G. Wang, M. Negrete-Pincetic, A. Kowli, E. Shafieepoorfard, and S. Meyn. Real-Time Prices in an Entropic Grid
G. Wang, A. Kowli, M. Negrete-Pincetic, E. Shafieepoorfard, S. Meyn and U. Shanbhag. A Control Theorist's Perspective on Dynamic Competitive Equilibria in Electricity Markets
S. Meyn, M. Negrete-Pincetic, G. Wang, A. Kowli, and E. Shafieepoorfard. The Value of Volatile Resources in Electricity Markets
G. Wang, U. V. Shanbhag, T. Zheng, E. Litvinov, and S. P. Meyn. A Pivot-Based Global Optimization Technique for Convex Hull Pricing
T. Yang, P. G. Mehta, S. P. Meyn. Feedback Particle Filter with Mean-field Coupling
S. Meyn and A. Surana. TD-Learning with Exploration
S. Meyn, W. Chen, and D. O'Neill. Optimal Cross-layer Wireless Control Policies using TD-Learning
W. Chen, D. Huang, A. Kulkarni, J. Unnikrishnan, Q. Zhu, P. Mehta, S. Meyn, and A. Wierman. Approximate Dynamic Programming using Fluid and Diffusion Approximations with Applications to Power Management
H. Yin, P. G. Mehta, S. Meyn and U. V. Shanbhag. Synchronization of Coupled Oscillators is a Game
D. Huang and S. Meyn. Feature Extraction for Universal Hypothesis Testing via Rank-constrained Optimization
R. Tomastik, S. Narayanan, A. Banaszuk, and S. Meyn. Model-based Real-Time Estimation of Building Occupancy During Emergency Egress.
S. Meyn, A. Surana, Y. Lin, S. M. Oggianu, S. Narayanan, and T. A. Frewen. A Sensor-Utility-Network Method for Estimation of Occupancy Distribution in Buildings
K. Deng, P.G. Mehta, and S.P. Meyn, An Information-Theoretic Framework to Aggregate a Markov Chain
K. Deng, P.G. Mehta, and S.P. Meyn, A Simulation-Based Method for Aggregating Markov Chains
S. Meyn, A. Surana, Y. Lin, S. Narayanan, Anomaly Detection Using Projective Markov Models in a Distributed Sensor Network
K. Deng, W. Chen, P. G. Mehta, S. Meyn. Resource Pooling for Optimal Evacuation of a Large Building.
G. Mathew and S. Meyn. Shannon meets Bellman: Feature based Markovian models for detection and optimization
I.-K. Cho and S.P. Meyn. Efficiency and Marginal Cost Pricing in Dynamic Competitive Markets with Friction
I.-K. Cho and S.P. Meyn. A Dynamic Newsboy Model for Optimal Reserve Management in Electricity Markets.
G. Fort, S. Meyn, E. Moulines, and P. Priouret. ODE methods for skip-free Markov chain stability with applications to MCMC
D. Huang, J. Unnikrishnan, S. Meyn, V. Veeravalli, and A. Surana. Statistical SVMs for robust detection, supervised learning, and universal classification (ITW 2009).
E. Abbe, M. Médard, S. P. Meyn, and L. Zheng. Finding the Best Mismatched Detector for Channel Coding and Hypothesis Testing
C. Pandit, J. Huang, S. Meyn, M. Médard, and V. Veeravalli. Entropy, Inference, and Channel Coding (IMA Summer Workshop on Wireless Communications, 2005)
C. Pandit, J. Huang, S. Meyn, V. Veeravalli. Extremal Distributions in Information Theory and Hypothesis Testing (ITW 2004)
S. Kyriazopoulou-Panagiotopoulou, I. Kontoyiannis and S. P. Meyn. Control Variates as Screening Functions
I. Kontoyiannis and S. P. Meyn. Computable exponential bounds for screened estimation and simulation
I. Kontoyiannis, L.A. Lastras-Montaño, and S.P. Meyn. Relative Entropy and Exponential Deviation Bounds for General Markov Chains (ISIT 2005)
D. Gamarnik and S. Meyn. On Exponential Ergodicity of Multiclass Queueing Networks.
S. Yuksel, T. Basar, and S. Meyn. Optimal causal coding of Markov sources in continuous alphabets with applications in linear control systems.
I. Kontoyiannis and S. P. Meyn. Approximating a diffusion by a Hidden Markov Model.
I. Kontoyiannis and S. P. Meyn. Geometric ergodicity and the spectral gap of non-reversible Markov chains.
V. Borkar and S. Meyn. Oja's Algorithm for Graph Clustering and Markov Spectral Decomposition.
C. Lin, V. V. Veeravalli, and S. Meyn. Distributed Beamforming with Feedback: Convergence Analysis.
K. R. Duffy and S. P. Meyn. Most likely paths to error when estimating the mean of a reflected random walk.
J. Blanchet, P. Glynn and S. Meyn. Large Deviations for the Empirical Mean of an M/M/1 Queue.
K. R. Duffy and S. P. Meyn. Estimating loynes' exponent
J. Unnikrishnan, D. Huang, S. Meyn, A. Surana, and V. Veeravalli. Universal and composite hypothesis testing via mismatched divergence.
J. Unnikrishnan, V. V. Veeravalli, and S. Meyn. Minimax robust quickest change detection.
J. Unnikrishnan, V. Venugopal, and S. Meyn. Least favorable distributions for robust quickest change detection
C. Pandit and S. P. Meyn. Robust Measurement-Based Admission Control Using Markov's Theory of Canonical Distributions.
A. G. Alleyne, D. J. Block, S. P. Meyn, W. R. Perkins, and M. W. Spong. An Interdisciplinary, Inter-Departmental Control Systems Laboratory at the University of Illinois. (IEEE explore).
I. Kontoyiannis and S. P. Meyn. Large deviations asymptotics and the spectral theory of multiplicatively regular Markov Processes
V. Tadic, S.P. Meyn and R. Tempo. Randomized Algorithms for Semi-Infinite Programming Problems (Springer Verlag, 2005)
J. Huang, S. Meyn, M. Médard. Error Exponents for Channel Coding and Signal Constellation Design
V. S. Borkar and S. P. Meyn. Risk sensitive optimal control: existence and synthesis for models with unbounded cost
I. Kontoyiannis and S. P. Meyn. Spectral theory and Limit theory for geometrically ergodic Markov processes
M. Médard, J. Huang, A. J. Goldsmith, S. P. Meyn, and T. P. Coleman. Capacity of Time-Slotted ALOHA Packetized Multiple-Access Systems Over the AWGN Channel
S. G. Henderson, S. P. Meyn, and V. Tadic. Performance evaluation and policy selection in multiclass networks.
S. Shakkottai, R. Srikant, and S. Meyn. Boundedness of utility function based congestion controllers in the presence of delay.
M. Chen, C. Pandit, and S. P. Meyn. In search of sensitivity in network optimization.
R. Dubrawski, M. Chen and S. Meyn. Management of demand-driven production systems
J. Huang, Kontoyiannis, I. and S.P. Meyn. The O.D.E. Method and Spectral Theory of Markov Operators
V. S. Borkar and S. P. Meyn. The O.D.E. method for convergence of stochastic approximation and reinforcement learning
S. Balaji and S. P. Meyn. Multiplicative ergodicity and large deviations for an irreducible Markov chain
R-R. Chen and S. P. Meyn. Value iteration and optimization of multiclass queueing networks
D. Down and S. P. Meyn. Piecewise linear test functions for stability of queueing networks
S. P. Meyn and J. G. Dai. Stability and convergence of moments for multiclass queueing networks via fluid limit models.
S. P. Meyn and R. L. Tweedie. State-dependent criteria for convergence of Markov chains.
S. P. Meyn and R. L. Tweedie. Computable bounds for convergence rates of Markov chains
P. R. Kumar and S. P. Meyn. Duality and linear programs for stability and performance analysis of queueing networks and
P. R. Kumar and S. P. Meyn. Stability of queueing networks and scheduling policies
S. P. Meyn and D. Down. Stability of generalized Jackson networks
R. Lund, S. P. Meyn, and R. L. Tweedie. Exponential convergence rates of convergence of stochastically monotone Markov processes
D. Down and S. P. Meyn, and R. L. Tweedie. Exponential and uniform ergodicity of Markov processes
Meyn, S.P. and R.L. Tweedie, Generalized Resolvents and Harris Recurrence of Markov Processes
P. Glynn and S. P. Meyn. A Lyapunov bound for solutions of Poisson's equation
S. P. Meyn. Ergodic theorems for discrete time stochastic systems using a stochastic Lyapunov function
L. J. Brown, S. P. Meyn and R. A. Weber. Adaptive dead-time compensation with application to a robotic welding system
S. P. Meyn and P. E. Caines. Asymptotic behavior of stochastic systems possessing Markovian realizations.
S. P. Meyn and L. Brown. Model reference adaptive control of time varying and stochastic systems
S. P. Meyn and R. L. Tweedie. Criteria for stability of Markovian processes III: Foster-Lyapunov criteria for continuous time processes, with examples
S. P. Meyn and R. L. Tweedie. Criteria for stability of Markovian processes II: continuous time processes and sampled chains
S. P. Meyn and R. L. Tweedie. Criteria for stability of Markovian processes I: Discrete time chains
S. P. Meyn, and P. E. Caines. A new approach to stochastic adaptive control