Serdar Yüksel

Orcid: 0000-0001-6099-5001

Affiliations:
  • Queen's University, Kingston, Canada


According to our database1, Serdar Yüksel authored at least 212 papers between 2003 and 2024.

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Bibliography

2024
Reinforcement Learning for Near-Optimal Design of Zero-Delay Codes for Markov Sources.
IEEE Trans. Inf. Theory, November, 2024

Optimal Push and Pull-Based Edge Caching for Dynamic Content.
IEEE/ACM Trans. Netw., August, 2024

Stochastic Observability and Filter Stability Under Several Criteria.
IEEE Trans. Autom. Control., May, 2024

Q-Learning for Stochastic Control under General Information Structures and Non-Markovian Environments.
Trans. Mach. Learn. Res., 2024

On Borkar and Young Relaxed Control Topologies and Continuous Dependence of Invariant Measures on Control Policy.
SIAM J. Control. Optim., 2024

Nash Equilibria for Exchangeable Team-Against-Team Games, Their Mean-Field Limit, and the Role of Common Randomness.
SIAM J. Control. Optim., 2024

Average Cost Optimality of Partially Observed MDPs: Contraction of Nonlinear Filters and Existence of Optimal Solutions and Approximations.
SIAM J. Control. Optim., 2024

Robust decentralized control of coupled systems via risk sensitive control of decoupled or simple models with measure change.
Syst. Control. Lett., 2024

Near optimality of Lipschitz and smooth policies in controlled diffusions.
Syst. Control. Lett., 2024

Robustness to Model Approximation, Learning, and Sample Complexity in Wasserstein Regular MDPs.
CoRR, 2024

Approximation Schemes for POMPDs with Continuous Spaces and Their Near Optimality.
CoRR, 2024

Decentralized Stochastic Control in Standard Borel Spaces: Centralized MDP Reductions, Near Optimality of Finite Window Local Information, and Q-Learning.
CoRR, 2024

Generalizing Better Response Paths and Weakly Acyclic Games.
CoRR, 2024

Paths to Equilibrium in Normal-Form Games.
CoRR, 2024

Quantum Markov Decision Processes Part II: Optimal Solutions and Algorithms.
CoRR, 2024

Quantum Markov Decision Processes Part I: General Theory, Approximations, and Classes of Policies.
CoRR, 2024

Large Decentralized Continuous-Time Convex Stochastic Teams and Their Mean-Field Limits.
Proceedings of the American Control Conference, 2024

Average Cost Optimality of Partially Observed MDPs: Contraction of Non-Linear Filters and Existence of Optimal Solutions and Approximations.
Proceedings of the American Control Conference, 2024

Near-Optimality of Finite-Memory Codes and Reinforcement Learning for Zero-Delay Coding of Markov Sources.
Proceedings of the American Control Conference, 2024

2023
An Asymptotically Optimal Two-Part Fixed-Rate Coding Scheme for Networked Control With Unbounded Noise.
IEEE Trans. Inf. Theory, October, 2023

Isomorphism Properties of Optimality and Equilibrium Solutions Under Equivalent Information Structure Transformations: Stochastic Dynamic Games and Teams.
SIAM J. Control. Optim., October, 2023

Signaling games in multiple dimensions: Geometric properties of equilibrium solutions.
Autom., October, 2023

Satisficing Paths and Independent Multiagent Reinforcement Learning in Stochastic Games.
SIAM J. Math. Data Sci., September, 2023

Optimality of Independently Randomized Symmetric Policies for Exchangeable Stochastic Teams with Infinitely Many Decision Makers.
Math. Oper. Res., August, 2023

Subjective Equilibria Under Beliefs of Exogenous Uncertainty for Dynamic Games.
SIAM J. Control. Optim., June, 2023

Continuity Properties of Value Functions in Information Structures for Zero-Sum and General Games and Stochastic Teams.
SIAM J. Control. Optim., April, 2023

Stochastic control and stability with applications: Ari Arapostathis memorial issue.
Syst. Control. Lett., April, 2023

Quadratic Signaling With Prior Mismatch at an Encoder and Decoder: Equilibria, Continuity, and Robustness Properties.
IEEE Trans. Autom. Control., February, 2023

Dual Effect, Certainty Equivalence, and Separation Revisited: A Counterexample and a Relaxed Characterization for Optimality.
IEEE Trans. Autom. Control., February, 2023

Zero-sum games involving teams against teams: Existence of equilibria, and comparison and regularity in information.
Syst. Control. Lett., February, 2023

Q-Learning for MDPs with General Spaces: Convergence and Near Optimality via Quantization under Weak Continuity.
J. Mach. Learn. Res., 2023

Q-Learning for Continuous State and Action MDPs under Average Cost Criteria.
CoRR, 2023

Asynchronous Decentralized Q-Learning: Two Timescale Analysis By Persistence.
CoRR, 2023

Asynchronous Decentralized Q-Learning in Stochastic Games.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Reinforcement Learning for Zero-Delay Coding Over a Noisy Channel with Feedback.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Non-Sequential Decentralized Stochastic Control and Static Reduction.
Proceedings of the American Control Conference, 2023

Nash Equilibria for Exchangeable Team against Team Games and their Mean Field Limit.
Proceedings of the American Control Conference, 2023

Decentralized Multi-Agent Reinforcement Learning for Continuous-Space Stochastic Games.
Proceedings of the American Control Conference, 2023

2022
Signaling Games for Log-Concave Distributions: Number of Bins and Properties of Equilibria.
IEEE Trans. Inf. Theory, 2022

Quadratic Privacy-Signaling Games and the MMSE Information Bottleneck Problem for Gaussian Sources.
IEEE Trans. Inf. Theory, 2022

Zero-Delay Lossy Coding of Linear Vector Markov Sources: Optimality of Stationary Codes and Near Optimality of Finite Memory Codes.
IEEE Trans. Inf. Theory, 2022

Decentralized Learning for Optimality in Stochastic Dynamic Teams and Games With Local Control and Global State Information.
IEEE Trans. Autom. Control., 2022

Robustness to Incorrect Priors and Controlled Filter Stability in Partially Observed Stochastic Control.
SIAM J. Control. Optim., 2022

Near Optimality of Finite Memory Feedback Policies in Partially Observed Markov Decision Processes.
J. Mach. Learn. Res., 2022

Independent Learning in Mean-Field Games: Satisficing Paths and Convergence to Subjective Equilibria.
CoRR, 2022

Robustness to incorrect models and data-driven learning in average-cost optimal stochastic control.
Autom., 2022

An Asymptotically Optimal Two-Part Coding Scheme for Networked Control under Fixed-Rate Constraints.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Independent Learning and Subjectivity in Mean-Field Games.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Near Optimality of Finite Memory Policies for POMPDs with Continuous Spaces.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Optimal Solutions to Infinite-Player Stochastic Teams and Mean-Field Teams.
IEEE Trans. Autom. Control., 2021

Invariance Properties of Controlled Stochastic Nonlinear Systems Under Information Constraints.
IEEE Trans. Autom. Control., 2021

Optimal Policies for Convex Symmetric Stochastic Dynamic Teams and their Mean-Field Limit.
SIAM J. Control. Optim., 2021

Comparison of Information Structures for Zero-Sum Games and a Partial Converse to Blackwell Ordering in Standard Borel Spaces.
SIAM J. Control. Optim., 2021

Ergodicity Conditions for Controlled Stochastic Nonlinear Systems under Information Constraints: A Volume Growth Approach.
SIAM J. Control. Optim., 2021

An Independent Learning Algorithm for a Class of Symmetric Stochastic Games.
CoRR, 2021

Signaling Games in Higher Dimensions: Geometric Properties of Equilibrium Solutions.
CoRR, 2021

Convergence of Finite Memory Q-Learning for POMDPs and Near Optimality of Learned Policies under Filter Stability.
CoRR, 2021

Optimal Signaling with Mismatch in Priors of an Encoder and Decoder.
CoRR, 2021

Signaling Games in Higher Dimensions: Geometric Properties of Equilibrium Partitions.
Proceedings of the 19th International Symposium on Modeling and Optimization in Mobile, 2021

Policy-Dependent and Policy-Independent Static Reduction of Stochastic Dynamic Teams and Games and Fragility of Equivalence Properties.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Convergence and Near Optimality of Q-Learning with Finite Memory for Partially Observed Models.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Continuity Properties of Value Functions in Information Structures for Stochastic Team Problems and Zero-Sum and General Games.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Ergodicity of Controlled Stochastic Nonlinear Systems under Information Constraints: Refined Bounds via Splitting.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Two-Way Gaussian Networks With a Jammer and Decentralized Control.
IEEE Trans. Control. Netw. Syst., 2020

Asymptotic Optimality of Finite Model Approximations for Partially Observed Markov Decision Processes With Discounted Cost.
IEEE Trans. Autom. Control., 2020

Metric and Topological Entropy Bounds for Optimal Coding of Stochastic Dynamical Systems.
IEEE Trans. Autom. Control., 2020

Stochastic Control Approach to Reputation Games.
IEEE Trans. Autom. Control., 2020

A Universal Dynamic Program and Refined Existence Results for Decentralized Stochastic Control.
SIAM J. Control. Optim., 2020

Robustness to Incorrect System Models in Stochastic Control.
SIAM J. Control. Optim., 2020

Signaling Games for Arbitrary Distributions: Number of Bins and Properties of Equilibria.
CoRR, 2020

Quadratic Privacy-Signaling Games, Payoff Dominant Equilibria and the Information Bottleneck Problem.
CoRR, 2020

Robustness to Incorrect Models in Average-Cost Optimal Stochastic Control.
CoRR, 2020

Dynamic signaling games with quadratic criteria under Nash and Stackelberg equilibria.
Autom., 2020

Quadratic Privacy-Signaling Games and Payoff Dominant Equilibria.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Comparison of Information Structures for Zero-Sum Games in Standard Borel Spaces.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Independently Randomized Symmetric Policies are Optimal for Exchangeable Stochastic Teams with Infinitely Many Decision Makers.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Optimality of Stationary and Deterministic Policies for Zero-Delay Coding of ℝ<sup>d</sup>-Valued Linear Markov Sources with Quadratic Cost.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Hypothesis Testing Under Subjective Priors and Costs as a Signaling Game.
IEEE Trans. Signal Process., 2019

A Note on the Separation of Optimal Quantization and Control Policies in Networked Control.
SIAM J. Control. Optim., 2019

Robustness to Incorrect Priors in Partially Observed Stochastic Control.
SIAM J. Control. Optim., 2019

Weak Feller property of non-linear filters.
Syst. Control. Lett., 2019

On the Number of Bins in Equilibria for Signaling Games.
CoRR, 2019

Stochastic stabilization of dynamical systems over communication channels.
CoRR, 2019

Stochastic stability of nonlinear dynamical systems under information constraints<sup>*</sup>.
Proceedings of the 2019 IEEE Information Theory Workshop, 2019

On the Number of Bins in Equilibria for Signaling Games.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Reinforcement Learning for Decentralized Stochastic Control.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Convex Symmetric Stochastic Dynamic Teams and Their Mean-Field Limit.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Observability and Filter Stability for Partially Observed Markov Processes.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

On Weak Feller Continuity Properties of Non-linear Filters.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Robustness to Incorrect Models in Average-Cost Optimal Stochastic Control.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Decentralized Q-Learning with Constant Aspirations in Stochastic Games.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
On Optimal Coding of Non-Linear Dynamical Systems.
IEEE Trans. Inf. Theory, 2018

Robustness to Incorrect System Models and Application to Data-Driven Learning in Stochastic Control.
CoRR, 2018

Witsenhausen's Standard Form Revisited: A General Dynamic Program for Decentralized Stochastic Control and Existence Results.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Binary Signaling under Subjective Priors and Costs as a Game.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Optimal Stochastic Teams with Infinitely Many Decision Makers and Mean-Field Teams.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Robustness to Incorrect Priors in Infinite Horizon Stochastic Control.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Robustness to Incorrect System Models in Stochastic Control and Application to Data-Driven Learning.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Two-Way Gaussian Channels with an Intelligent Jammer.
Proceedings of the 2018 Annual American Control Conference, 2018

Stability of Non-Linear Filters, Observability and Relative Entropy.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017
Optimal Power Allocation for Average Detection Probability Criterion Over Flat Fading Channels.
IEEE Trans. Signal Process., 2017

Optimal Zero Delay Coding of Markov Sources: Stationary and Finite Memory Codes.
IEEE Trans. Inf. Theory, 2017

Quadratic Multi-Dimensional Signaling Games and Affine Equilibria.
IEEE Trans. Autom. Control., 2017

Finite Model Approximations and Asymptotic Optimality of Quantized Policies in Decentralized Stochastic Control.
IEEE Trans. Autom. Control., 2017

Decentralized Q-Learning for Stochastic Teams and Games.
IEEE Trans. Autom. Control., 2017

Convex Analysis in Decentralized Stochastic Control, Strategic Measures, and Optimal Solutions.
SIAM J. Control. Optim., 2017

On Stochastic Stability of a Class of non-Markovian Processes and Applications in Quantization.
SIAM J. Control. Optim., 2017

On the Asymptotic Optimality of Finite Approximations to Markov Decision Processes with Borel Spaces.
Math. Oper. Res., 2017

Finite Model Approximations for Partially Observed Markov Decision Processes with Discounted Cost.
CoRR, 2017

Dynamic Quadratic Cheap Talk and Signaling Games.
CoRR, 2017

Stochastic stability of non-Markovian processes and adaptive quantizers.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Metric and topological entropy bounds on state estimation for stochastic non-linear systems.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Distributionally consistent price taking equilibria in stochastic dynamic games.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Nash and Stackelberg equilibria for dynamic cheap talk and signaling games.
Proceedings of the 2017 American Control Conference, 2017

2016
On Rates of Convergence for Markov Chains Under Random Time State Dependent Drift Criteria.
IEEE Trans. Autom. Control., 2016

Stationary and Ergodic Properties of Stochastic NonLinear Systems Controlled over Communication Channels.
SIAM J. Control. Optim., 2016

On the tightness of linear policies for stabilization of linear systems over Gaussian networks.
Syst. Control. Lett., 2016

Entropy bounds on state estimation for stochastic non-linear systems under information constraints.
CoRR, 2016

Perfect Bayesian Equilibria in Reputation Games with Nested Information Structure.
CoRR, 2016

Stationarity and ergodicity of stochastic non-linear systems controlled over communication channels.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Dynamic signaling games under Nash and Stackelberg equilibria.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Continuity and robustness to incorrect priors in estimation and control.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Convex analysis in decentralized stochastic control and strategic measures.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Invariance and stationarity in non-linear networked control: Deterministic and stochastic formulations.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Asymptotic optimality of finite representations and quantized policies in team problems and Witsenhausen's counterexample.
Proceedings of the 2016 American Control Conference, 2016

Strategic measures approach to decentralized stochastic control.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015
Information and Communication Complexity of Networked Control Systems.
Proceedings of the Encyclopedia of Systems and Control, 2015

Output Constrained Lossy Source Coding With Limited Common Randomness.
IEEE Trans. Inf. Theory, 2015

Randomized Quantization and Source Coding With Constrained Output Distribution.
IEEE Trans. Inf. Theory, 2015

Asymptotic Optimality and Rates of Convergence of Quantized Stationary Policies in Stochastic Control.
IEEE Trans. Autom. Control., 2015

On Games With Coupled Constraints.
IEEE Trans. Autom. Control., 2015

On the Existence of Optimal Policies for a Class of Static and Sequential Dynamic Teams.
SIAM J. Control. Optim., 2015

On Stability and Ergodicity of Stochastic Non-Linear Systems Controlled over Communication Channels.
CoRR, 2015

Asymptotic Optimality of Finite Approximations to Markov Decision Processes with General State and Action Spaces.
CoRR, 2015

Decentralized Q-Learning for Stochastic Dynamic Games.
CoRR, 2015

Optimality of Walrand-Varaiya type policies and approximation results for zero delay coding of Markov sources.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Finite-state approximation of Markov decision processes with unbounded costs and Borel spaces.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Decentralized Q-learning for weakly acyclic stochastic dynamic games.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

On multi-dimensional and noisy quadratic signaling games and affine equilibria.
Proceedings of the American Control Conference, 2015

Finite state approximations of Markov decision processes with general state and action spaces.
Proceedings of the American Control Conference, 2015

Finite-state approximations to constrained Markov decision processes with Borel spaces.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014
Unitary Precoding and Basis Dependency of MMSE Performance for Gaussian Erasure Channels.
IEEE Trans. Inf. Theory, 2014

On Optimal Zero-Delay Coding of Vector Markov Sources.
IEEE Trans. Inf. Theory, 2014

Stabilization of Linear Systems Over Gaussian Networks.
IEEE Trans. Autom. Control., 2014

Jointly Optimal LQG Quantization and Control Policies for Multi-Dimensional Systems.
IEEE Trans. Autom. Control., 2014

Stochastic Stability of Event-Triggered Anytime Control.
IEEE Trans. Autom. Control., 2014

Stochastic Stabilization of Partially Observed and Multi-Sensor Systems Driven by Unbounded Noise Under Fixed-Rate Information Constraints.
IEEE Trans. Autom. Control., 2014

Asymptotic optimality of quantized policies in stochastic control under weak continuity conditions.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Existence of optimal strategies in a class of dynamic stochastic teams.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

On the existence of optimal strategies in multi-agent stochastic teams.
Proceedings of the American Control Conference, 2014

Randomized source coding with limited common randomness.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013
On Optimal Causal Coding of Partially Observed Markov Sources in Single and Multiterminal Settings.
IEEE Trans. Inf. Theory, 2013

Memoryless Multiple Access Channel With Asymmetric Noisy State Information at the Encoders.
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

Observability of a Linear System Under Sparsity Constraints.
IEEE Trans. Autom. Control., 2013

Quantized Stationary Control Policies in Markov Decision Processes.
CoRR, 2013

On optimal policies for control and estimation over a Gaussian relay channel.
Autom., 2013

Randomized quantization and optimal design with a marginal constraint.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Static LQG teams with countably infinite players.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Approximation of stationary control policies by quantized control in Markov decision processes.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012
Characterization of Information Channels for Asymptotic Mean Stationarity and Stochastic Stability of Nonstationary/Unstable Linear Systems.
IEEE Trans. Inf. Theory, 2012

Optimization and Convergence of Observation Channels in Stochastic Control.
SIAM J. Control. Optim., 2012

Technical Report: Observability of a Linear System under Sparsity Constraints
CoRR, 2012

Characterization of Information Channels for Asymptotic Mean Stationarity and Stochastic Stability of Non-stationary/Unstable Linear Systems.
CoRR, 2012

On the Multiple Access Channel with Asymmetric Noisy State Information at the Encoders
CoRR, 2012

Average error in recovery of sparse signals and discrete fourier transform.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Multiple access channel with various degrees of asymmetric state information.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

On optimal zero-delay quantization of vector Markov sources.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Information structures in optimal decentralized control.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Stochastic stabilization of partially observed and multi-sensor systems driven by Gaussian noise under fixed-rate information constraints.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Jointly Optimal LQG quantization and control policies for multi-dimensional linear Gaussian sources.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011
Feedback Capacity of a Class of Symmetric Finite-State Markov Channels.
IEEE Trans. Inf. Theory, 2011

On the Capacity of Memoryless Finite-State Multiple-Access Channels With Asymmetric State Information at the Encoders.
IEEE Trans. Inf. Theory, 2011

Control Over Noisy Forward and Reverse Channels.
IEEE Trans. Autom. Control., 2011

Stochastic stability and ergodicity of linear Gaussian systems controlled over discrete channels.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Sufficient conditions for closed-loop control over a Gaussian relay channel.
Proceedings of the American Control Conference, 2011

On the capacity of memoryless finite-state multiple access channels with asymmetric noisy state information at the encoders.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010
Stochastic Stabilization of Noisy Linear Systems With Fixed-Rate Limited Feedback.
IEEE Trans. Autom. Control., 2010

On Optimal Causal Coding of Partially Observed Markov Sources in Single and Multi-Terminal Settings
CoRR, 2010

On optimal causal coding of partially observed Markov sources under classical and non-classical information structures.
Proceedings of the IEEE International Symposium on Information Theory, 2010

Online Convex Programming and regularization in adaptive control.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Measure and cost dependent properties of information structures.
Proceedings of the American Control Conference, 2010

On optimization and convergence of observation channels and quantizers in stochastic control.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009
The error exponent of variable-length codes over Markov channels with feedback.
IEEE Trans. Inf. Theory, 2009

A Counterexample in Distributed Optimal Sensing and Control.
IEEE Trans. Autom. Control., 2009

Stochastic Nestedness and the Belief Sharing Information Pattern.
IEEE Trans. Autom. Control., 2009

On the capacity of finite state multiple access channels with asymmetric partial state feedback.
Proceedings of the 7th International Symposium on Modeling and Optimization in Mobile, 2009

Stochastic stability of adaptive quantizers for Markov sources.
Proceedings of the IEEE International Symposium on Information Theory, 2009

Power games in MIMO interference systems.
Proceedings of the 1st International Conference on Game Theory for Networks, 2009

Stochastic nestedness and the belief sharing information pattern in decentralized control.
Proceedings of the American Control Conference, 2009

Stochastic stabilization of a noisy linear system with a fixed-rate adaptive quantizer.
Proceedings of the American Control Conference, 2009

A random time stochastic drift result and application to stochastic stabilization over noisy channels.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008
Optimal LQG Coding and Control over Communication Channels: An Existence and an Infeasibility Result.
Proceedings of the American Control Conference, 2008

Stochastic nestedness and information analysis of tractability in decentralized control.
Proceedings of the 46th Annual Allerton Conference on Communication, 2008

2007
Optimal Signaling Policies for Decentralized Multicontroller Stabilizability Over Communication Channels.
IEEE Trans. Autom. Control., 2007

Communication Constraints for Decentralized Stabilizability With Time-Invariant Policies.
IEEE Trans. Autom. Control., 2007

On the error exponent of variable-length block-coding schemes over finite-state Markov channels with feedback
CoRR, 2007

Capacity of Markov Channels with Partial State Feedback.
Proceedings of the IEEE International Symposium on Information Theory, 2007

On the Burnashev exponent for Markov channels.
Proceedings of the IEEE International Symposium on Information Theory, 2007

Information theoretic study of the signaling problem in decentralized stabilization of noisy linear systems.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
Transmission of Information in Control Systems
PhD thesis, 2006

Minimum Rate Coding for LTI Systems Over Noiseless Channels.
IEEE Trans. Autom. Control., 2006

Optimal control of LTI systems over unreliable communication links.
Autom., 2006

On Causal Coding of Markovian Sources with General Alphabets.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

Control of Multi-Dimensional Linear Systems over Noisy Forward and Reverse Channels.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

Optimal tracking with feedback-feedforward control separation over a network.
Proceedings of the American Control Conference, 2006

On the absence of rate loss in decentralized sensor and controller structure for asymptotic stability.
Proceedings of the American Control Conference, 2006

2005
Coding and Control over Discrete Noisy Forward and Feedback Channels.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004
Minimum rate coding for state estimation over noiseless channels.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

2003
Quantization and coding for decentralized LTI systems.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

Quantization for LTI systems with noiseless channels.
Proceedings of 2003 IEEE Conference on Control Applications, 2003

State estimation and control for linear systems over communication networks.
Proceedings of 2003 IEEE Conference on Control Applications, 2003


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