default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDPrashant G. Mehta
Person information
Other persons with a similar name
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j37]Jin-Won Kim
, Prashant G. Mehta:
Duality for Nonlinear Filtering I: Observability. IEEE Trans. Autom. Control. 69(2): 699-711 (2024)- [j36]Jin-Won Kim, Prashant G. Mehta:
Duality for Nonlinear Filtering II: Optimal Control. IEEE Trans. Autom. Control. 69(2): 712-725 (2024) - [j35]Jin-Won Kim, Prashant G. Mehta:
Variance Decay Property for Filter Stability. IEEE Trans. Autom. Control. 69(12): 8140-8155 (2024) - [i33]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 abs/2402.01074 (2024) - [i32]Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn:
Dual Ensemble Kalman Filter for Stochastic Optimal Control. CoRR abs/2404.06696 (2024) - [i31]Anant A. Joshi, Heng-Sheng Chang, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn:
Design of Interacting Particle Systems for Fast and Efficient Reinforcement Learning. CoRR abs/2406.11057 (2024) - [i30]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:
A Neural Network-based Framework for Fast and Smooth Posture Reconstruction of a Soft Continuum Arm. CoRR abs/2409.12443 (2024) - 2023
- [j34]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) - [j33]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) - [j32]Amirhossein Taghvaei, Prashant G. Mehta:
A survey of feedback particle filter and related controlled interacting particle systems (CIPS). Annu. Rev. Control. 55: 356-378 (2023) - [j31]Vivek S. Borkar, Prashant G. Mehta, Guodong Pang, Serdar Yüksel:
Stochastic control and stability with applications: Ari Arapostathis memorial issue. Syst. Control. Lett. 174: 105491 (2023) - [i29]Amirhossein Taghvaei, Prashant G. Mehta:
A Survey of Feedback Particle Filter and related Controlled Interacting Particle Systems (CIPS). CoRR abs/2301.00935 (2023) - [i28]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 abs/2302.05811 (2023) - [i27]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 abs/2304.08413 (2023) - 2022
- [j30]Prabhat Kumar Mishra, Girish Chowdhary, Prashant G. Mehta:
Minimum variance constrained estimator. Autom. 137: 110106 (2022) - [j29]Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn:
Controlled interacting particle algorithms for simulation-based reinforcement learning. Syst. Control. Lett. 170: 105392 (2022) - [j28]Amirhossein Taghvaei, Prashant G. Mehta:
On the Lyapunov Foster Criterion and Poincaré Inequality for Reversible Markov Chains. IEEE Trans. Autom. Control. 67(5): 2605-2609 (2022) - [c83]Tixian Wang, Udit Halder, Ekaterina Gribkova, Mattia Gazzola, Prashant G. Mehta:
Control-oriented Modeling of Bend Propagation in an Octopus Arm. ACC 2022: 1359-1366 - [c82]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: 3648-3655 - [c81]Tixian Wang, Udit Halder, Ekaterina Gribkova, Rhanor Gillette, Mattia Gazzola, Prashant G. Mehta:
A Sensory Feedback Control Law for Octopus Arm Movements. CDC 2022: 1059-1066 - [c80]Fan Lu, Prashant G. Mehta, Sean P. Meyn, Gergely Neu:
Convex Analytic Theory for Convex Q-Learning. CDC 2022: 4065-4071 - [c79]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: 5536-5543 - [c78]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: 4810-4817 - [i26]Tixian Wang, Udit Halder, Ekaterina Gribkova, Rhanor Gillette, Mattia Gazzola, Prashant G. Mehta:
A Sensory Feedback Control Law for Octopus Arm Movements. CoRR abs/2204.00717 (2022) - [i25]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 abs/2206.02222 (2022) - [i24]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 abs/2209.04089 (2022) - [i23]Fan Lu, Prashant G. Mehta, Sean P. Meyn, Gergely Neu:
Sufficient Exploration for Convex Q-learning. CoRR abs/2210.09409 (2022) - [i22]Tixian Wang, Udit Halder, Ekaterina Gribkova, Mattia Gazzola, Prashant G. Mehta:
Modeling the Neuromuscular Control System of an Octopus Arm. CoRR abs/2211.06767 (2022) - 2021
- [j27]Amirhossein Taghvaei, Prashant G. Mehta:
An Optimal Transport Formulation of the Ensemble Kalman Filter. IEEE Trans. Autom. Control. 66(7): 3052-3067 (2021) - [c77]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: 3138-3144 - [c76]Fan Lu, Prashant G. Mehta, Sean P. Meyn, Gergely Neu:
Convex Q-Learning. ACC 2021: 4749-4756 - [c75]Tixian Wang, Udit Halder, Heng-Sheng Chang, Mattia Gazzola, Prashant G. Mehta:
Optimal Control of a Soft CyberOctopus Arm. ACC 2021: 4757-4764 - [c74]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: 1383-1390 - [c73]Jin-Won Kim, Prashant G. Mehta:
A Dual Characterization of the Stability of the Wonham Filter. CDC 2021: 1621-1628 - [c72]Jin-Won Kim, Prashant G. Mehta, Sean P. Meyn:
The Conditional Poincaré Inequality for Filter Stability. CDC 2021: 1629-1636 - [i21]Amirhossein Taghvaei, Prashant G. Mehta:
Optimal Transportation Methods in Nonlinear Filtering: The feedback particle filter. CoRR abs/2102.10712 (2021) - [i20]Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta:
Ensemble Kalman Filter (EnKF) for Reinforcement Learning (RL). CoRR abs/2107.01244 (2021) - [i19]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 abs/2109.08372 (2021) - [i18]Tixian Wang, Udit Halder, Ekaterina Gribkova, Mattia Gazzola, Prashant G. Mehta:
Control-oriented Modeling of Bend Propagation in an Octopus Arm. CoRR abs/2110.07211 (2021) - [i17]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 abs/2111.10422 (2021) - 2020
- [j26]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): 1090-1117 (2020) - [c71]Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta:
Bio-inspired Learning of Sensorimotor Control for Locomotion. ACC 2020: 2188-2193 - [c70]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: 3913-3920 - [c69]Sukru Yagiz Olmez, Amirhossein Taghvaei, Prashant G. Mehta:
Deep FPF: Gain function approximation in high-dimensional setting. CDC 2020: 4790-4795 - [i16]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 abs/2004.05747 (2020) - [i15]Prashant G. Mehta, Sean P. Meyn:
Convex Q-Learning, Part 1: Deterministic Optimal Control. CoRR abs/2008.03559 (2020) - [i14]Sukru Yagiz Olmez, Amirhossein Taghvaei, Prashant G. Mehta:
Deep FPF: Gain function approximation in high-dimensional setting. CoRR abs/2010.01183 (2020) - [i13]Tixian Wang, Udit Halder, Heng-Sheng Chang, Mattia Gazzola, Prashant G. Mehta:
Optimal Control of a Soft CyberOctopus Arm. CoRR abs/2010.01226 (2020) - [i12]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 abs/2010.03368 (2020) - [i11]Amirhossein Taghvaei, Prashant G. Mehta, Tryphon T. Georgiou:
Optimality vs Stability Trade-off in Ensemble Kalman Filters. CoRR abs/2010.09920 (2020)
2010 – 2019
- 2019
- [j25]Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta:
A Mean-Field Optimal Control Formulation for Global Optimization. IEEE Trans. Autom. Control. 64(1): 282-289 (2019) - [c68]Jin-Won Kim, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn:
An Approach to Duality in Nonlinear Filtering. ACC 2019: 5360-5365 - [c67]Jin-Won Kim, Prashant G. Mehta, Sean P. Meyn:
What is the Lagrangian for Nonlinear Filtering? CDC 2019: 1607-1614 - [c66]Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta:
Q-learning for POMDP: An application to learning locomotion gaits. CDC 2019: 2758-2763 - [c65]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: 5244-5251 - [c64]Amirhossein Taghvaei, Prashant G. Mehta:
Accelerated Flow for Probability Distributions. ICML 2019: 6076-6085 - [i10]Amirhossein Taghvaei, Prashant G. Mehta:
Accelerated Flow for Probability Distributions. CoRR abs/1901.03317 (2019) - [i9]Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn:
Gain function approximation in the Feedback Particle Filter. CoRR abs/1902.07263 (2019) - [i8]Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta:
Q-learning for POMDP: An application to learning locomotion gaits. CoRR abs/1910.00107 (2019) - [i7]Amirhossein Taghvaei, Prashant G. Mehta:
An Optimal Transport Formulation of the Ensemble Kalman Filter. CoRR abs/1910.02338 (2019) - [i6]Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta:
Bio-inspired Learning of Sensorimotor Control for Locomotion. CoRR abs/1910.02556 (2019) - 2018
- [j24]Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta:
Feedback Particle Filter on Riemannian Manifolds and Matrix Lie Groups. IEEE Trans. Autom. Control. 63(8): 2465-2480 (2018) - [c63]Amirhossein Taghvaei, Prashant G. Mehta:
Error Analysis for the Linear Feedback Particle Filter. ACC 2018: 4261-4266 - [c62]Jin-Won Kim, Amirhossein Taghvaei, Prashant G. Mehta:
Derivation and Extensions of the Linear Feedback Particle Filter Based on Duality Formalisms. CDC 2018: 7188-7193 - [c61]Amirhossein Taghvaei, Prashant G. Mehta:
Error Analysis of the Stochastic Linear Feedback Particle Filter. CDC 2018: 7194-7199 - [i5]Amirhossein Taghvaei, Prashant G. Mehta:
Error Analysis of the Stochastic Linear Feedback Particle Filter. CoRR abs/1809.07892 (2018) - 2017
- [c60]Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta:
Attitude estimation of a wearable motion sensor. ACC 2017: 4570-4575 - [c59]Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn:
Error estimates for the kernel gain function approximation in the feedback particle filter. ACC 2017: 4576-4582 - [c58]Amirhossein Taghvaei, Jin-Won Kim, Prashant G. Mehta:
How regularization affects the critical points in linear networks. NIPS 2017: 2502-2512 - [i4]Amirhossein Taghvaei, Jana de Wiljes, Prashant G. Mehta, Sebastian Reich:
Kalman Filter and its Modern Extensions for the Continuous-time Nonlinear Filtering Problem. CoRR abs/1702.07241 (2017) - [i3]Amirhossein Taghvaei, Jin-Won Kim, Prashant G. Mehta:
How regularization affects the critical points in linear networks. CoRR abs/1709.09625 (2017) - 2016
- [j23]Tao Yang, Richard S. Laugesen, Prashant G. Mehta, Sean P. Meyn:
Multivariable feedback particle filter. Autom. 71: 10-23 (2016) - [j22]Tao Yang, Prashant G. Mehta, Sean P. Meyn:
Feedback Particle Filter for a Continuous-Time Markov Chain. IEEE Trans. Autom. Control. 61(2): 556-561 (2016) - [c57]Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta:
Feedback particle filter on matrix lie groups. ACC 2016: 2723-2728 - [c56]Amirhossein Taghvaei, Prashant G. Mehta:
An optimal transport formulation of the linear feedback particle filter. ACC 2016: 3614-3619 - [c55]Chi Zhang, Amirhossein Taghvaei, Prashant G. Mehta:
Attitude estimation with feedback particle filter. CDC 2016: 5440-5445 - [c54]Amirhossein Taghvaei, Prashant G. Mehta:
Gain function approximation in the feedback particle filter. CDC 2016: 5446-5452 - 2015
- [j21]Richard S. Laugesen, Prashant G. Mehta, Sean P. Meyn, Maxim Raginsky:
Poisson's Equation in Nonlinear Filtering. SIAM J. Control. Optim. 53(1): 501-525 (2015) - [j20]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): 565-579 (2015) - [c53]Chi Zhang, Prashant G. Mehta:
A comparative study of cooperative localization techniques for sensor networks. ACC 2015: 3181-3186 - 2014
- [j19]Kun Deng, Siddharth Goyal, Prabir Barooah, Prashant G. Mehta:
Structure-preserving model reduction of nonlinear building thermal models. Autom. 50(4): 1188-1195 (2014) - [j18]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): 177-207 (2014) - [j17]Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday V. Shanbhag:
Learning in Mean-Field Games. IEEE Trans. Autom. Control. 59(3): 629-644 (2014) - [c52]Adam K. Tilton, Prashant G. Mehta:
Control with rhythms: A CPG architecture for pumping a swing. ACC 2014: 584-589 - [c51]Tao Yang, Henk A. P. Blom, Prashant G. Mehta:
The continuous-discrete time feedback particle filter. ACC 2014: 648-653 - [c50]Amirhossein Taghvaei, Seth Hutchinson, Prashant G. Mehta:
A coupled oscillators-based control architecture for locomotory gaits. CDC 2014: 3487-3492 - [c49]Richard S. Laugesen, Prashant G. Mehta, Sean P. Meyn, Maxim Raginsky:
Poisson's equation in nonlinear filtering. CDC 2014: 4185-4190 - [i2]Tao Yang, Prashant G. Mehta:
Probabilistic Data Association-Feedback Particle Filter for Multiple Target Tracking Applications. CoRR abs/1404.4386 (2014) - 2013
- [j16]Tao Yang, Prashant G. Mehta, Sean P. Meyn:
Feedback Particle Filter. IEEE Trans. Autom. Control. 58(10): 2465-2480 (2013) - [c48]Adam K. Tilton, Prashant G. Mehta, Sean P. Meyn:
Multi-dimensional feedback particle filter for coupled oscillators. ACC 2013: 2415-2421 - [c47]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: 2958-2963 - [c46]Tao Yang, Prashant G. Mehta, Sean P. Meyn:
Feedback particle filter for a continuous-time Markov chain. ACC 2013: 6772-6777 - [c45]Prashant G. Mehta, Sean P. Meyn:
A feedback particle filter-based approach to optimal control with partial observations. CDC 2013: 3121-3127 - [c44]Tao Yang, Henk A. P. Blom, Prashant G. Mehta:
Interacting multiple model-feedback particle filter for stochastic hybrid systems. CDC 2013: 7065-7070 - [c43]Adam K. Tilton, Shane Ghiotto, Prashant G. Mehta:
A comparative study of nonlinear filtering techniques. FUSION 2013: 1827-1834 - [i1]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 abs/1307.1759 (2013) - 2012
- [j15]Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday V. Shanbhag:
Synchronization of Coupled Oscillators is a Game. IEEE Trans. Autom. Control. 57(4): 920-935 (2012) - [j14]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): 1094-1100 (2012) - [c42]Tao Yang, Geng Huang, Prashant G. Mehta:
Joint probabilistic data association-feedback particle filter for multiple target tracking applications. ACC 2012: 820-826 - [c41]Kun Deng, Prabir Barooah, Prashant G. Mehta:
Mean-field control for energy efficient buildings. ACC 2012: 3044-3049 - [c40]Adam K. Tilton, Elizabeth T. Hsiao-Wecksler, Prashant G. Mehta:
Filtering with rhythms: Application to estimation of gait cycle. ACC 2012: 3433-3438 - [c39]Yu Sun, Alberto Speranzon, Prashant G. Mehta:
Convergence rate for distributed optimization methods: Novel bounds and distributed step size computation. ACC 2012: 3712-3717 - [c38]Tao Yang, Richard S. Laugesen, Prashant G. Mehta, Sean P. Meyn:
Multivariable feedback particle filter. CDC 2012: 4063-4070 - [c37]Adam K. Tilton, Tao Yang, Huibing Yin, Prashant G. Mehta:
Feedback particle filter-based multiple target tracking using bearing-only measurements. FUSION 2012: 2058-2064 - 2011
- [j13]He Hao, Prabir Barooah, Prashant G. Mehta:
Stability Margin Scaling Laws for Distributed Formation Control as a Function of Network Structure. IEEE Trans. Autom. Control. 56(4): 923-929 (2011) - [j12]Huibing Yin, Uday V. Shanbhag, Prashant G. Mehta:
Nash Equilibrium Problems With Scaled Congestion Costs and Shared Constraints. IEEE Trans. Autom. Control. 56(7): 1702-1708 (2011) - [j11]Kun Deng, Prashant G. Mehta, Sean P. Meyn:
Optimal Kullback-Leibler Aggregation via Spectral Theory of Markov Chains. IEEE Trans. Autom. Control. 56(12): 2793-2808 (2011) - [c36]Tao Yang, Prashant G. Mehta, Sean P. Meyn:
A mean-field control-oriented approach to particle filtering. ACC 2011: 2037-2043 - [c35]Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday V. Shanbhag:
On the efficiency of equilibria in mean-field oscillator games. ACC 2011: 5354-5359 - [c34]Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday V. Shanbhag:
Bifurcation analysis of a heterogeneous mean-field oscillator game model. CDC/ECC 2011: 3895-3900 - [c33]Kun Deng, Prashant G. Mehta, Sean P. Meyn, Mathukumalli Vidyasagar:
A recursive learning algorithm for model reduction of Hidden Markov Models. CDC/ECC 2011: 4674-4679 - [c32]Tao Yang, Prashant G. Mehta, Sean P. Meyn:
Feedback particle filter with mean-field coupling. CDC/ECC 2011: 7909-7916 - 2010
- [j10]Umesh Vaidya, Prashant G. Mehta, Uday V. Shanbhag:
Nonlinear Stabilization via Control Lyapunov Measure. IEEE Trans. Autom. Control. 55(6): 1314-1328 (2010) - [j9]Yu Sun, Prashant G. Mehta:
Bode-Like Fundamental Performance Limitations in Control of Nonlinear Systems. IEEE Trans. Autom. Control. 55(6): 1390-1405 (2010) - [j8]Yu Sun, Prashant G. Mehta:
The Kullback-Leibler Rate Pseudo-Metric for Comparing Dynamical Systems. IEEE Trans. Autom. Control. 55(7): 1585-1598 (2010) - [c31]Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday V. Shanbhag:
Synchronization of coupled oscillators is a game. ACC 2010: 1783-1790 - [c30]Kun Deng, Prabir Barooah, Prashant G. Mehta, Sean P. Meyn:
Building thermal model reduction via aggregation of states. ACC 2010: 5118-5123 - [c29]Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday V. Shanbhag:
Learning in mean-field oscillator games. CDC 2010: 3125-3132 - [c28]Kun Deng, Prashant G. Mehta, Sean P. Meyn:
Aggregation-based model reduction of a Hidden Markov Model. CDC 2010: 6183-6188 - [c27]Yu Sun, Prashant G. Mehta:
Fundamental performance limitations with Kullback-Leibler control cost. CDC 2010: 7063-7068
2000 – 2009
- 2009
- [j7]Huibing Yin, Paul Wang, Tansu Alpcan, Prashant G. Mehta:
Hopf bifurcation and oscillations in a communication network with heterogeneous delays. Autom. 45(10): 2358-2367 (2009) - [j6]Prabir Barooah, Prashant G. Mehta, João P. Hespanha:
Mistuning-Based Control Design to Improve Closed-Loop Stability Margin of Vehicular Platoons. IEEE Trans. Autom. Control. 54(9): 2100-2113 (2009) - [c26]Huibing Yin, Charles L. Cox, Prashant G. Mehta, Uday V. Shanbhag:
Bifurcation analysis of a thalamic relay neuron model. ACC 2009: 337-342 - [c25]Kun Deng, Yu Sun, Prashant G. Mehta, Sean P. Meyn:
An information-theoretic framework to aggregate a Markov chain. ACC 2009: 731-736 - [c24]Prabir Barooah, Prashant G. Mehta:
Optimal mistuning for improved stability of vehicular platoons. CDC 2009: 3020-3025 - [c23]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. CDC 2009: 3575-3580 - [c22]Prashant G. Mehta, Sean P. Meyn:
Q-learning and Pontryagin's Minimum Principle. CDC 2009: 3598-3605 - [c21]Huibing Yin, Uday V. Shanbhag, Prashant G. Mehta:
Nash equilibrium problems with congestion costs and shared constraints. CDC 2009: 4649-4654 - [c20]Kun Deng, Prashant G. Mehta, Sean P. Meyn:
A simulation-based method for aggregating Markov chains. CDC 2009: 4710-4716 - [c19]Yu Sun, Prashant G. Mehta:
The Kullback-Leibler rate metric for comparing dynamical systems. CDC 2009: 8363-8368 - 2008
- [j5]Tansu Alpcan, Paul Wang, Prashant G. Mehta, Tamer Basar:
A non-equilibrium analysis and control framework for active queue management. Autom. 44(10): 2474-2486 (2008) - [j4]Umesh Vaidya, Prashant G. Mehta:
Lyapunov Measure for Almost Everywhere Stability. IEEE Trans. Autom. Control. 53(1): 307-323 (2008) - [j3]Prashant G. Mehta, Umesh Vaidya, Andrzej Banaszuk:
Markov Chains, Entropy, and Fundamental Limitations in Nonlinear Stabilization. IEEE Trans. Autom. Control. 53(3): 784-791 (2008) - [c18]Joseph S. Niedbalski, Kun Deng, Prashant G. Mehta, Sean P. Meyn:
Model reduction for reduced order estimation in traffic models. ACC 2008: 914-919 - [c17]Yu Sun, Prashant G. Mehta, Sean P. Meyn:
Belief propagation in feedback systems: Connections to bode and observability. ACC 2008: 1268-1273 - [c16]Kun Deng, Wei Chen, Prashant G. Mehta, Sean P. Meyn:
Resource pooling for optimal evacuation of a large building. CDC 2008: 5565-5570 - 2007
- [j2]Prashant G. Mehta, Gregory Hagen, Andrzej Banaszuk:
Symmetry and Symmetry-Breaking for a Wave Equation with Feedback. SIAM J. Appl. Dyn. Syst. 6(3): 549-575 (2007) - [c15]Prabir Barooah, Prashant G. Mehta, João Pedro Hespanha:
Control of Large Vehicular Platoons: Improving Closed Loop Stability by Mistuning. ACC 2007: 4666-4671 - [c14]Joseph S. Niedbalski, Prashant G. Mehta:
Simulation and Estimation of Traffic Dynamics on a Graph. ACC 2007: 5064-5069 - [c13]Umesh Vaidya, Prashant G. Mehta, Uday V. Shanbhag:
Nonlinear stabilization via control-Lyapunov measure. CDC 2007: 1722-1727 - [c12]Yu Sun, Prashant G. Mehta:
Fundamental performance limitations via entropy estimates with hidden Markov models. CDC 2007: 3982-3988 - 2006
- [j1]Andrzej Banaszuk, Prashant G. Mehta, Clas A. Jacobson, Alexander I. Khibnik:
Limits of achievable performance of controlled combustion processes. IEEE Trans. Control. Syst. Technol. 14(5): 881-895 (2006) - [c11]Prashant G. Mehta, Mihai Dorobantu, Andrzej Banaszuk:
Graph based multi-scale analysis of building system transport models. ACC 2006 - [c10]Tansu Alpcan, Prashant G. Mehta, Tamer Basar, Umesh Vaidya:
Control of Non-Equilibrium Dynamics in Communication Networks. CDC 2006: 5216-5221 - [c9]Prashant G. Mehta, Umesh Vaidya, Andrzej Banaszuk:
Markov Chains, Entropy, and Fundamental Limitations in Nonlinear Stabilization. CDC 2006: 5222-5227 - [c8]Umesh Vaidya, Prashant G. Mehta:
Computation of Lyapunov measure for almost everywhere stability. CDC 2006: 5228-5233 - 2005
- [c7]Prashant G. Mehta, Umesh Vaidya:
On Stochastic Analysis Approaches for Comparing Complex Systems. CDC/ECC 2005: 8082-8087 - 2004
- [c6]Prashant G. Mehta, Marios C. Soteriou, Andrzej Banaszuk:
Distributed control-oriented modeling of thermoacoustic dynamics in a duct. ACC 2004: 5692-5697 - [c5]Andrzej Banaszuk, Prashant G. Mehta, Igor Mezic:
Spectral balance: a frequency domain framework for analysis of nonlinear dynamical systems. CDC 2004: 2244-2249 - 2003
- [c4]Gregory Hagen, Prashant G. Mehta:
On steady solutions of a PDE model of compressor stall. CDC 2003: 1848-1853 - [c3]Prashant G. Mehta, Marios C. Soteriou, Andrzej Banaszuk, Igor Mezic:
Fuel control of a ducted bluffbody flame. CDC 2003: 2340-2345 - [c2]Andrzej Banaszuk, Prashant G. Mehta, Gregory Hagen, Jesper Oppelstrup:
A linear model for control of thermoacoustic instabilities on annular domain. CDC 2003: 2346-2351 - 2001
- [c1]Prashant G. Mehta, Andrzej Banaszuk:
On the identification of a nonlinear function in a feedback loop. CDC 2001: 4320-4325
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-12 21:01 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
