Prashant G. Mehta

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 76

Top Venues

CoRR

CDC

ACC

IEEE Trans. Autom. Control.

Publications

Jin-Won Kim, Prashant G. Mehta
Duality for Nonlinear Filtering II: Optimal Control. IEEE Trans. Autom. Control. 69 (2) (2024)
Tixian Wang, Udit Halder, Ekaterina Gribkova, Rhanor Gillette, Mattia Gazzola, Prashant G. Mehta
Neural Models and Algorithms for Sensorimotor Control of an Octopus Arm. CoRR (2024)
Jin-Won Kim, Prashant G. Mehta
Duality for Nonlinear Filtering I: Observability. IEEE Trans. Autom. Control. 69 (2) (2024)
Vivek S. Borkar, Prashant G. Mehta, Guodong Pang, Serdar Yüksel
Stochastic control and stability with applications: Ari Arapostathis memorial issue. Syst. Control. Lett. 174 (2023)
Amirhossein Taghvaei, Prashant G. Mehta
A Survey of Feedback Particle Filter and related Controlled Interacting Particle Systems (CIPS). CoRR (2023)
Chia-Hsien Shih, Noel M. Naughton, Udit Halder, Heng-Sheng Chang, Seung Hyun Kim, Rhanor Gillette, Prashant G. Mehta, Mattia Gazzola
Hierarchical control and learning of a foraging CyberOctopus. CoRR (2023)
Amirhossein Taghvaei, Prashant G. Mehta
A survey of feedback particle filter and related controlled interacting particle systems (CIPS). Annu. Rev. Control. 55 (2023)
Arman Tekinalp, Noel M. Naughton, Seung Hyun Kim, Udit Halder, Rhanor Gillette, Prashant G. Mehta, William Kier, Mattia Gazzola
Topology, dynamics, and control of an octopus-analog muscular hydrostat. CoRR (2023)
Chia-Hsien Shih, Noel M. Naughton, Udit Halder, Heng-Sheng Chang, Seung Hyun Kim, Rhanor Gillette, Prashant G. Mehta, Mattia Gazzola
Hierarchical Control and Learning of a Foraging CyberOctopus. Adv. Intell. Syst. 5 (9) (2023)
Chia-Hsien Shih, Noel M. Naughton, Udit Halder, Heng-Sheng Chang, Seung Hyun Kim, Rhanor Gillette, Prashant G. Mehta, Mattia Gazzola
Hierarchical Control and Learning of a Foraging CyberOctopus. Adv. Intell. Syst. 5 (9) (2023)
Fan Lu, Prashant G. Mehta, Sean P. Meyn, Gergely Neu
Convex Analytic Theory for Convex Q-Learning. CDC (2022)
Sukru Yagiz Olmez, Shubham Aggarwal, Jin-Won Kim, Erik Miehling, Tamer Basar, Matthew West, Prashant G. Mehta
How does a Rational Agent Act in an Epidemic? CDC (2022)
Tixian Wang, Udit Halder, Ekaterina Gribkova, Mattia Gazzola, Prashant G. Mehta
Control-oriented Modeling of Bend Propagation in an Octopus Arm. ACC (2022)
Tixian Wang, Udit Halder, Ekaterina Gribkova, Mattia Gazzola, Prashant G. Mehta
Modeling the Neuromuscular Control System of an Octopus Arm. CoRR (2022)
Tixian Wang, Udit Halder, Ekaterina Gribkova, Rhanor Gillette, Mattia Gazzola, Prashant G. Mehta
A Sensory Feedback Control Law for Octopus Arm Movements. CoRR (2022)
Seung Hyun Kim, Heng-Sheng Chang, Chia-Hsien Shih, Naveen Kumar Uppalapati, Udit Halder, Girish Krishnan, Prashant G. Mehta, Mattia Gazzola
A physics-informed, vision-based method to reconstruct all deformation modes in slender bodies. ICRA (2022)
Amirhossein Taghvaei, Prashant G. Mehta
On the Lyapunov Foster Criterion and Poincaré Inequality for Reversible Markov Chains. IEEE Trans. Autom. Control. 67 (5) (2022)
Prabhat Kumar Mishra, Girish Chowdhary, Prashant G. Mehta
Minimum variance constrained estimator. Autom. 137 (2022)
Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
Controlled interacting particle algorithms for simulation-based reinforcement learning. Syst. Control. Lett. 170 (2022)
Fan Lu, Prashant G. Mehta, Sean Meyn, Gergely Neu
Sufficient Exploration for Convex Q-learning. CoRR (2022)
Sukru Yagiz Olmez, Shubham Aggarwal, Jin-Won Kim, Erik Miehling, Tamer Basar, Matthew West, Prashant G. Mehta
How does a Rational Agent Act in an Epidemic? CoRR (2022)
Heng-Sheng Chang, Udit Halder, Chia-Hsien Shih, Noel M. Naughton, Mattia Gazzola, Prashant G. Mehta
Energy Shaping Control of a Muscular Octopus Arm Moving in Three Dimensions. CoRR (2022)
Tixian Wang, Udit Halder, Ekaterina Gribkova, Rhanor Gillette, Mattia Gazzola, Prashant G. Mehta
A Sensory Feedback Control Law for Octopus Arm Movements. CDC (2022)
Sukru Yagiz Olmez, Shubham Aggarwal, Jin-Won Kim, Erik Miehling, Tamer Basar, Matthew West, Prashant G. Mehta
Modeling Presymptomatic Spread in Epidemics via Mean-Field Games. ACC (2022)
Sukru Yagiz Olmez, Shubham Aggarwal, Jin-Won Kim, Erik Miehling, Tamer Basar, Matthew West, Prashant G. Mehta
Modeling Presymptomatic Spread in Epidemics via Mean-Field Games. CoRR (2021)
Tixian Wang, Udit Halder, Ekaterina Gribkova, Mattia Gazzola, Prashant G. Mehta
Control-oriented Modeling of Bend Propagation in an Octopus Arm. CoRR (2021)
Jin-Won Kim, Prashant G. Mehta
A Dual Characterization of the Stability of the Wonham Filter. CDC (2021)
Heng-Sheng Chang, Udit Halder, Ekaterina Gribkova, Arman Tekinalp, Noel M. Naughton, Mattia Gazzola, Prashant G. Mehta
Controlling a CyberOctopus Soft Arm with Muscle-like Actuation. CDC (2021)
Amirhossein Taghvaei, Prashant G. Mehta
Optimal Transportation Methods in Nonlinear Filtering: The feedback particle filter. CoRR (2021)
Anant Joshi, Amirhossein Taghvaei, Prashant G. Mehta
Ensemble Kalman Filter (EnKF) for Reinforcement Learning (RL). CoRR (2021)
Fan Lu, Prashant G. Mehta, Sean P. Meyn, Gergely Neu
Convex Q-Learning. ACC (2021)
Amirhossein Taghvaei, Prashant G. Mehta
An Optimal Transport Formulation of the Ensemble Kalman Filter. IEEE Trans. Autom. Control. 66 (7) (2021)
Sukru Yagiz Olmez, Jameson Mori, Erik Miehling, Tamer Basar, Rebecca L. Smith, Matthew West, Prashant G. Mehta
A Data-Informed Approach for Analysis, Validation, and Identification of COVID-19 Models. ACC (2021)
Tixian Wang, Udit Halder, Heng-Sheng Chang, Mattia Gazzola, Prashant G. Mehta
Optimal Control of a Soft CyberOctopus Arm. ACC (2021)
Jin-Won Kim, Prashant G. Mehta, Sean P. Meyn
The Conditional Poincaré Inequality for Filter Stability. CDC (2021)
Seung Hyun Kim, Heng-Sheng Chang, Chia-Hsien Shih, Naveen Kumar Uppalapati, Udit Halder, Girish Krishnan, Prashant G. Mehta, Mattia Gazzola
A physics-informed, vision-based method to reconstruct all deformation modes in slender bodies. CoRR (2021)
Heng-Sheng Chang, Udit Halder, Ekaterina Gribkova, Arman Tekinalp, Noel M. Naughton, Mattia Gazzola, Prashant G. Mehta
Controlling a CyberOctopus Soft Arm with Muscle-like Actuation. CoRR (2020)
Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta
Bio-inspired Learning of Sensorimotor Control for Locomotion. ACC (2020)
Amirhossein Taghvaei, Prashant G. Mehta, Tryphon T. Georgiou
Optimality vs Stability Trade-off in Ensemble Kalman Filters. CoRR (2020)
Heng-Sheng Chang, Udit Halder, Chia-Hsien Shih, Arman Tekinalp, Tejaswin Parthasarathy, Ekaterina Gribkova, Girish Chowdhary, Rhanor Gillette, Mattia Gazzola, Prashant G. Mehta
Energy Shaping Control of a CyberOctopus Soft Arm. CoRR (2020)
Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
Diffusion Map-based Algorithm for Gain Function Approximation in the Feedback Particle Filter. SIAM/ASA J. Uncertain. Quantification 8 (3) (2020)
Tixian Wang, Udit Halder, Heng-Sheng Chang, Mattia Gazzola, Prashant G. Mehta
Optimal Control of a Soft CyberOctopus Arm. CoRR (2020)
Heng-Sheng Chang, Udit Halder, Chia-Hsien Shih, Arman Tekinalp, Tejaswin Parthasarathy, Ekaterina Gribkova, Girish Chowdhary, Rhanor Gillette, Mattia Gazzola, Prashant G. Mehta
Energy Shaping Control of a CyberOctopus Soft Arm. CDC (2020)
Sukru Yagiz Olmez, Amirhossein Taghvaei, Prashant G. Mehta
Deep FPF: Gain function approximation in high-dimensional setting. CDC (2020)
Prashant G. Mehta, Sean P. Meyn
Convex Q-Learning, Part 1: Deterministic Optimal Control. CoRR (2020)
Sukru Yagiz Olmez, Amirhossein Taghvaei, Prashant G. Mehta
Deep FPF: Gain function approximation in high-dimensional setting. CoRR (2020)
Amirhossein Taghvaei, Prashant G. Mehta
An Optimal Transport Formulation of the Ensemble Kalman Filter. CoRR (2019)
Amirhossein Taghvaei, Prashant G. Mehta
Accelerated Flow for Probability Distributions. ICML (2019)
Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
Gain function approximation in the Feedback Particle Filter. CoRR (2019)
Jin-Won Kim, Prashant G. Mehta, Sean P. Meyn
What is the Lagrangian for Nonlinear Filtering? CDC (2019)
Amirhossein Taghvaei, Prashant G. Mehta
Accelerated Flow for Probability Distributions. CoRR (2019)
Andrey Bernstein, Yue Chen, Marcello Colombino, Emiliano Dall'Anese, Prashant G. Mehta, Sean P. Meyn
Quasi-Stochastic Approximation and Off-Policy Reinforcement Learning. CDC (2019)
Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta
Q-learning for POMDP: An application to learning locomotion gaits. CoRR (2019)
Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta
Q-learning for POMDP: An application to learning locomotion gaits. CDC (2019)
Jin-Won Kim, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
An Approach to Duality in Nonlinear Filtering. ACC (2019)
Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta
A Mean-Field Optimal Control Formulation for Global Optimization. IEEE Trans. Autom. Control. 64 (1) (2019)
Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta
Bio-inspired Learning of Sensorimotor Control for Locomotion. CoRR (2019)
Amirhossein Taghvaei, Prashant G. Mehta
Error Analysis of the Stochastic Linear Feedback Particle Filter. CDC (2018)
Amirhossein Taghvaei, Prashant G. Mehta
Error Analysis of the Stochastic Linear Feedback Particle Filter. CoRR (2018)
Jin-Won Kim, Amirhossein Taghvaei, Prashant G. Mehta
Derivation and Extensions of the Linear Feedback Particle Filter Based on Duality Formalisms. CDC (2018)
Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta
Feedback Particle Filter on Riemannian Manifolds and Matrix Lie Groups. IEEE Trans. Autom. Control. 63 (8) (2018)
Amirhossein Taghvaei, Prashant G. Mehta
Error Analysis for the Linear Feedback Particle Filter. ACC (2018)
Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
Error estimates for the kernel gain function approximation in the feedback particle filter. ACC (2017)
Amirhossein Taghvaei, Jin-Won Kim, Prashant G. Mehta
How regularization affects the critical points in linear networks. NIPS (2017)
Amirhossein Taghvaei, Jana de Wiljes, Prashant G. Mehta, Sebastian Reich
Kalman Filter and its Modern Extensions for the Continuous-time Nonlinear Filtering Problem. CoRR (2017)
Amirhossein Taghvaei, Jin-Won Kim, Prashant G. Mehta
How regularization affects the critical points in linear networks. CoRR (2017)
Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta
Attitude estimation of a wearable motion sensor. ACC (2017)
Tao Yang, Prashant G. Mehta, Sean P. Meyn
Feedback Particle Filter for a Continuous-Time Markov Chain. IEEE Trans. Autom. Control. 61 (2) (2016)
Tao Yang, Richard S. Laugesen, Prashant G. Mehta, Sean P. Meyn
Multivariable feedback particle filter. Autom. 71 (2016)
Amirhossein Taghvaei, Prashant G. Mehta
An optimal transport formulation of the linear feedback particle filter. ACC (2016)
Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta
Feedback particle filter on matrix lie groups. ACC (2016)
Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta
Attitude estimation with feedback particle filter. CDC (2016)
Amirhossein Taghvaei, Prashant G. Mehta
Gain function approximation in the feedback particle filter. CDC (2016)
Chi Zhang, Prashant G. Mehta
A comparative study of cooperative localization techniques for sensor networks. ACC (2015)
Kun Deng, Yu Sun, Sisi Li, Yan Lu, Jack Brouwer, Prashant G. Mehta, MengChu Zhou, Amit Chakraborty
Model Predictive Control of Central Chiller Plant With Thermal Energy Storage Via Dynamic Programming and Mixed-Integer Linear Programming. IEEE Trans Autom. Sci. Eng. 12 (2) (2015)
Richard S. Laugesen, Prashant G. Mehta, Sean P. Meyn, Maxim Raginsky
Poisson's Equation in Nonlinear Filtering. SIAM J. Control. Optim. 53 (1) (2015)
Richard S. Laugesen, Prashant G. Mehta, Sean P. Meyn, Maxim Raginsky
Poisson's equation in nonlinear filtering. CDC (2014)
Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday V. Shanbhag
On the Efficiency of Equilibria in Mean-Field Oscillator Games. Dyn. Games Appl. 4 (2) (2014)
Amirhossein Taghvaei, Seth Hutchinson, Prashant G. Mehta
A coupled oscillators-based control architecture for locomotory gaits. CDC (2014)
Adam K. Tilton, Prashant G. Mehta
Control with rhythms: A CPG architecture for pumping a swing. ACC (2014)
Tao Yang, Prashant G. Mehta
Probabilistic Data Association-Feedback Particle Filter for Multiple Target Tracking Applications. CoRR (2014)
Kun Deng, Siddharth Goyal, Prabir Barooah, Prashant G. Mehta
Structure-preserving model reduction of nonlinear building thermal models. Autom. 50 (4) (2014)
Tao Yang, Henk A. P. Blom, Prashant G. Mehta
The continuous-discrete time feedback particle filter. ACC (2014)
Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday V. Shanbhag
Learning in Mean-Field Games. IEEE Trans. Autom. Control. 59 (3) (2014)
Adam K. Tilton, Shane Ghiotto, Prashant G. Mehta
A comparative study of nonlinear filtering techniques. FUSION (2013)
Tao Yang, Henk A. P. Blom, Prashant G. Mehta
Interacting multiple model-feedback particle filter for stochastic hybrid systems. CDC (2013)
Adam K. Tilton, Prashant G. Mehta, Sean P. Meyn
Multi-dimensional feedback particle filter for coupled oscillators. ACC (2013)
Tao Yang, Prashant G. Mehta, Sean P. Meyn
Feedback particle filter for a continuous-time Markov chain. ACC (2013)
Kun Deng, Yu Sun, Amit Chakraborty, Yan Lu, Jack Brouwer, Prashant G. Mehta
Optimal scheduling of chiller plant with thermal energy storage using mixed integer linear programming. ACC (2013)
Wei Chen, Dayu Huang, Ankur A. Kulkarni, Jayakrishnan Unnikrishnan, Quanyan Zhu, Prashant G. Mehta, Sean P. Meyn, Adam Wierman
Approximate dynamic programming using fluid and diffusion approximations with applications to power management. CoRR (2013)
Tao Yang, Prashant G. Mehta, Sean P. Meyn
Feedback Particle Filter. IEEE Trans. Autom. Control. 58 (10) (2013)
Prashant G. Mehta, Sean P. Meyn
A feedback particle filter-based approach to optimal control with partial observations. CDC (2013)
Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday V. Shanbhag
Synchronization of Coupled Oscillators is a Game. IEEE Trans. Autom. Control. 57 (4) (2012)
Kun Deng, Prabir Barooah, Prashant G. Mehta
Mean-field control for energy efficient buildings. ACC (2012)
Adam K. Tilton, Tao Yang, Huibing Yin, Prashant G. Mehta
Feedback particle filter-based multiple target tracking using bearing-only measurements. FUSION (2012)
Adam K. Tilton, Elizabeth T. Hsiao-Wecksler, Prashant G. Mehta
Filtering with rhythms: Application to estimation of gait cycle. ACC (2012)
Yu Sun, Alberto Speranzon, Prashant G. Mehta
Convergence rate for distributed optimization methods: Novel bounds and distributed step size computation. ACC (2012)
Tao Yang, Geng Huang, Prashant G. Mehta
Joint probabilistic data association-feedback particle filter for multiple target tracking applications. ACC (2012)
Pilwon Hur, K. Alex Shorter, Prashant G. Mehta, Elizabeth T. Hsiao-Wecksler
Invariant Density Analysis: Modeling and Analysis of the Postural Control System Using Markov Chains. IEEE Trans. Biomed. Eng. 59 (4) (2012)
Tao Yang, Richard S. Laugesen, Prashant G. Mehta, Sean P. Meyn
Multivariable feedback particle filter. CDC (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Prashant G. Mehta