Prashant G. Mehta

168 papers A* 3C 36Journal 79Unranked 50

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Optimistic Training and Convergence of Q-Learning - Extended Version. CoRR Prashant G. Mehta, Sean P. Meyn
2025	A*	`conf`	A Neural Network-Based Framework for Fast and Smooth Posture Reconstruction of a Soft Continuum Arm. ICRA Tixian Wang, Heng-Sheng Chang, Seung Hyun Kim, Jiamiao Guo, Ugur Akcal, Benjamin Walt, Darren Biskup, Udit Halder, Girish Krishnan, Girish Chowdhary, Mattia Gazzola, Prashant G. Mehta
2025	—	`conf`	A Nonlinear Predictor for an HMM with Binary-valued Observations. CDC Prashant G. Mehta
2025	J	`jnl`	Belief Net: A Filter-Based Framework for Learning Hidden Markov Models from Observations. CoRR Reginald Zhiyan Chen, Heng-Sheng Chang, Prashant G. Mehta
2025	J	`jnl`	Dual Filter: A Mathematical Framework for Inference using Transformer-like Architectures. CoRR Heng-Sheng Chang, Prashant G. Mehta
2025	—	`conf`	Error Analysis of Sampling Algorithms for Approximating Stochastic Optimal Control. CDC Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta
2025	J	`jnl`	Error Analysis of Sampling Algorithms for Approximating Stochastic Optimal Control. CoRR Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta
2025	J	`jnl`	Functional Role of Synchronization: A Mean-Field Control Perspective. J. Syst. Sci. Complex. Prashant G. Mehta, Sean P. Meyn
2025	—	`conf`	Interacting Particle Systems for Fast Linear Quadratic RL. L4DC Anant A. Joshi, Heng-Sheng Chang, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
2025	J	`jnl`	Neural models and algorithms for sensorimotor control of an octopus arm. Biol. Cybern. Tixian Wang, Udit Halder, Ekaterina Gribkova, Rhanor Gillette, Mattia Gazzola, Prashant G. Mehta
2025	J	`jnl`	Simulations and experiments with assemblies of fiber-reinforced soft actuators. CoRR Seung Hyun Kim, Jiamiao Guo, Arman Tekinalp, Heng-Sheng Chang, Ugur Akcal, Tixian Wang, Darren Biskup, Benjamin Walt, Girish Chowdhary, Girish Krishnan, Prashant G. Mehta, Mattia Gazzola
2025	J	`jnl`	What can we learn from signals and systems in a transformer? Insights for probabilistic modeling and inference architecture. CoRR Heng-Sheng Chang, Prashant G. Mehta
2024	J	`jnl`	A Neural Network-based Framework for Fast and Smooth Posture Reconstruction of a Soft Continuum Arm. CoRR Tixian Wang, Heng-Sheng Chang, Seung Hyun Kim, Jiamiao Guo, Ugur Akcal, Benjamin Walt, Darren Biskup, Udit Halder, Girish Krishnan, Girish Chowdhary, Mattia Gazzola, Prashant G. Mehta
2024	—	`conf`	Backward Map for Filter Stability Analysis. CDC Jin-Won Kim, Anant A. Joshi, Prashant G. Mehta
2024	J	`jnl`	Design of Interacting Particle Systems for Fast and Efficient Reinforcement Learning. CoRR Anant A. Joshi, Heng-Sheng Chang, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
2024	—	`conf`	Dual Ensemble Kalman Filter for Stochastic Optimal Control. CDC Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
2024	J	`jnl`	Dual Ensemble Kalman Filter for Stochastic Optimal Control. CoRR Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
2024	J	`jnl`	Duality for Nonlinear Filtering I: Observability. IEEE Trans. Autom. Control. Jin-Won Kim, Prashant G. Mehta
2024	J	`jnl`	Duality for Nonlinear Filtering II: Optimal Control. IEEE Trans. Autom. Control. Jin-Won Kim, Prashant G. Mehta
2024	J	`jnl`	How to implement the Bayes' formula in the age of ML? CoRR Amirhossein Taghvaei, Prashant G. Mehta
2024	J	`jnl`	Neural Models and Algorithms for Sensorimotor Control of an Octopus Arm. CoRR Tixian Wang, Udit Halder, Ekaterina Gribkova, Rhanor Gillette, Mattia Gazzola, Prashant G. Mehta
2024	J	`jnl`	Variance Decay Property for Filter Stability. IEEE Trans. Autom. Control. Jin-Won Kim, Prashant G. Mehta
2023	J	`jnl`	A Survey of Feedback Particle Filter and related Controlled Interacting Particle Systems (CIPS). CoRR Amirhossein Taghvaei, Prashant G. Mehta
2023	J	`jnl`	A survey of feedback particle filter and related controlled interacting particle systems (CIPS). Annu. Rev. Control. Amirhossein Taghvaei, Prashant G. Mehta
2023	J	`jnl`	Hierarchical Control and Learning of a Foraging CyberOctopus. Adv. Intell. Syst. Chia-Hsien Shih, Noel M. Naughton, Udit Halder, Heng-Sheng Chang, Seung Hyun Kim, Rhanor Gillette, Prashant G. Mehta, Mattia Gazzola
2023	J	`jnl`	Hierarchical Control and Learning of a Foraging CyberOctopus. Adv. Intell. Syst. Chia-Hsien Shih, Noel M. Naughton, Udit Halder, Heng-Sheng Chang, Seung Hyun Kim, Rhanor Gillette, Prashant G. Mehta, Mattia Gazzola
2023	J	`jnl`	Hierarchical control and learning of a foraging CyberOctopus. CoRR Chia-Hsien Shih, Noel M. Naughton, Udit Halder, Heng-Sheng Chang, Seung Hyun Kim, Rhanor Gillette, Prashant G. Mehta, Mattia Gazzola
2023	J	`jnl`	Stochastic control and stability with applications: Ari Arapostathis memorial issue. Syst. Control. Lett. Vivek S. Borkar, Prashant G. Mehta, Guodong Pang, Serdar Yüksel
2023	J	`jnl`	Topology, dynamics, and control of an octopus-analog muscular hydrostat. CoRR Arman Tekinalp, Noel M. Naughton, Seung Hyun Kim, Udit Halder, Rhanor Gillette, Prashant G. Mehta, William Kier, Mattia Gazzola
2022	—	`conf`	A Sensory Feedback Control Law for Octopus Arm Movements. CDC Tixian Wang, Udit Halder, Ekaterina Gribkova, Rhanor Gillette, Mattia Gazzola, Prashant G. Mehta
2022	J	`jnl`	A Sensory Feedback Control Law for Octopus Arm Movements. CoRR Tixian Wang, Udit Halder, Ekaterina Gribkova, Rhanor Gillette, Mattia Gazzola, Prashant G. Mehta
2022	A*	`conf`	A physics-informed, vision-based method to reconstruct all deformation modes in slender bodies. ICRA Seung Hyun Kim, Heng-Sheng Chang, Chia-Hsien Shih, Naveen Kumar Uppalapati, Udit Halder, Girish Krishnan, Prashant G. Mehta, Mattia Gazzola
2022	C	`conf`	Control-oriented Modeling of Bend Propagation in an Octopus Arm. ACC Tixian Wang, Udit Halder, Ekaterina Gribkova, Mattia Gazzola, Prashant G. Mehta
2022	J	`jnl`	Controlled interacting particle algorithms for simulation-based reinforcement learning. Syst. Control. Lett. Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
2022	—	`conf`	Convex Analytic Theory for Convex Q-Learning. CDC Fan Lu, Prashant G. Mehta, Sean P. Meyn, Gergely Neu
2022	J	`jnl`	Energy Shaping Control of a Muscular Octopus Arm Moving in Three Dimensions. CoRR Heng-Sheng Chang, Udit Halder, Chia-Hsien Shih, Noel M. Naughton, Mattia Gazzola, Prashant G. Mehta
2022	—	`conf`	How does a Rational Agent Act in an Epidemic? CDC Sukru Yagiz Olmez, Shubham Aggarwal, Jin-Won Kim, Erik Miehling, Tamer Basar, Matthew West, Prashant G. Mehta
2022	J	`jnl`	How does a Rational Agent Act in an Epidemic? CoRR Sukru Yagiz Olmez, Shubham Aggarwal, Jin-Won Kim, Erik Miehling, Tamer Basar, Matthew West, Prashant G. Mehta
2022	J	`jnl`	Minimum variance constrained estimator. Autom. Prabhat Kumar Mishra, Girish Chowdhary, Prashant G. Mehta
2022	C	`conf`	Modeling Presymptomatic Spread in Epidemics via Mean-Field Games. ACC Sukru Yagiz Olmez, Shubham Aggarwal, Jin-Won Kim, Erik Miehling, Tamer Basar, Matthew West, Prashant G. Mehta
2022	J	`jnl`	Modeling the Neuromuscular Control System of an Octopus Arm. CoRR Tixian Wang, Udit Halder, Ekaterina Gribkova, Mattia Gazzola, Prashant G. Mehta
2022	J	`jnl`	On the Lyapunov Foster Criterion and Poincaré Inequality for Reversible Markov Chains. IEEE Trans. Autom. Control. Amirhossein Taghvaei, Prashant G. Mehta
2022	J	`jnl`	Sufficient Exploration for Convex Q-learning. CoRR Fan Lu, Prashant G. Mehta, Sean P. Meyn, Gergely Neu
2021	C	`conf`	A Data-Informed Approach for Analysis, Validation, and Identification of COVID-19 Models. ACC Sukru Yagiz Olmez, Jameson Mori, Erik Miehling, Tamer Basar, Rebecca L. Smith, Matthew West, Prashant G. Mehta
2021	—	`conf`	A Dual Characterization of the Stability of the Wonham Filter. CDC Jin-Won Kim, Prashant G. Mehta
2021	J	`jnl`	A physics-informed, vision-based method to reconstruct all deformation modes in slender bodies. CoRR Seung Hyun Kim, Heng-Sheng Chang, Chia-Hsien Shih, Naveen Kumar Uppalapati, Udit Halder, Girish Krishnan, Prashant G. Mehta, Mattia Gazzola
2021	J	`jnl`	An Optimal Transport Formulation of the Ensemble Kalman Filter. IEEE Trans. Autom. Control. Amirhossein Taghvaei, Prashant G. Mehta
2021	J	`jnl`	Control-oriented Modeling of Bend Propagation in an Octopus Arm. CoRR Tixian Wang, Udit Halder, Ekaterina Gribkova, Mattia Gazzola, Prashant G. Mehta
2021	—	`conf`	Controlling a CyberOctopus Soft Arm with Muscle-like Actuation. CDC Heng-Sheng Chang, Udit Halder, Ekaterina Gribkova, Arman Tekinalp, Noel M. Naughton, Mattia Gazzola, Prashant G. Mehta
2021	C	`conf`	Convex Q-Learning. ACC Fan Lu, Prashant G. Mehta, Sean P. Meyn, Gergely Neu
2021	J	`jnl`	Ensemble Kalman Filter (EnKF) for Reinforcement Learning (RL). CoRR Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta
2021	J	`jnl`	Modeling Presymptomatic Spread in Epidemics via Mean-Field Games. CoRR Sukru Yagiz Olmez, Shubham Aggarwal, Jin-Won Kim, Erik Miehling, Tamer Basar, Matthew West, Prashant G. Mehta
2021	C	`conf`	Optimal Control of a Soft CyberOctopus Arm. ACC Tixian Wang, Udit Halder, Heng-Sheng Chang, Mattia Gazzola, Prashant G. Mehta
2021	J	`jnl`	Optimal Transportation Methods in Nonlinear Filtering: The feedback particle filter. CoRR Amirhossein Taghvaei, Prashant G. Mehta
2021	—	`conf`	The Conditional Poincaré Inequality for Filter Stability. CDC Jin-Won Kim, Prashant G. Mehta, Sean P. Meyn
2020	C	`conf`	Bio-inspired Learning of Sensorimotor Control for Locomotion. ACC Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta
2020	J	`jnl`	Controlling a CyberOctopus Soft Arm with Muscle-like Actuation. CoRR Heng-Sheng Chang, Udit Halder, Ekaterina Gribkova, Arman Tekinalp, Noel M. Naughton, Mattia Gazzola, Prashant G. Mehta
2020	J	`jnl`	Convex Q-Learning, Part 1: Deterministic Optimal Control. CoRR Prashant G. Mehta, Sean P. Meyn
2020	—	`conf`	Deep FPF: Gain function approximation in high-dimensional setting. CDC Sukru Yagiz Olmez, Amirhossein Taghvaei, Prashant G. Mehta
2020	J	`jnl`	Deep FPF: Gain function approximation in high-dimensional setting. CoRR Sukru Yagiz Olmez, Amirhossein Taghvaei, Prashant G. Mehta
2020	J	`jnl`	Diffusion Map-based Algorithm for Gain Function Approximation in the Feedback Particle Filter. SIAM/ASA J. Uncertain. Quantification Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
2020	—	`conf`	Energy Shaping Control of a CyberOctopus Soft Arm. CDC Heng-Sheng Chang, Udit Halder, Chia-Hsien Shih, Arman Tekinalp, Tejaswin Parthasarathy, Ekaterina Gribkova, Girish Chowdhary, Rhanor Gillette, Mattia Gazzola, Prashant G. Mehta
2020	J	`jnl`	Energy Shaping Control of a CyberOctopus Soft Arm. CoRR Heng-Sheng Chang, Udit Halder, Chia-Hsien Shih, Arman Tekinalp, Tejaswin Parthasarathy, Ekaterina Gribkova, Girish Chowdhary, Rhanor Gillette, Mattia Gazzola, Prashant G. Mehta
2020	J	`jnl`	Optimal Control of a Soft CyberOctopus Arm. CoRR Tixian Wang, Udit Halder, Heng-Sheng Chang, Mattia Gazzola, Prashant G. Mehta
2020	J	`jnl`	Optimality vs Stability Trade-off in Ensemble Kalman Filters. CoRR Amirhossein Taghvaei, Prashant G. Mehta, Tryphon T. Georgiou
2019	J	`jnl`	A Mean-Field Optimal Control Formulation for Global Optimization. IEEE Trans. Autom. Control. Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta
2019	A*	`conf`	Accelerated Flow for Probability Distributions. ICML Amirhossein Taghvaei, Prashant G. Mehta
2019	J	`jnl`	Accelerated Flow for Probability Distributions. CoRR Amirhossein Taghvaei, Prashant G. Mehta
2019	C	`conf`	An Approach to Duality in Nonlinear Filtering. ACC Jin-Won Kim, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
2019	J	`jnl`	An Optimal Transport Formulation of the Ensemble Kalman Filter. CoRR Amirhossein Taghvaei, Prashant G. Mehta
2019	J	`jnl`	Bio-inspired Learning of Sensorimotor Control for Locomotion. CoRR Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta
2019	J	`jnl`	Gain function approximation in the Feedback Particle Filter. CoRR Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
2019	—	`conf`	Q-learning for POMDP: An application to learning locomotion gaits. CDC Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta
2019	J	`jnl`	Q-learning for POMDP: An application to learning locomotion gaits. CoRR Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta
2019	—	`conf`	Quasi-Stochastic Approximation and Off-Policy Reinforcement Learning. CDC Andrey Bernstein, Yue Chen, Marcello Colombino, Emiliano Dall'Anese, Prashant G. Mehta, Sean P. Meyn
2019	—	`conf`	What is the Lagrangian for Nonlinear Filtering? CDC Jin-Won Kim, Prashant G. Mehta, Sean P. Meyn
2018	—	`conf`	Derivation and Extensions of the Linear Feedback Particle Filter Based on Duality Formalisms. CDC Jin-Won Kim, Amirhossein Taghvaei, Prashant G. Mehta
2018	C	`conf`	Error Analysis for the Linear Feedback Particle Filter. ACC Amirhossein Taghvaei, Prashant G. Mehta
2018	—	`conf`	Error Analysis of the Stochastic Linear Feedback Particle Filter. CDC Amirhossein Taghvaei, Prashant G. Mehta
2018	J	`jnl`	Error Analysis of the Stochastic Linear Feedback Particle Filter. CoRR Amirhossein Taghvaei, Prashant G. Mehta
2018	J	`jnl`	Feedback Particle Filter on Riemannian Manifolds and Matrix Lie Groups. IEEE Trans. Autom. Control. Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta
2017	C	`conf`	Attitude estimation of a wearable motion sensor. ACC Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta
2017	C	`conf`	Error estimates for the kernel gain function approximation in the feedback particle filter. ACC Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
2017	—	`conf`	How regularization affects the critical points in linear networks. NIPS Amirhossein Taghvaei, Jin-Won Kim, Prashant G. Mehta
2017	J	`jnl`	How regularization affects the critical points in linear networks. CoRR Amirhossein Taghvaei, Jin-Won Kim, Prashant G. Mehta
2017	J	`jnl`	Kalman Filter and its Modern Extensions for the Continuous-time Nonlinear Filtering Problem. CoRR Amirhossein Taghvaei, Jana de Wiljes, Prashant G. Mehta, Sebastian Reich
2016	C	`conf`	An optimal transport formulation of the linear feedback particle filter. ACC Amirhossein Taghvaei, Prashant G. Mehta
2016	—	`conf`	Attitude estimation with feedback particle filter. CDC Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta
2016	J	`jnl`	Feedback Particle Filter for a Continuous-Time Markov Chain. IEEE Trans. Autom. Control. Tao Yang, Prashant G. Mehta, Sean P. Meyn
2016	C	`conf`	Feedback particle filter on matrix lie groups. ACC Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta
2016	—	`conf`	Gain function approximation in the feedback particle filter. CDC Amirhossein Taghvaei, Prashant G. Mehta
2016	J	`jnl`	Multivariable feedback particle filter. Autom. Tao Yang, Richard S. Laugesen, Prashant G. Mehta, Sean P. Meyn
2015	C	`conf`	A comparative study of cooperative localization techniques for sensor networks. ACC Chi Zhang, Prashant G. Mehta
2015	J	`jnl`	Model Predictive Control of Central Chiller Plant With Thermal Energy Storage Via Dynamic Programming and Mixed-Integer Linear Programming. IEEE Trans Autom. Sci. Eng. Kun Deng, Yu Sun, Sisi Li, Yan Lu, Jack Brouwer, Prashant G. Mehta, MengChu Zhou, Amit Chakraborty
2015	J	`jnl`	Poisson's Equation in Nonlinear Filtering. SIAM J. Control. Optim. Richard S. Laugesen, Prashant G. Mehta, Sean P. Meyn, Maxim Raginsky
2014	—	`conf`	A coupled oscillators-based control architecture for locomotory gaits. CDC Amirhossein Taghvaei, Seth Hutchinson, Prashant G. Mehta
2014	C	`conf`	Control with rhythms: A CPG architecture for pumping a swing. ACC Adam K. Tilton, Prashant G. Mehta
2014	J	`jnl`	Learning in Mean-Field Games. IEEE Trans. Autom. Control. Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday V. Shanbhag
2014	J	`jnl`	On the Efficiency of Equilibria in Mean-Field Oscillator Games. Dyn. Games Appl. Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday V. Shanbhag
2014	—	`conf`	Poisson's equation in nonlinear filtering. CDC Richard S. Laugesen, Prashant G. Mehta, Sean P. Meyn, Maxim Raginsky
2014	J	`jnl`	Probabilistic Data Association-Feedback Particle Filter for Multiple Target Tracking Applications. CoRR Tao Yang, Prashant G. Mehta
2014	J	`jnl`	Structure-preserving model reduction of nonlinear building thermal models. Autom. Kun Deng, Siddharth Goyal, Prabir Barooah, Prashant G. Mehta
2014	C	`conf`	The continuous-discrete time feedback particle filter. ACC Tao Yang, Henk A. P. Blom, Prashant G. Mehta
2013	C	`conf`	A comparative study of nonlinear filtering techniques. FUSION Adam K. Tilton, Shane Ghiotto, Prashant G. Mehta
2013	—	`conf`	A feedback particle filter-based approach to optimal control with partial observations. CDC Prashant G. Mehta, Sean P. Meyn
2013	J	`jnl`	Approximate dynamic programming using fluid and diffusion approximations with applications to power management. CoRR Wei Chen, Dayu Huang, Ankur A. Kulkarni, Jayakrishnan Unnikrishnan, Quanyan Zhu, Prashant G. Mehta, Sean P. Meyn, Adam Wierman
2013	J	`jnl`	Feedback Particle Filter. IEEE Trans. Autom. Control. Tao Yang, Prashant G. Mehta, Sean P. Meyn
2013	C	`conf`	Feedback particle filter for a continuous-time Markov chain. ACC Tao Yang, Prashant G. Mehta, Sean P. Meyn
2013	—	`conf`	Interacting multiple model-feedback particle filter for stochastic hybrid systems. CDC Tao Yang, Henk A. P. Blom, Prashant G. Mehta
2013	C	`conf`	Multi-dimensional feedback particle filter for coupled oscillators. ACC Adam K. Tilton, Prashant G. Mehta, Sean P. Meyn
2013	C	`conf`	Optimal scheduling of chiller plant with thermal energy storage using mixed integer linear programming. ACC Kun Deng, Yu Sun, Amit Chakraborty, Yan Lu, Jack Brouwer, Prashant G. Mehta
2012	C	`conf`	Convergence rate for distributed optimization methods: Novel bounds and distributed step size computation. ACC Yu Sun, Alberto Speranzon, Prashant G. Mehta
2012	C	`conf`	Feedback particle filter-based multiple target tracking using bearing-only measurements. FUSION Adam K. Tilton, Tao Yang, Huibing Yin, Prashant G. Mehta
2012	C	`conf`	Filtering with rhythms: Application to estimation of gait cycle. ACC Adam K. Tilton, Elizabeth T. Hsiao-Wecksler, Prashant G. Mehta
2012	J	`jnl`	Invariant Density Analysis: Modeling and Analysis of the Postural Control System Using Markov Chains. IEEE Trans. Biomed. Eng. Pilwon Hur, K. Alex Shorter, Prashant G. Mehta, Elizabeth T. Hsiao-Wecksler
2012	C	`conf`	Joint probabilistic data association-feedback particle filter for multiple target tracking applications. ACC Tao Yang, Geng Huang, Prashant G. Mehta
2012	C	`conf`	Mean-field control for energy efficient buildings. ACC Kun Deng, Prabir Barooah, Prashant G. Mehta
2012	—	`conf`	Multivariable feedback particle filter. CDC Tao Yang, Richard S. Laugesen, Prashant G. Mehta, Sean P. Meyn
2012	J	`jnl`	Synchronization of Coupled Oscillators is a Game. IEEE Trans. Autom. Control. Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday V. Shanbhag
2011	C	`conf`	A mean-field control-oriented approach to particle filtering. ACC Tao Yang, Prashant G. Mehta, Sean P. Meyn
2011	—	`conf`	A recursive learning algorithm for model reduction of Hidden Markov Models. CDC/ECC Kun Deng, Prashant G. Mehta, Sean P. Meyn, Mathukumalli Vidyasagar
2011	—	`conf`	Bifurcation analysis of a heterogeneous mean-field oscillator game model. CDC/ECC Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday V. Shanbhag
2011	—	`conf`	Feedback particle filter with mean-field coupling. CDC/ECC Tao Yang, Prashant G. Mehta, Sean P. Meyn
2011	J	`jnl`	Nash Equilibrium Problems With Scaled Congestion Costs and Shared Constraints. IEEE Trans. Autom. Control. Huibing Yin, Uday V. Shanbhag, Prashant G. Mehta
2011	C	`conf`	On the efficiency of equilibria in mean-field oscillator games. ACC Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday V. Shanbhag
2011	J	`jnl`	Optimal Kullback-Leibler Aggregation via Spectral Theory of Markov Chains. IEEE Trans. Autom. Control. Kun Deng, Prashant G. Mehta, Sean P. Meyn
2011	J	`jnl`	Stability Margin Scaling Laws for Distributed Formation Control as a Function of Network Structure. IEEE Trans. Autom. Control. He Hao, Prabir Barooah, Prashant G. Mehta
2010	—	`conf`	Aggregation-based model reduction of a Hidden Markov Model. CDC Kun Deng, Prashant G. Mehta, Sean P. Meyn
2010	J	`jnl`	Bode-Like Fundamental Performance Limitations in Control of Nonlinear Systems. IEEE Trans. Autom. Control. Yu Sun, Prashant G. Mehta
2010	C	`conf`	Building thermal model reduction via aggregation of states. ACC Kun Deng, Prabir Barooah, Prashant G. Mehta, Sean P. Meyn
2010	—	`conf`	Fundamental performance limitations with Kullback-Leibler control cost. CDC Yu Sun, Prashant G. Mehta
2010	—	`conf`	Learning in mean-field oscillator games. CDC Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday V. Shanbhag
2010	J	`jnl`	Nonlinear Stabilization via Control Lyapunov Measure. IEEE Trans. Autom. Control. Umesh Vaidya, Prashant G. Mehta, Uday V. Shanbhag
2010	C	`conf`	Synchronization of coupled oscillators is a game. ACC Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday V. Shanbhag
2010	J	`jnl`	The Kullback-Leibler Rate Pseudo-Metric for Comparing Dynamical Systems. IEEE Trans. Autom. Control. Yu Sun, Prashant G. Mehta
2009	—	`conf`	A simulation-based method for aggregating Markov chains. CDC Kun Deng, Prashant G. Mehta, Sean P. Meyn
2009	C	`conf`	An information-theoretic framework to aggregate a Markov chain. ACC Kun Deng, Yu Sun, Prashant G. Mehta, Sean P. Meyn
2009	—	`conf`	Approximate dynamic programming using fluid and diffusion approximations with applications to power management. CDC Wei Chen, Dayu Huang, Ankur A. Kulkarni, Jayakrishnan Unnikrishnan, Quanyan Zhu, Prashant G. Mehta, Sean P. Meyn, Adam Wierman
2009	C	`conf`	Bifurcation analysis of a thalamic relay neuron model. ACC Huibing Yin, Charles L. Cox, Prashant G. Mehta, Uday V. Shanbhag
2009	J	`jnl`	Hopf bifurcation and oscillations in a communication network with heterogeneous delays. Autom. Huibing Yin, Paul Wang, Tansu Alpcan, Prashant G. Mehta
2009	J	`jnl`	Mistuning-Based Control Design to Improve Closed-Loop Stability Margin of Vehicular Platoons. IEEE Trans. Autom. Control. Prabir Barooah, Prashant G. Mehta, João P. Hespanha
2009	—	`conf`	Nash equilibrium problems with congestion costs and shared constraints. CDC Huibing Yin, Uday V. Shanbhag, Prashant G. Mehta
2009	—	`conf`	Optimal mistuning for improved stability of vehicular platoons. CDC Prabir Barooah, Prashant G. Mehta
2009	—	`conf`	Q-learning and Pontryagin's Minimum Principle. CDC Prashant G. Mehta, Sean P. Meyn
2009	—	`conf`	The Kullback-Leibler rate metric for comparing dynamical systems. CDC Yu Sun, Prashant G. Mehta
2008	J	`jnl`	A non-equilibrium analysis and control framework for active queue management. Autom. Tansu Alpcan, Paul Wang, Prashant G. Mehta, Tamer Basar
2008	C	`conf`	Belief propagation in feedback systems: Connections to bode and observability. ACC Yu Sun, Prashant G. Mehta, Sean P. Meyn
2008	J	`jnl`	Lyapunov Measure for Almost Everywhere Stability. IEEE Trans. Autom. Control. Umesh Vaidya, Prashant G. Mehta
2008	J	`jnl`	Markov Chains, Entropy, and Fundamental Limitations in Nonlinear Stabilization. IEEE Trans. Autom. Control. Prashant G. Mehta, Umesh Vaidya, Andrzej Banaszuk
2008	C	`conf`	Model reduction for reduced order estimation in traffic models. ACC Joseph S. Niedbalski, Kun Deng, Prashant G. Mehta, Sean P. Meyn
2008	—	`conf`	Resource pooling for optimal evacuation of a large building. CDC Kun Deng, Wei Chen, Prashant G. Mehta, Sean P. Meyn
2007	C	`conf`	Control of Large Vehicular Platoons: Improving Closed Loop Stability by Mistuning. ACC Prabir Barooah, Prashant G. Mehta, João Pedro Hespanha
2007	—	`conf`	Fundamental performance limitations via entropy estimates with hidden Markov models. CDC Yu Sun, Prashant G. Mehta
2007	—	`conf`	Nonlinear stabilization via control-Lyapunov measure. CDC Umesh Vaidya, Prashant G. Mehta, Uday V. Shanbhag
2007	C	`conf`	Simulation and Estimation of Traffic Dynamics on a Graph. ACC Joseph S. Niedbalski, Prashant G. Mehta
2007	J	`jnl`	Symmetry and Symmetry-Breaking for a Wave Equation with Feedback. SIAM J. Appl. Dyn. Syst. Prashant G. Mehta, Gregory Hagen, Andrzej Banaszuk
2006	—	`conf`	Computation of Lyapunov measure for almost everywhere stability. CDC Umesh Vaidya, Prashant G. Mehta
2006	—	`conf`	Control of Non-Equilibrium Dynamics in Communication Networks. CDC Tansu Alpcan, Prashant G. Mehta, Tamer Basar, Umesh Vaidya
2006	C	`conf`	Graph based multi-scale analysis of building system transport models. ACC Prashant G. Mehta, Mihai Dorobantu, Andrzej Banaszuk
2006	J	`jnl`	Limits of achievable performance of controlled combustion processes. IEEE Trans. Control. Syst. Technol. Andrzej Banaszuk, Prashant G. Mehta, Clas A. Jacobson, Alexander I. Khibnik
2006	—	`conf`	Markov Chains, Entropy, and Fundamental Limitations in Nonlinear Stabilization. CDC Prashant G. Mehta, Umesh Vaidya, Andrzej Banaszuk
2005	—	`conf`	On Stochastic Analysis Approaches for Comparing Complex Systems. CDC/ECC Prashant G. Mehta, Umesh Vaidya
2004	C	`conf`	Distributed control-oriented modeling of thermoacoustic dynamics in a duct. ACC Prashant G. Mehta, Marios C. Soteriou, Andrzej Banaszuk
2004	—	`conf`	Spectral balance: a frequency domain framework for analysis of nonlinear dynamical systems. CDC Andrzej Banaszuk, Prashant G. Mehta, Igor Mezic
2003	—	`conf`	A linear model for control of thermoacoustic instabilities on annular domain. CDC Andrzej Banaszuk, Prashant G. Mehta, Gregory Hagen, Jesper Oppelstrup
2003	—	`conf`	Fuel control of a ducted bluffbody flame. CDC Prashant G. Mehta, Marios C. Soteriou, Andrzej Banaszuk, Igor Mezic
2003	—	`conf`	On steady solutions of a PDE model of compressor stall. CDC Gregory Hagen, Prashant G. Mehta
2001	—	`conf`	On the identification of a nonlinear function in a feedback loop. CDC Prashant G. Mehta, Andrzej Banaszuk