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Vinay Bavdekar
Vinay Bavdekar
Department of Chemical and Biomolecular Engineering, University of California, Berkeley
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Identification of process and measurement noise covariance for state and parameter estimation using extended Kalman filter
VA Bavdekar, AP Deshpande, SC Patwardhan
Journal of Process control 21 (4), 585-601, 2011
2692011
Stochastic nonlinear model predictive control with joint chance constraints
VA Bavdekar, A Mesbah
IFAC-PapersOnLine 49 (18), 270-275, 2016
242016
A polynomial chaos-based nonlinear Bayesian approach for estimating state and parameter probability distribution functions
VA Bavdekar, A Mesbah
2016 American Control Conference (ACC), 2047-2052, 2016
232016
An ensemble Kalman filter for systems governed by differential algebraic equations (DAEs)
Y Puranik, VA Bavdekar, SC Patwardhan, SL Shah
IFAC Proceedings Volumes 45 (15), 531-536, 2012
182012
Constrained dual ensemble Kalman filter for state and parameter estimation
VA Bavdekar, J Prakash, SL Shah, RB Gopaluni
2013 American Control Conference, 3093-3098, 2013
142013
Stochastic model predictive control with integrated experiment design for nonlinear systems
VA Bavdekar, A Mesbah
IFAC-PapersOnLine 49 (7), 49-54, 2016
132016
Evaluation of adaptive extended Kalman filter algorithms for state estimation in presence of model-plant mismatch
VA Bavdekar, RB Gopaluni, SL Shah
IFAC Proceedings Volumes 46 (32), 184-189, 2013
132013
Computing point estimates from a non-Gaussian posterior distribution using a probabilistic k-means clustering approach
VA Bavdekar, SL Shah
Journal of Process Control 24 (2), 487-497, 2014
102014
A comparison of moving horizon and bayesian state estimators with an application to a ph process
VA Bavdekar, RB Gopaluni, SL Shah
IFAC Proceedings Volumes 46 (32), 160-165, 2013
102013
A moving window formulation for recursive Bayesian state estimation of systems with irregularly sampled and variable delays in measurements
VA Bavdekar, J Prakash, SC Patwardhan, SL Shah
Industrial & Engineering Chemistry Research 53 (35), 13750-13763, 2014
92014
Stochastic predictive control with adaptive model maintenance
VA Bavdekar, V Ehlinger, D Gidon, A Mesbah
2016 IEEE 55th Conference on Decision and Control (CDC), 2745-2750, 2016
62016
Moving window ensemble Kalman filter for delayed and multi-rate measurements
VA Bavdekar, J Prakash, SC Patwardhan, SL Shah
IFAC Proceedings Volumes 44 (1), 11997-12002, 2011
62011
Development of grey box state estimators for systems subjected to time correlated unmeasured disturbances
VA Bavdekar, SC Patwardhan
Journal of Process Control 22 (9), 1543-1558, 2012
52012
Identification of noise covariances for state estimation of a continuous fermenter using extended EM algorithm
VA Bavdekar, SC Patwardhan
IFAC Proceedings Volumes 43 (5), 697-702, 2010
52010
Maximum likelihood estimation of noise covariance matrices for state estimation of autonomous hybrid systems
VA Bavdekar, NN Nandola, SC Patwardhan
Computers & Chemical Engineering 94, 28-44, 2016
42016
Multivariate data analysis of gas-metal arc welding process
R Ranjan, A Talati, M Ho, H Bharmal, VA Bavdekar, V Prasad, P Mendez
IFAC-PapersOnLine 48 (8), 463-468, 2015
42015
Identification of Noise Covariances for State Estimation of Autonomous Hybrid Systems
VA Bavdekar, SC Patwardhan
IFAC Proceedings Volumes 44 (1), 9097-9102, 2011
32011
Scaling and discrimination issues in monitoring, fault detection and diagnosis
SR Khare, VA Bavdekar, SC Kadu, KP Detroja, RD Gudi
IFAC Proceedings Volumes 40 (5), 297-302, 2007
22007
Sample-Free Stochastic Nonlinear Model Predictive Control
J Paulson, V Bavdekar, A Mesbah
2017 AIChE Annual Meeting, 2017
2017
Perspectives on State Estimation: Spot Estimates Versus Distributions
VA Bavdekar, SL Shah, SC Patwardhan
IFAC Proceedings Volumes 45 (15), 715-721, 2012
2012
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