{"id":65,"date":"2021-04-15T15:09:39","date_gmt":"2021-04-15T15:09:39","guid":{"rendered":"https:\/\/meyn.ece.ufl.edu\/?page_id=65"},"modified":"2026-04-13T13:36:26","modified_gmt":"2026-04-13T18:36:26","slug":"archive","status":"publish","type":"page","link":"https:\/\/faculty.eng.ufl.edu\/meyn\/archive\/","title":{"rendered":"Publication and Document Archive"},"content":{"rendered":"

Bib Files<\/h2>\n

strings.bib<\/strong><\/a> | markov.bib<\/strong><\/a> | q.bib<\/strong><\/a><\/p>\n

\n\n\n\n
Control Techniques for Complex Networks<\/b><\/a>Appendix is an expanded Crash Course on Markov Chains & Stochastic Stability<\/i><\/a>
\nHere is the original crash course<\/i><\/a><\/p>\n

G. Wang, M. Negrete-Pincetic, A. Kowli, E. Shafieepoorfard, S. Meyn and U. Shanbhag. Dynamic Competitive Equilibria in Electricity Markets<\/a><\/p>\n

G. Wang, M. Negrete-Pincetic, A. Kowli, E. Shafieepoorfard, and S. Meyn. Real-Time Prices in an Entropic Grid<\/a><\/p>\n

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<\/a><\/p>\n

S. Meyn, M. Negrete-Pincetic, G. Wang, A. Kowli, and E. Shafieepoorfard. The Value of Volatile Resources in Electricity Markets<\/a>\u00a0<\/span><\/p>\n

G. Wang, U. V. Shanbhag, T. Zheng, E. Litvinov, and S. P. Meyn. A Pivot-Based Global Optimization Technique for Convex Hull Pricing<\/a><\/p>\n

T. Yang, P. G. Mehta, S. P. Meyn. Feedback Particle Filter with Mean-field Coupling<\/a><\/p>\n

S. Meyn and A. Surana. TD-Learning with Exploration<\/a><\/p>\n

P. G. Mehta and S. Meyn. Q<\/i>-learning and Pontryagin’s Minimum Principle<\/a> (convergence recently resolved using D. Shirodkar and S. Meyn, Quasi Stochastic Approximation<\/i><\/a>)<\/p>\n

S. Meyn, W. Chen, and D. O’Neill. Optimal Cross-layer Wireless Control Policies using TD-Learning<\/a><\/p>\n

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<\/a><\/p>\n

H. Yin, P. G. Mehta, S. Meyn and U. V. Shanbhag. Synchronization of Coupled Oscillators is a Game<\/a><\/p>\n

D. Huang and S. Meyn. Feature Extraction for Universal Hypothesis Testing via Rank-constrained Optimization<\/a><\/p>\n

R. Tomastik, S. Narayanan, A. Banaszuk, and S. Meyn. Model-based Real-Time Estimation of Building Occupancy During Emergency Egress<\/a>.<\/p>\n

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<\/a><\/p>\n

K. Deng, P.G. Mehta, and S.P. Meyn, An Information-Theoretic Framework to Aggregate a Markov Chain\u00a0<\/span><\/a><\/p>\n

K. Deng, P.G. Mehta, and S.P. Meyn, A Simulation-Based Method for Aggregating Markov Chains<\/a><\/p>\n

S. Meyn, A. Surana, Y. Lin, S. Narayanan, Anomaly Detection Using Projective Markov Models in a Distributed Sensor Network<\/a><\/p>\n

K. Deng, W. Chen, P. G. Mehta, S. Meyn. Resource Pooling for Optimal Evacuation of a Large Building<\/a>.\u00a0<\/span><\/p>\n

G. Mathew and S. Meyn. Shannon meets Bellman: Feature based Markovian models for detection and optimization<\/a><\/p>\n

I.-K. Cho and S.P. Meyn. Efficiency and Marginal Cost Pricing in Dynamic Competitive Markets with Friction<\/a><\/p>\n

I.-K. Cho and S.P. Meyn. A Dynamic Newsboy Model for Optimal Reserve Management in Electricity Markets<\/a>.<\/p>\n

G. Fort, S. Meyn, E. Moulines, and P. Priouret. ODE methods for skip-free Markov chain stability with applications to MCMC<\/a><\/p>\n

D. Huang, J. Unnikrishnan, S. Meyn, V. Veeravalli, and A. Surana. Statistical SVMs for robust detection, supervised learning, and universal classification<\/a> (ITW 2009).<\/p>\n

E. Abbe, M. M\u00e9dard, S. P. Meyn, and L. Zheng. Finding the Best Mismatched Detector for Channel Coding and Hypothesis Testing<\/a><\/p>\n

C. Pandit, J. Huang, S. Meyn, M. M\u00e9dard, and V. Veeravalli. Entropy, Inference, and Channel Coding<\/a> (IMA Summer Workshop on Wireless Communications, 2005<\/a>)<\/p>\n

C. Pandit, J. Huang, S. Meyn, V. Veeravalli. Extremal Distributions in Information Theory and Hypothesis Testing<\/a> (ITW 2004)<\/p>\n

S. Kyriazopoulou-Panagiotopoulou, I. Kontoyiannis and S. P. Meyn. Control Variates as Screening Functions<\/a><\/p>\n

I. Kontoyiannis and S. P. Meyn. Computable exponential bounds for screened estimation and simulation<\/a><\/p>\n

I. Kontoyiannis, L.A. Lastras-Monta\u00f1o, and S.P. Meyn. Relative Entropy and Exponential Deviation Bounds for General Markov Chains<\/a> (ISIT 2005)<\/p>\n

S. Meyn. Stability and asymptotic optimality of generalized MaxWeight policies<\/a><\/p>\n

D. Gamarnik and S. Meyn. On Exponential Ergodicity of Multiclass Queueing Networks<\/a>.<\/p>\n

S. Yuksel, T. Basar, and S. Meyn. Optimal causal coding of Markov sources in continuous alphabets with applications in linear control systems<\/a>.<\/p>\n

I. Kontoyiannis and S. P. Meyn. Approximating a diffusion by a Hidden Markov Model<\/a>.<\/p>\n

I. Kontoyiannis and S. P. Meyn. Geometric ergodicity and the spectral gap of non-reversible Markov chains<\/a>.<\/p>\n

V. Borkar and S. Meyn. Oja’s Algorithm for Graph Clustering and Markov Spectral Decomposition<\/a>.<\/p>\n

C. Lin, V. V. Veeravalli, and S. Meyn. Distributed Beamforming with Feedback: Convergence Analysis<\/a>.<\/p>\n

W. Chen, D. Traskov, M. Heindlmaier, M. M\u00e9dard, S. Meyn, and A. Ozdaglar. Coding and control for communication networks<\/a><\/p>\n

K. R. Duffy and S. P. Meyn. Most likely paths to error when estimating the mean of a reflected random walk<\/a>.<\/p>\n

J. Blanchet, P. Glynn and S. Meyn. Large Deviations for the Empirical Mean of an M\/M\/1 Queue<\/a>.<\/p>\n

K. R. Duffy and S. P. Meyn. Estimating loynes’ exponent<\/a><\/p>\n

J. Unnikrishnan, D. Huang, S. Meyn, A. Surana, and V. Veeravalli. Universal and composite hypothesis testing via mismatched divergence.<\/a><\/p>\n

J. Unnikrishnan, V. V. Veeravalli, and S. Meyn. Minimax robust quickest change detection<\/a>.<\/p>\n

J. Unnikrishnan, V. Venugopal, and S. Meyn. Least favorable distributions for robust quickest change detection<\/a><\/p>\n

C. Pandit and S. P. Meyn. Robust Measurement-Based Admission Control Using Markov’s Theory of Canonical Distributions<\/a>.<\/p>\n

J. Huang and S. P. Meyn. Characterization and Computation of Optimal Distributions for Channel Coding<\/a>.<\/p>\n

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<\/a>. (IEEE explore<\/i><\/a>).<\/p>\n

I. Kontoyiannis and S. P. Meyn. Large deviations asymptotics and the spectral theory of multiplicatively regular Markov Processes<\/a><\/p>\n

S. P. Meyn. Workload Models for Stochastic Networks: Value Functions and Performance Evaluation<\/a>.<\/p>\n

S. P. Meyn, Dynamic safety-stocks for asymptotic optimality in stochastic networks<\/a>.<\/p>\n

S. P. Meyn. Large deviation asymptotics and control variates for simulating large functions<\/a>.<\/p>\n

V. Tadic, S.P. Meyn and R. Tempo. Randomized Algorithms for Semi-Infinite Programming Problems<\/a> (Springer Verlag, 2005)<\/p>\n

C. Pandit, and S. P. Meyn. Worst-Case Large-Deviations with Application to Queueing and Information Theory<\/a>.<\/p>\n

M. Chen, I.-K. Cho, and S. P. Meyn. Reliability by design in a distributed power transmission network<\/a><\/p>\n

J. Huang, S. Meyn, M. M\u00e9dard. Error Exponents for Channel Coding and Signal Constellation Design<\/a><\/p>\n

V. S. Borkar and S. P. Meyn. Risk sensitive optimal control: existence and synthesis for models with unbounded cost<\/a><\/p>\n

W. Huisinga, S. P. Meyn, and C. Schuette. Phase transitions and metastability in Markovian and molecular systems<\/a><\/p>\n

I. Kontoyiannis and S. P. Meyn. Spectral theory and Limit theory for geometrically ergodic Markov processes<\/a>\u00a0<\/span><\/p>\n

M. M\u00e9dard, 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<\/a><\/p>\n

S. G. Henderson, S. P. Meyn, and V. Tadic. Performance evaluation and policy selection in multiclass networks<\/a>.<\/p>\n

S. Shakkottai, R. Srikant, and S. Meyn. Boundedness of utility function based congestion controllers in the presence of delay<\/a>.<\/p>\n

M. Chen, C. Pandit, and S. P. Meyn. In search of sensitivity in network optimization<\/a>.<\/p>\n

R. Dubrawski, M. Chen and S. Meyn. Management of demand-driven production systems<\/a><\/p>\n

S. P. Meyn, Sequencing and routing in multiclass queueing networks. Part I: feedback regulation<\/a>.<\/p>\n

S. P. Meyn, Sequencing and routing in multiclass queueing networks. Part II: Workload Relaxations<\/a><\/p>\n

J. Huang, Kontoyiannis, I. and S.P. Meyn. The O.D.E. Method and Spectral Theory of Markov Operators<\/a><\/p>\n

V. S. Borkar and S. P. Meyn. The O.D.E. method for convergence of stochastic approximation and reinforcement learning<\/a><\/p>\n

S. Balaji and S. P. Meyn. Multiplicative ergodicity and large deviations for an irreducible Markov chain<\/a><\/p>\n

S. P. Meyn. The Policy Iteration Algorithm for Average Reward Markov Decision Processes with General State Space<\/a><\/p>\n

S. P. Meyn. Algorithms for optimization of controlled Markov chains<\/a><\/p>\n

S.P. Meyn. Stability, Performance Evaluation, and Optimization<\/a><\/p>\n

R-R. Chen and S. P. Meyn. Value iteration and optimization of multiclass queueing networks<\/a><\/p>\n

D. Down and S. P. Meyn. Piecewise linear test functions for stability of queueing networks<\/a><\/p>\n

S. P. Meyn. Transience of multiclass queueing networks via fluid limit models<\/a><\/p>\n

S. P. Meyn and J. G. Dai. Stability and convergence of moments for multiclass queueing networks via fluid limit models<\/a>.<\/p>\n

S.P. Meyn, Stability and Optimization of Queueing Networks and Their Fluid Models<\/a><\/p>\n

S. P. Meyn and R. L. Tweedie. State-dependent criteria for convergence of Markov chains<\/a>.<\/p>\n

S. P. Meyn and R. L. Tweedie. Computable bounds for convergence rates of Markov chains<\/a><\/p>\n

P. R. Kumar and S. P. Meyn. Duality and linear programs for stability and performance analysis of queueing networks and
\nscheduling policies<\/a><\/p>\n

P. R. Kumar and S. P. Meyn. Stability of queueing networks and scheduling policies<\/a><\/p>\n

S. P. Meyn and D. Down. Stability of generalized Jackson networks<\/p>\n

R. Lund, S. P. Meyn, and R. L. Tweedie. Exponential convergence rates of convergence of stochastically monotone Markov processes<\/a><\/p>\n

D. Down and S. P. Meyn, and R. L. Tweedie. Exponential and uniform ergodicity of Markov processes<\/a><\/p>\n

Meyn, S.P. and R.L. Tweedie, Generalized Resolvents and Harris Recurrence of Markov Processes<\/a><\/p>\n

P. Glynn and S. P. Meyn. A Lyapunov bound for solutions of Poisson’s equation<\/a><\/p>\n

S. P. Meyn. Ergodic theorems for discrete time stochastic systems using a stochastic Lyapunov function<\/p>\n

L. J. Brown, S. P. Meyn and R. A. Weber. Adaptive dead-time compensation with application to a robotic welding system<\/a><\/p>\n

S. P. Meyn and P. E. Caines. Asymptotic behavior of stochastic systems possessing Markovian realizations.<\/p>\n

S. P. Meyn and L. Brown. Model reference adaptive control of time varying and stochastic systems<\/p>\n

S. P. Meyn and R. L. Tweedie. Criteria for stability of Markovian processes III: Foster-Lyapunov criteria for continuous time processes, with examples<\/a><\/p>\n

S. P. Meyn and R. L. Tweedie. Criteria for stability of Markovian processes II: continuous time processes and sampled chains<\/a><\/p>\n

S. P. Meyn and R. L. Tweedie. Criteria for stability of Markovian processes I: Discrete time chains<\/a><\/p>\n

S. P. Meyn, and P. E. Caines. A new approach to stochastic adaptive control<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

Bib Files strings.bib | markov.bib | q.bib Control Techniques for Complex NetworksAppendix is an expanded Crash Course on Markov Chains & Stochastic Stability Here is the original crash course G. Wang, M. Negrete-Pincetic, A. Kowli, E. Shafieepoorfard, S. Meyn and U. Shanbhag. Dynamic Competitive Equilibria in Electricity Markets G. Wang, M. Negrete-Pincetic, A. Kowli, E. […]<\/p>\n","protected":false},"author":1347,"featured_media":0,"parent":0,"menu_order":7,"comment_status":"closed","ping_status":"closed","template":"page-templates\/page-section-nav.php","meta":{"_acf_changed":false,"inline_featured_image":false,"featured_post":"","footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-65","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/faculty.eng.ufl.edu\/meyn\/wp-json\/wp\/v2\/pages\/65","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/faculty.eng.ufl.edu\/meyn\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/faculty.eng.ufl.edu\/meyn\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/faculty.eng.ufl.edu\/meyn\/wp-json\/wp\/v2\/users\/1347"}],"replies":[{"embeddable":true,"href":"https:\/\/faculty.eng.ufl.edu\/meyn\/wp-json\/wp\/v2\/comments?post=65"}],"version-history":[{"count":1,"href":"https:\/\/faculty.eng.ufl.edu\/meyn\/wp-json\/wp\/v2\/pages\/65\/revisions"}],"predecessor-version":[{"id":2869,"href":"https:\/\/faculty.eng.ufl.edu\/meyn\/wp-json\/wp\/v2\/pages\/65\/revisions\/2869"}],"wp:attachment":[{"href":"https:\/\/faculty.eng.ufl.edu\/meyn\/wp-json\/wp\/v2\/media?parent=65"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}