On the identification of a nonlinear function in a feedback loop. - Prashant G. Mehta; Andrzej Banaszuk (CDC, 2001)

A linear model for control of thermoacoustic instabilities on annular domain. - Andrzej Banaszuk; Prashant G. Mehta; Gregory Hagen; Jesper Oppelstrup (CDC, 2003)

On steady solutions of a PDE model of compressor stall. - Gregory Hagen; Prashant G. Mehta (CDC, 2003)

Fuel control of a ducted bluffbody flame. - Prashant G. Mehta; Marios C. Soteriou; Andrzej Banaszuk; Igor Mezic (CDC, 2003)

Distributed control-oriented modeling of thermoacoustic dynamics in a duct. - Prashant G. Mehta; Marios C. Soteriou; Andrzej Banaszuk (ACC, 2004)

Spectral balance: a frequency domain framework for analysis of nonlinear dynamical systems. - Andrzej Banaszuk; Prashant G. Mehta; Igor Mezic (CDC, 2004)

On Stochastic Analysis Approaches for Comparing Complex Systems. - Prashant G. Mehta; Umesh Vaidya (CDC/ECC, 2005)

Graph based multi-scale analysis of building system transport models. - Prashant G. Mehta; Mihai Dorobantu; Andrzej Banaszuk (ACC, 2006)

Control of Non-Equilibrium Dynamics in Communication Networks. - Tansu Alpcan; Prashant G. Mehta; Tamer Basar; Umesh Vaidya (CDC, 2006)

Computation of Lyapunov measure for almost everywhere stability. - Umesh Vaidya; Prashant G. Mehta (CDC, 2006)

Limits of achievable performance of controlled combustion processes. - Andrzej Banaszuk; Prashant G. Mehta; Clas A. Jacobson; Alexander I. Khibnik (IEEE Trans. Control. Syst. Technol., 2006)

Control of Large Vehicular Platoons: Improving Closed Loop Stability by Mistuning. - Prabir Barooah; Prashant G. Mehta; João Pedro Hespanha (ACC, 2007)

Simulation and Estimation of Traffic Dynamics on a Graph. - Joseph S. Niedbalski; Prashant G. Mehta (ACC, 2007)

Fundamental performance limitations via entropy estimates with hidden Markov models. - Yu Sun 024; Prashant G. Mehta (CDC, 2007)

Symmetry and Symmetry-Breaking for a Wave Equation with Feedback. - Prashant G. Mehta; Gregory Hagen; Andrzej Banaszuk (SIAM J. Appl. Dyn. Syst., 2007)

Model reduction for reduced order estimation in traffic models. - Joseph S. Niedbalski; Kun Deng; Prashant G. Mehta; Sean P. Meyn (ACC, 2008)

Belief propagation in feedback systems: Connections to bode and observability. - Yu Sun 024; Prashant G. Mehta; Sean P. Meyn (ACC, 2008)

Resource pooling for optimal evacuation of a large building. - Kun Deng; Wei Chen 020; Prashant G. Mehta; Sean P. Meyn (CDC, 2008)

A non-equilibrium analysis and control framework for active queue management. - Tansu Alpcan; Paul Wang; Prashant G. Mehta; Tamer Basar (Autom., 2008)

Markov Chains, Entropy, and Fundamental Limitations in Nonlinear Stabilization. - Prashant G. Mehta; Umesh Vaidya; Andrzej Banaszuk (IEEE Trans. Autom. Control., 2008)

Lyapunov Measure for Almost Everywhere Stability. - Umesh Vaidya; Prashant G. Mehta (IEEE Trans. Autom. Control., 2008)

An information-theoretic framework to aggregate a Markov chain. - Kun Deng; Yu Sun 024; Prashant G. Mehta; Sean P. Meyn (ACC, 2009)

Bifurcation analysis of a thalamic relay neuron model. - Huibing Yin; Charles L. Cox; Prashant G. Mehta; Uday V. Shanbhag (ACC, 2009)

Optimal mistuning for improved stability of vehicular platoons. - Prabir Barooah; Prashant G. Mehta (CDC, 2009)

Approximate dynamic programming using fluid and diffusion approximations with applications to power management. - Wei Chen 020; Dayu Huang; Ankur A. Kulkarni; Jayakrishnan Unnikrishnan; Quanyan Zhu; Prashant G. Mehta; Sean P. Meyn; Adam Wierman (CDC, 2009)

A simulation-based method for aggregating Markov chains. - Kun Deng; Prashant G. Mehta; Sean P. Meyn (CDC, 2009)

Q-learning and Pontryagin's Minimum Principle. - Prashant G. Mehta; Sean P. Meyn (CDC, 2009)

Nash equilibrium problems with congestion costs and shared constraints. - Huibing Yin; Uday V. Shanbhag; Prashant G. Mehta (CDC, 2009)

The Kullback-Leibler rate metric for comparing dynamical systems. - Yu Sun 024; Prashant G. Mehta (CDC, 2009)

Hopf bifurcation and oscillations in a communication network with heterogeneous delays. - Huibing Yin; Paul Wang; Tansu Alpcan; Prashant G. Mehta (Autom., 2009)

Mistuning-Based Control Design to Improve Closed-Loop Stability Margin of Vehicular Platoons. - Prabir Barooah; Prashant G. Mehta; João P. Hespanha 001 (IEEE Trans. Autom. Control., 2009)

Building thermal model reduction via aggregation of states. - Kun Deng; Prabir Barooah; Prashant G. Mehta; Sean P. Meyn (ACC, 2010)

Aggregation-based model reduction of a Hidden Markov Model. - Kun Deng; Prashant G. Mehta; Sean P. Meyn (CDC, 2010)

Learning in mean-field oscillator games. - Huibing Yin; Prashant G. Mehta; Sean P. Meyn; Uday V. Shanbhag (CDC, 2010)

Fundamental performance limitations with Kullback-Leibler control cost. - Yu Sun 024; Prashant G. Mehta (CDC, 2010)

Nonlinear Stabilization via Control Lyapunov Measure. - Umesh Vaidya; Prashant G. Mehta; Uday V. Shanbhag (IEEE Trans. Autom. Control., 2010)

Bode-Like Fundamental Performance Limitations in Control of Nonlinear Systems. - Yu Sun 024; Prashant G. Mehta (IEEE Trans. Autom. Control., 2010)

The Kullback-Leibler Rate Pseudo-Metric for Comparing Dynamical Systems. - Yu Sun 024; Prashant G. Mehta (IEEE Trans. Autom. Control., 2010)

A mean-field control-oriented approach to particle filtering. - Tao Yang 017; Prashant G. Mehta; Sean P. Meyn (ACC, 2011)

A recursive learning algorithm for model reduction of Hidden Markov Models. - Kun Deng; Prashant G. Mehta; Sean P. Meyn; Mathukumalli Vidyasagar (CDC/ECC, 2011)

Feedback particle filter with mean-field coupling. - Tao Yang 017; Prashant G. Mehta; Sean P. Meyn (CDC/ECC, 2011)

Bifurcation analysis of a heterogeneous mean-field oscillator game model. - Huibing Yin; Prashant G. Mehta; Sean P. Meyn; Uday V. Shanbhag (CDC/ECC, 2011)

Optimal Kullback-Leibler Aggregation via Spectral Theory of Markov Chains. - Kun Deng; Prashant G. Mehta; Sean P. Meyn (IEEE Trans. Autom. Control., 2011)

Stability Margin Scaling Laws for Distributed Formation Control as a Function of Network Structure. - He Hao 001; Prabir Barooah; Prashant G. Mehta (IEEE Trans. Autom. Control., 2011)

Nash Equilibrium Problems With Scaled Congestion Costs and Shared Constraints. - Huibing Yin; Uday V. Shanbhag; Prashant G. Mehta (IEEE Trans. Autom. Control., 2011)

Mean-field control for energy efficient buildings. - Kun Deng; Prabir Barooah; Prashant G. Mehta (ACC, 2012)

Convergence rate for distributed optimization methods: Novel bounds and distributed step size computation. - Yu Sun 024; Alberto Speranzon; Prashant G. Mehta (ACC, 2012)

Filtering with rhythms: Application to estimation of gait cycle. - Adam K. Tilton; Elizabeth T. Hsiao-Wecksler; Prashant G. Mehta (ACC, 2012)

Joint probabilistic data association-feedback particle filter for multiple target tracking applications. - Tao Yang 017; Geng Huang; Prashant G. Mehta (ACC, 2012)

Feedback particle filter-based multiple target tracking using bearing-only measurements. - Adam K. Tilton; Tao Yang 017; Huibing Yin; Prashant G. Mehta (FUSION, 2012)

Synchronization of Coupled Oscillators is a Game. - Huibing Yin; Prashant G. Mehta; Sean P. Meyn; Uday V. Shanbhag (IEEE Trans. Autom. Control., 2012)

Invariant Density Analysis: Modeling and Analysis of the Postural Control System Using Markov Chains. - Pilwon Hur; K. Alex Shorter; Prashant G. Mehta; Elizabeth T. Hsiao-Wecksler (IEEE Trans. Biomed. Eng., 2012)

Optimal scheduling of chiller plant with thermal energy storage using mixed integer linear programming. - Kun Deng; Yu Sun 025; Amit Chakraborty; Yan Lu; Jack Brouwer; Prashant G. Mehta (ACC, 2013)

Multi-dimensional feedback particle filter for coupled oscillators. - Adam K. Tilton; Prashant G. Mehta; Sean P. Meyn (ACC, 2013)

A feedback particle filter-based approach to optimal control with partial observations. - Prashant G. Mehta; Sean P. Meyn (CDC, 2013)

Interacting multiple model-feedback particle filter for stochastic hybrid systems. - Tao Yang 017; Henk A. P. Blom; Prashant G. Mehta (CDC, 2013)

A comparative study of nonlinear filtering techniques. - Adam K. Tilton; Shane Ghiotto; Prashant G. Mehta (FUSION, 2013)

Feedback Particle Filter. - Tao Yang 017; Prashant G. Mehta; Sean P. Meyn (IEEE Trans. Autom. Control., 2013)

Control with rhythms: A CPG architecture for pumping a swing. - Adam K. Tilton; Prashant G. Mehta (ACC, 2014)

The continuous-discrete time feedback particle filter. - Tao Yang 017; Henk A. P. Blom; Prashant G. Mehta (ACC, 2014)

A coupled oscillators-based control architecture for locomotory gaits. - Amirhossein Taghvaei; Seth Hutchinson 001; Prashant G. Mehta (CDC, 2014)

Structure-preserving model reduction of nonlinear building thermal models. - Kun Deng; Siddharth Goyal; Prabir Barooah; Prashant G. Mehta (Autom., 2014)

Probabilistic Data Association-Feedback Particle Filter for Multiple Target Tracking Applications. - Tao Yang 017; Prashant G. Mehta (CoRR, 2014)

On the Efficiency of Equilibria in Mean-Field Oscillator Games. - Huibing Yin; Prashant G. Mehta; Sean P. Meyn; Uday V. Shanbhag (Dyn. Games Appl., 2014)

Learning in Mean-Field Games. - Huibing Yin; Prashant G. Mehta; Sean P. Meyn; Uday V. Shanbhag (IEEE Trans. Autom. Control., 2014)

A comparative study of cooperative localization techniques for sensor networks. - Chi Zhang 009; Prashant G. Mehta (ACC, 2015)

Poisson's Equation in Nonlinear Filtering. - Richard S. Laugesen; Prashant G. Mehta; Sean P. Meyn; Maxim Raginsky (SIAM J. Control. Optim., 2015)

Model Predictive Control of Central Chiller Plant With Thermal Energy Storage Via Dynamic Programming and Mixed-Integer Linear Programming. - Kun Deng; Yu Sun 025; Sisi Li; Yan Lu; Jack Brouwer; Prashant G. Mehta; MengChu Zhou; Amit Chakraborty (IEEE Trans Autom. Sci. Eng., 2015)

An optimal transport formulation of the linear feedback particle filter. - Amirhossein Taghvaei; Prashant G. Mehta (ACC, 2016)

Feedback particle filter on matrix lie groups. - Chi Zhang 009; Amirhossein Taghvaei; Prashant G. Mehta (ACC, 2016)

Gain function approximation in the feedback particle filter. - Amirhossein Taghvaei; Prashant G. Mehta (CDC, 2016)

Attitude estimation with feedback particle filter. - Chi Zhang 009; Amirhossein Taghvaei; Prashant G. Mehta (CDC, 2016)

Multivariable feedback particle filter. - Tao Yang 017; Richard S. Laugesen; Prashant G. Mehta; Sean P. Meyn (Autom., 2016)

Feedback Particle Filter for a Continuous-Time Markov Chain. - Tao Yang 017; Prashant G. Mehta; Sean P. Meyn (IEEE Trans. Autom. Control., 2016)

Error estimates for the kernel gain function approximation in the feedback particle filter. - Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (ACC, 2017)

Attitude estimation of a wearable motion sensor. - Chi Zhang 009; Amirhossein Taghvaei; Prashant G. Mehta (ACC, 2017)

How regularization affects the critical points in linear networks. - Amirhossein Taghvaei; Jin-Won Kim; Prashant G. Mehta (NIPS, 2017)

Kalman Filter and its Modern Extensions for the Continuous-time Nonlinear Filtering Problem. - Amirhossein Taghvaei; Jana de Wiljes; Prashant G. Mehta; Sebastian Reich (CoRR, 2017)

Error Analysis for the Linear Feedback Particle Filter. - Amirhossein Taghvaei; Prashant G. Mehta (ACC, 2018)

Derivation and Extensions of the Linear Feedback Particle Filter Based on Duality Formalisms. - Jin-Won Kim; Amirhossein Taghvaei; Prashant G. Mehta (CDC, 2018)

Error Analysis of the Stochastic Linear Feedback Particle Filter. - Amirhossein Taghvaei; Prashant G. Mehta (CDC, 2018)

Feedback Particle Filter on Riemannian Manifolds and Matrix Lie Groups. - Chi Zhang 009; Amirhossein Taghvaei; Prashant G. Mehta (IEEE Trans. Autom. Control., 2018)

An Approach to Duality in Nonlinear Filtering. - Jin-Won Kim; Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (ACC, 2019)

Quasi-Stochastic Approximation and Off-Policy Reinforcement Learning. - Andrey Bernstein; Yue Chen; Marcello Colombino; Emiliano Dall'Anese; Prashant G. Mehta; Sean P. Meyn (CDC, 2019)

What is the Lagrangian for Nonlinear Filtering? - Jin-Won Kim; Prashant G. Mehta; Sean P. Meyn (CDC, 2019)

Q-learning for POMDP: An application to learning locomotion gaits. - Tixian Wang; Amirhossein Taghvaei; Prashant G. Mehta (CDC, 2019)

Accelerated Flow for Probability Distributions. - Amirhossein Taghvaei; Prashant G. Mehta (ICML, 2019)

Gain function approximation in the Feedback Particle Filter. - Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (CoRR, 2019)

A Mean-Field Optimal Control Formulation for Global Optimization. - Chi Zhang 009; Amirhossein Taghvaei; Prashant G. Mehta (IEEE Trans. Autom. Control., 2019)

Bio-inspired Learning of Sensorimotor Control for Locomotion. - Tixian Wang; Amirhossein Taghvaei; Prashant G. Mehta (ACC, 2020)

Energy Shaping Control of a CyberOctopus Soft Arm. - Heng-Sheng Chang; Udit Halder; Chia-Hsien Shih; Arman Tekinalp; Tejaswin Parthasarathy; Ekaterina Gribkova; Girish Chowdhary 001; Rhanor Gillette; Mattia Gazzola; Prashant G. Mehta (CDC, 2020)

Deep FPF: Gain function approximation in high-dimensional setting. - Sukru Yagiz Olmez; Amirhossein Taghvaei; Prashant G. Mehta (CDC, 2020)

Convex Q-Learning, Part 1: Deterministic Optimal Control. - Prashant G. Mehta; Sean P. Meyn (CoRR, 2020)

Optimality vs Stability Trade-off in Ensemble Kalman Filters. - Amirhossein Taghvaei; Prashant G. Mehta; Tryphon T. Georgiou (CoRR, 2020)

Diffusion Map-based Algorithm for Gain Function Approximation in the Feedback Particle Filter. - Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (SIAM/ASA J. Uncertain. Quantification, 2020)

Convex Q-Learning. - Fan Lu; Prashant G. Mehta; Sean P. Meyn; Gergely Neu (ACC, 2021)

A Data-Informed Approach for Analysis, Validation, and Identification of COVID-19 Models. - Sukru Yagiz Olmez; Jameson Mori; Erik Miehling; Tamer Basar; Rebecca L. Smith; Matthew West 001; Prashant G. Mehta (ACC, 2021)

Optimal Control of a Soft CyberOctopus Arm. - Tixian Wang; Udit Halder; Heng-Sheng Chang; Mattia Gazzola; Prashant G. Mehta (ACC, 2021)

Controlling a CyberOctopus Soft Arm with Muscle-like Actuation. - Heng-Sheng Chang; Udit Halder; Ekaterina Gribkova; Arman Tekinalp; Noel M. Naughton; Mattia Gazzola; Prashant G. Mehta (CDC, 2021)

A Dual Characterization of the Stability of the Wonham Filter. - Jin-Won Kim; Prashant G. Mehta (CDC, 2021)

The Conditional Poincaré Inequality for Filter Stability. - Jin-Won Kim; Prashant G. Mehta; Sean P. Meyn (CDC, 2021)

Optimal Transportation Methods in Nonlinear Filtering: The feedback particle filter. - Amirhossein Taghvaei; Prashant G. Mehta (CoRR, 2021)

Ensemble Kalman Filter (EnKF) for Reinforcement Learning (RL). - Anant A. Joshi; Amirhossein Taghvaei; Prashant G. Mehta (CoRR, 2021)

An Optimal Transport Formulation of the Ensemble Kalman Filter. - Amirhossein Taghvaei; Prashant G. Mehta (IEEE Trans. Autom. Control., 2021)

Modeling Presymptomatic Spread in Epidemics via Mean-Field Games. - Sukru Yagiz Olmez; Shubham Aggarwal; Jin-Won Kim; Erik Miehling; Tamer Basar; Matthew West 001; Prashant G. Mehta (ACC, 2022)

Control-oriented Modeling of Bend Propagation in an Octopus Arm. - Tixian Wang; Udit Halder; Ekaterina Gribkova; Mattia Gazzola; Prashant G. Mehta (ACC, 2022)

Convex Analytic Theory for Convex Q-Learning. - Fan Lu; Prashant G. Mehta; Sean P. Meyn; Gergely Neu (CDC, 2022)

How does a Rational Agent Act in an Epidemic? - Sukru Yagiz Olmez; Shubham Aggarwal; Jin-Won Kim; Erik Miehling; Tamer Basar; Matthew West 001; Prashant G. Mehta (CDC, 2022)

A Sensory Feedback Control Law for Octopus Arm Movements. - Tixian Wang; Udit Halder; Ekaterina Gribkova; Rhanor Gillette; Mattia Gazzola; Prashant G. Mehta (CDC, 2022)

A physics-informed, vision-based method to reconstruct all deformation modes in slender bodies. - Seung Hyun Kim; Heng-Sheng Chang; Chia-Hsien Shih; Naveen Kumar Uppalapati; Udit Halder; Girish Krishnan; Prashant G. Mehta; Mattia Gazzola (ICRA, 2022)

Minimum variance constrained estimator. - Prabhat Kumar Mishra; Girish Chowdhary 001; Prashant G. Mehta (Autom., 2022)

Energy Shaping Control of a Muscular Octopus Arm Moving in Three Dimensions. - Heng-Sheng Chang; Udit Halder; Chia-Hsien Shih; Noel M. Naughton; Mattia Gazzola; Prashant G. Mehta (CoRR, 2022)

Sufficient Exploration for Convex Q-learning. - Fan Lu; Prashant G. Mehta; Sean P. Meyn; Gergely Neu (CoRR, 2022)

Modeling the Neuromuscular Control System of an Octopus Arm. - Tixian Wang; Udit Halder; Ekaterina Gribkova; Mattia Gazzola; Prashant G. Mehta (CoRR, 2022)

Controlled interacting particle algorithms for simulation-based reinforcement learning. - Anant A. Joshi; Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (Syst. Control. Lett., 2022)

On the Lyapunov Foster Criterion and Poincaré Inequality for Reversible Markov Chains. - Amirhossein Taghvaei; Prashant G. Mehta (IEEE Trans. Autom. Control., 2022)

Topology, dynamics, and control of an octopus-analog muscular hydrostat. - Arman Tekinalp; Noel M. Naughton; Seung Hyun Kim; Udit Halder; Rhanor Gillette; Prashant G. Mehta; William Kier; Mattia Gazzola (CoRR, 2023)

A survey of feedback particle filter and related controlled interacting particle systems (CIPS). - Amirhossein Taghvaei; Prashant G. Mehta (Annu. Rev. Control., 2023)

Stochastic control and stability with applications: Ari Arapostathis memorial issue. - Vivek S. Borkar; Prashant G. Mehta; Guodong Pang; Serdar Yüksel (Syst. Control. Lett., 2023)

Hierarchical Control and Learning of a Foraging CyberOctopus. - Chia-Hsien Shih; Noel M. Naughton; Udit Halder; Heng-Sheng Chang; Seung Hyun Kim; Rhanor Gillette; Prashant G. Mehta; Mattia Gazzola (Adv. Intell. Syst., 2023)

Dual Ensemble Kalman Filter for Stochastic Optimal Control. - Anant A. Joshi; Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (CDC, 2024)

Backward Map for Filter Stability Analysis. - Jin-Won Kim; Anant A. Joshi; Prashant G. Mehta (CDC, 2024)

Neural Models and Algorithms for Sensorimotor Control of an Octopus Arm. - Tixian Wang; Udit Halder; Ekaterina Gribkova; Rhanor Gillette; Mattia Gazzola; Prashant G. Mehta (CoRR, 2024)

Design of Interacting Particle Systems for Fast and Efficient Reinforcement Learning. - Anant A. Joshi; Heng-Sheng Chang; Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (CoRR, 2024)

A Neural Network-based Framework for Fast and Smooth Posture Reconstruction of a Soft Continuum Arm. - Tixian Wang; Heng-Sheng Chang; Seung Hyun Kim; Jiamiao Guo; Ugur Akcal; Benjamin Walt; Darren Biskup; Udit Halder; Girish Krishnan; Girish Chowdhary 001; Mattia Gazzola; Prashant G. Mehta (CoRR, 2024)

How to implement the Bayes' formula in the age of ML? - Amirhossein Taghvaei; Prashant G. Mehta (CoRR, 2024)

Duality for Nonlinear Filtering I: Observability. - Jin-Won Kim; Prashant G. Mehta (IEEE Trans. Autom. Control., 2024)

Duality for Nonlinear Filtering II: Optimal Control. - Jin-Won Kim; Prashant G. Mehta (IEEE Trans. Autom. Control., 2024)

Variance Decay Property for Filter Stability. - Jin-Won Kim; Prashant G. Mehta (IEEE Trans. Autom. Control., 2024)

Interacting Particle Systems for Fast Linear Quadratic RL. - Anant A. Joshi; Heng-Sheng Chang; Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (L4DC, 2025)

Functional Role of Synchronization: A Mean-Field Control Perspective. - Prashant G. Mehta; Sean P. Meyn (J. Syst. Sci. Complex., 2025)

Error Analysis of Sampling Algorithms for Approximating Stochastic Optimal Control. - Anant A. Joshi; Amirhossein Taghvaei; Prashant G. Mehta (CoRR, 2025)

Dual Filter: A Mathematical Framework for Inference using Transformer-like Architectures. - Heng-Sheng Chang; Prashant G. Mehta (CoRR, 2025)

Simulations and experiments with assemblies of fiber-reinforced soft actuators. - Seung Hyun Kim; Jiamiao Guo; Arman Tekinalp; Heng-Sheng Chang; Ugur Akcal; Tixian Wang; Darren Biskup; Benjamin Walt; Girish Chowdhary 001; Girish Krishnan; Prashant G. Mehta; Mattia Gazzola (CoRR, 2025)