| 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 | 311 | 2011 |
| Stochastic nonlinear model predictive control with joint chance constraints VA Bavdekar, A Mesbah IFAC-PapersOnLine 49 (18), 270-275, 2016 | 27 | 2016 |
| 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 | 23 | 2016 |
| 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 | 23 | 2012 |
| Stochastic model predictive control with integrated experiment design for nonlinear systems VA Bavdekar, A Mesbah IFAC-PapersOnLine 49 (7), 49-54, 2016 | 15 | 2016 |
| 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 | 15 | 2013 |
| 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 | 14 | 2013 |
| 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 | 11 | 2016 |
| 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 | 11 | 2013 |
| 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 | 10 | 2014 |
| 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 | 9 | 2014 |
| 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 | 7 | 2012 |
| 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 | 7 | 2011 |
| 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 | 6 | 2010 |
| 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 | 4 | 2016 |
| 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 | 4 | 2015 |
| Identification of Noise Covariances for State Estimation of Autonomous Hybrid Systems VA Bavdekar, SC Patwardhan IFAC Proceedings Volumes 44 (1), 9097-9102, 2011 | 3 | 2011 |
| 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 | 2 | 2007 |
| Sample-Free Stochastic Nonlinear Model Predictive Control J Paulson, V Bavdekar, A Mesbah 2017 AIChE Annual Meeting, 2017 | | 2017 |
| Stochastic Model Predictive Control with Integrated Experiment Design for Nonlinear VA Bavdekar, A Mesbah IFAC-PapersOnLine, 49 (7), 2016 | | 2016 |
Ali MesbahUniversity of California, BerkeleyVerified email at berkeley.edu
