019 American Control Conference, 2019

Data-driven proximal algorithms for the design of structured optimal feedback gains.
Proceedings of the 2019 American Control Conference, 2019

On Matrix Momentum Stochastic Approximation and Applications to Q-learning.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
Estimation and Control of Quality of Service in Demand Dispatch.
IEEE Trans. Smart Grid, 2018

Distributed Computation of Equilibria in Misspecified Convex Stochastic Nash Games.
IEEE Trans. Autom. Control., 2018

Ordinary Differential Equation Methods for Markov Decision Processes and Application to Kullback-Leibler Control Cost.
SIAM J. Control. Optim., 2018

Zap Meets Momentum: Stochastic Approximation Algorithms with Optimal Convergence Rate.
CoRR, 2018

The Use of Marginal Energy Costs in the Design of U.S. Capacity Markets.
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

Action-Constrained Markov Decision Processes With Kullback-Leibler Cost.
Proceedings of the Conference On Learning Theory, 2018

Balancing California's Grid Without Batteries.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Feedback Particle Filter Design Using a Differential-Loss Reproducing Kernel Hilbert Space.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
State Estimation for the Individual and the Population in Mean Field Control With Application to Demand Dispatch.
IEEE Trans. Autom. Control., 2017

Fastest Convergence for Q-learning.
CoRR, 2017

Zap Q-Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Demand Dispatch with Heterogeneous Intelligent Loads.
Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

Error estimates for the kernel gain function approximation in the feedback particle filter.
Proceedings of the 2017 American Control Conference, 2017

Distributed control of a fleet of batteries.
Proceedings of the 2017 American Control Conference, 2017

2016
Feedback Particle Filter for a Continuous-Time Markov Chain.
IEEE Trans. Autom. Control., 2016

Rationally Inattentive Control of Markov Processes.
SIAM J. Control. Optim., 2016

Ergodic Theory for Controlled Markov Chains with Stationary Inputs.
CoRR, 2016

Multivariable feedback particle filter.
Autom., 2016

Smart Fridge / Dumb Grid? Demand Dispatch for the Power Grid of 2020.
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

Learning techniques for feedback particle filter design.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Differential TD learning for value function approximation.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Distributed randomized control for demand dispatch.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Experimental Evaluation of Frequency Regulation From Commercial Building HVAC Systems.
IEEE Trans. Smart Grid, 2015

Ancillary Service to the Grid Using Intelligent Deferrable Loads.
IEEE Trans. Autom. Control., 2015

Approximate optimality with bounded regret in dynamic matching models.
SIGMETRICS Perform. Evaluation Rev., 2015

Poisson's Equation in Nonlinear Filtering.
SIAM J. Control. Optim., 2015

Spectral Decomposition of Demand-Side Flexibility for Reliable Ancillary Services in a Smart Grid.
Proceedings of the 48th Hawaii International Conference on System Sciences, 2015

State estimation and mean field control with application to demand dispatch.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Demand side frequency regulation from commercial building HVAC systems: An experimental study.
Proceedings of the American Control Conference, 2015

2014
Ancillary Service to the Grid Through Control of Fans in Commercial Building HVAC Systems.
IEEE Trans. Smart Grid, 2014

Learning in Mean-Field Games.
IEEE Trans. Autom. Control., 2014

On the Efficiency of Equilibria in Mean-Field Oscillator Games.
Dyn. Games Appl., 2014

Individual risk in mean-field control models for decentralized control, with application to automated demand response.
CoRR, 2014

Optimization of Dynamic Matching Models.
CoRR, 2014

Individual risk in mean field control with application to automated demand response.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Passive dynamics in mean field control.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Generalized Error Exponents for Small Sample Universal Hypothesis Testing.
IEEE Trans. Inf. Theory, 2013

Random-Time, State-Dependent Stochastic Drift for Markov Chains and Application to Stochastic Stabilization Over Erasure Channels.
IEEE Trans. Autom. Control., 2013

Feedback Particle Filter.
IEEE Trans. Autom. Control., 2013

Large deviations for the empirical mean of an M/M/1 queue.
Queueing Syst. Theory Appl., 2013

Introduction to the Issue on Learning-Based Decision Making in Dynamic Systems Under Uncertainty.
IEEE J. Sel. Top. Signal Process., 2013

Low-frequency power-grid ancillary services from commercial building HVAC systems.
Proceedings of the IEEE Fourth International Conference on Smart Grid Communications, 2013

Ancillary service to the grid from deferrable loads: The case for intelligent pool pumps in Florida.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

A feedback particle filter-based approach to optimal control with partial observations.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Multi-dimensional feedback particle filter for coupled oscillators.
Proceedings of the American Control Conference, 2013

Rational inattention in controlled Markov processes.
Proceedings of the American Control Conference, 2013

Ancillary service for the grid via control of commercial building HVAC systems.
Proceedings of the American Control Conference, 2013

2012
Synchronization of Coupled Oscillators is a Game.
IEEE Trans. Autom. Control., 2012

Generalized Error Exponents for Sparse Sample Goodness of Fit Tests
CoRR, 2012

Oja's algorithm for graph clustering, Markov spectral decomposition, and risk sensitive control.
Autom., 2012

Optimality of coincidence-based goodness of fit test for sparse sample problems.
Proceedings of the 2012 Information Theory and Applications Workshop, 2012

Classification with high-dimensional sparse samples.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Real-time prices in an entropic grid.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2012

Error exponents for composite hypothesis testing with small samples.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Feature selection for composite hypothesis testing with small samples: Fundamental limits and algorithms.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

On Nash equilibria in duopolistic power markets subject to make-whole uplift.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

How demand response from commercial buildings will provide the regulation needs of the grid.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011
Minimax Robust Quickest Change Detection.
IEEE Trans. Inf. Theory, 2011

Universal and Composite Hypothesis Testing via Mismatched Divergence.
IEEE Trans. Inf. Theory, 2011

Optimal Kullback-Leibler Aggregation via Spectral Theory of Markov Chains.
IEEE Trans. Autom. Control., 2011

Estimating Loynes' exponent.
Queueing Syst. Theory Appl., 2011

Bifurcation analysis of a heterogeneous mean-field oscillator game model.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Feedback particle filter with mean-field coupling.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

TD-learning with exploration.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Learning equilibria in constrained Nash-Cournot games with misspecified demand functions.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

A recursive learning algorithm for model reduction of Hidden Markov Models.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

A mean-field control-oriented approach to particle filtering.
Proceedings of the American Control Conference, 2011

Quasi stochastic approximation.
Proceedings of the American Control Conference, 2011

2010
Introduction to the special issue on information theory in molecular biology and neuroscience.
IEEE Trans. Inf. Theory, 2010

A Random Search Framework for Convergence Analysis of Distributed Beamforming With Feedback.
IEEE Trans. Inf. Theory, 2010

On exponential ergodicity of multiclass queueing networks.
Queueing Syst. Theory Appl., 2010

Most likely paths to error when estimating the mean of a reflected random walk.
Perform. Evaluation, 2010

A universal divergence-rate estimator for steganalysis in timing channels.
Proceedings of the 2010 IEEE International Workshop on Information Forensics and Security, 2010

On thresholds for robust goodness-of-fit tests.
Proceedings of the 2010 IEEE Information Theory Workshop, 2010

Feature extraction for universal hypothesis testing via rank-constrained optimization.
Proceedings of the IEEE International Symposium on Information Theory, 2010

Learning in mean-field oscillator games.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

The value of volatile resources in electricity markets.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Optimal cross-layer wireless control policies using TD learning.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Aggregation-based model reduction of a Hidden Markov Model.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Building thermal model reduction via aggregation of states.
Proceedings of the American Control Conference, 2010

Foreword.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009
Stability and Asymptotic Optimality of Generalized MaxWeight Policies.
SIAM J. Control. Optim., 2009

Coding and control for communication networks.
Queueing Syst. Theory Appl., 2009

Statistical SVMs for robust detection, supervised learning, and universal classification.
Proceedings of the 2009 IEEE Information Theory Workshop, 2009

Least favorable distributions for robust quickest change detection.
Proceedings of the IEEE International Symposium on Information Theory, 2009

A sensor-utility-network method for estimation of occupancy in buildings.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Anomaly detection using projective Markov models in a distributed sensor network.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Q-learning and Pontryagin's Minimum Principle.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

A simulation-based method for aggregating Markov chains.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Approximate dynamic programming using fluid and diffusion approximations with applications to power management.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

An information-theoretic framework to aggregate a Markov chain.
Proceedings of the American Control Conference, 2009

2008
Distributed Beamforming with Feedback: Convergence Analysis
CoRR, 2008

Control variates as screening functions.
Proceedings of the 3rd International ICST Conference on Performance Evaluation Methodologies and Tools, 2008

Oja's algorithm for graph clustering and Markov spectral decomposition.
Proceedings of the 3rd International ICST Conference on Performance Evaluation Methodologies and Tools, 2008

An analysis of reinforcement learning with function approximation.
Proceedings of the Machine Learning, 2008

Shannon meets Bellman: Feature based Markovian models for detection and optimization.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

On complex spectra and metastability of Markov models.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Resource pooling for optimal evacuation of a large building.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Belief propagation in feedback systems: Connections to bode and observability.
Proceedings of the American Control Conference, 2008

Model reduction for reduced order estimation in traffic models.
Proceedings of the American Control Conference, 2008

Piecewise Linear Dynamic Programming for Constrained POMDPs.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Myopic policies and maxweight policies for stochastic networks.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Efficiency and marginal cost pricing in dynamic competitive markets with friction.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
Robust Measurement-Based Admission Control Using Markov's Theory of Canonical Distributions.
IEEE Trans. Inf. Theory, 2006

Error Exponents for Channel Coding With Application to Signal Constellation Design.
IEEE J. Sel. Areas Commun., 2006

Reliability by design in distributed power transmission networks.
Autom., 2006

Exponential bounds and stopping rules for MCMC and general Markov chains.
Proceedings of the 1st International Conference on Performance Evaluation Methodolgies and Tools, 2006

ODE methods for Markov chain stability with applications to MCMC.
Proceedings of the 1st International Conference on Performance Evaluation Methodolgies and Tools, 2006

2005
Characterization and computation of optimal distributions for channel coding.
IEEE Trans. Inf. Theory, 2005

Workload Models for Stochastic Networks: Value Functions and Performance Evaluation.
IEEE Trans. Autom. Control., 2005

Dynamic Safety-Stocks for Asymptotic Optimality in Stochastic Networks.
Queueing Syst. Theory Appl., 2005

Relative entropy and exponential deviation bounds for general Markov chains.
Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005

2004
Capacity of time-slotted ALOHA packetized multiple-access systems over the AWGN channel.
IEEE Trans. Wirel. Commun., 2004

Management of demand-driven production systems.
IEEE Trans. Autom. Control., 2004

Extremal distributions in information theory and hypothesis testing.
Proceedings of the 2004 IEEE Information Theory Workshop, 2004

Asymptotic robust Neyman-Pearson hypothesis testing based on moment classes.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

Error exponents for channel coding and signal constellation design.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

2003
Bounds on the throughput of congestion controllers in the presence of feedback delay.
IEEE/ACM Trans. Netw., 2003

Sequencing and Routing in Multiclass Queueing Networks Part II: Workload Relaxations.
SIAM J. Control. Optim., 2003

In Search of Sensitivity in Network Optimization.
Queueing Syst. Theory Appl., 2003

Performance Evaluation and Policy Selection in Multiclass Networks.
Discret. Event Dyn. Syst., 2003

Randomized algorithms for semi-infinite programming problems.
Proceedings of the 7th European Control Conference, 2003

Dynamics of ancillary service prices in power distribution systems.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

Value functions and performance evaluation in stochastic network models.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

Asymptotic properties of two time-scale stochastic approximation algorithms with constant step sizes.
Proceedings of the American Control Conference, 2003

2002
Risk-Sensitive Optimal Control for Markov Decision Processes with Monotone Cost.
Math. Oper. Res., 2002

2001
Sequencing and Routing in Multiclass Queueing Networks Part I: Feedback Regulation.
SIAM J. Control. Optim., 2001

Boundedness of utility function based congestion controllers in the presence of delay.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

2000
The O.D.E. Method for Convergence of Stochastic Approximation and Reinforcement Learning.
SIAM J. Control. Optim., 2000

1999
Bounds on achievable performance in the identification and adaptive control of time-varying systems.
IEEE Trans. Autom. Control., 1999

Value iteration and optimization of multiclass queueing networks.
Queueing Syst. Theory Appl., 1999

1998
Adaptive dead-time compensation with application to a robotic welding system.
IEEE Trans. Control. Syst. Technol., 1998

1997
The policy iteration algorithm for average reward Markov decision processes with general state space.
IEEE Trans. Autom. Control., 1997

Piecewise linear test functions for stability and instability of queueing networks.
Queueing Syst. Theory Appl., 1997

Efficient Simulation of Multiclass Queueing Networks.
Proceedings of the 29th conference on Winter simulation, 1997

1996
Duality and linear programs for stability and performance analysis of queuing networks and scheduling policies.
IEEE Trans. Autom. Control., 1996

1995
Stability of queueing networks and scheduling policies.
IEEE Trans. Autom. Control., 1995

Stability of acyclic multiclass queueing networks.
IEEE Trans. Autom. Control., 1995

Stability and convergence of moments for multiclass queueing networks via fluid limit models.
IEEE Trans. Autom. Control., 1995

1993
Recurrence times of buffer overflows in Jackson networks.
IEEE Trans. Inf. Theory, 1993

Model reference adaptive control of time varying and stochastic systems.
IEEE Trans. Autom. Control., 1993

Markov Chains and Stochastic Stability
Communications and Control Engineering Series, Springer, ISBN: 978-1-4471-3267-7, 1993


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