| Mixture robust semi-supervised probabilistic principal component regression with missing input data A Memarian, SK Varanasi, B Huang Chemometrics and Intelligent Laboratory Systems 214, 104315, 2021 | 22 | 2021 |
| Nuclear norm subspace identification of continuous time state–space models with missing outputs SK Varanasi, P Jampana Control Engineering Practice 95, 104239, 2020 | 15 | 2020 |
| Kalman Filter-Based Convolutional Neural Network for Robust Tracking of Froth-Middling Interface in a Primary Separation Vessel in Presence of Occlusions F Amjad, SK Varanasi, B Huang IEEE Transactions on Instrumentation and Measurement 70, 1-8, 2021 | 8 | 2021 |
| Parameter Estimation and Model Order Identification of LTI Systems SK Varanasi, P Jampana IFAC-PapersOnLine 49 (7), 1002-1007, 2016 | 7 | 2016 |
| Sparsity constrained wavelet neural networks for robust soft sensor design with application to the industrial KIVCET unit SK Varanasi, A Daemi, B Huang, G Slot, P Majoko Computers & Chemical Engineering 159, 107695, 2022 | 6 | 2022 |
| Sparse inverse covariance estimation for causal inference in process data analytics AS Sundaramoorthy, SK Varanasi, B Huang, Y Ma, H Zhang, D Wang IEEE Transactions on Control Systems Technology 30 (3), 1268-1280, 2021 | 6 | 2021 |
| Sparse optimization for image reconstruction in Electrical Impedance Tomography SK Varanasi, C Manchikatla, VG Polisetty, P Jampana IFAC-PapersOnLine 52 (1), 34-39, 2019 | 5 | 2019 |
| Smart optimization with PPCR modeling in the presence of missing data, time delay and model-plant mismatch A Memarian, SK Varanasi, B Huang, G Slot Chemometrics and Intelligent Laboratory Systems 237, 104812, 2023 | 4 | 2023 |
| Distributed Process Monitoring for Multi-Agent Systems Through Cognitive Learning H Chen, O Dogru, SK Varanasi, X Yin, B Huang IEEE Transactions on Cognitive and Developmental Systems, 2022 | 4 | 2022 |
| Data-driven self-optimization of processes in the presence of the model-plant mismatch A Memarian, SK Varanasi, B Huang IFAC-PapersOnLine 55 (7), 532-537, 2022 | 4 | 2022 |
| Identification of parsimonious continuous time LTI models with applications SK Varanasi, P Jampana Journal of Process Control 69, 128-137, 2018 | 4 | 2018 |
| Stochastic state-feedback control using homotopy optimization and particle filtering VG Polisetty, SK Varanasi, P Jampana International Journal of Dynamics and Control 10 (3), 942-955, 2022 | 3 | 2022 |
| Sparsity Constrained Reconstruction for Electrical Impedance Tomography GT Theertham, SK Varanasi, P Jampana IFAC-PapersOnLine 53 (2), 355-360, 2020 | 3 | 2020 |
| Comparative Study of Parsimonious NARX Models for Three Phase Separator SK Varanasi, SV Tirumalaraju, P Jampana 2019 Fifth Indian Control Conference (ICC), 430-435, 2019 | 3 | 2019 |
| Minimum attention stochastic control with homotopy optimization SK Varanasi, P Jampana, CP Vyasarayani International Journal of Dynamics and Control 9, 266-274, 2021 | 2 | 2021 |
| Error Bounds for Identification of a Class of Continuous LTI Systems VG Polisetty, SK Varanasi, P Jampana IFAC-PapersOnLine 52 (1), 418-423, 2019 | 2 | 2019 |
| MPC Model-Plant-Mismatch Detection Through Slow Feature Analysis Preprocessing with Industrial Application C Dyson, SK Varanasi, G Slot, P Majoko, B Huang 2022 IEEE International Symposium on Advanced Control of Industrial …, 2022 | 1 | 2022 |
| Nuclear Norm Subspace Identification Of Continuous Time State-Space Models SK Varanasi, P Jampana IFAC-PapersOnLine 51 (1), 530-535, 2018 | 1 | 2018 |
| Convergence of Particle Filter for Output Feedback Control VG Polisetty, SK Varanasi, P Jampana 2020 European Control Conference (ECC), 1745-1750, 2020 | | 2020 |
| Input design for continuous time output error models SK Varanasi, C Manchikatla, P Jampana Industrial & Engineering Chemistry Research 58 (26), 11175-11186, 2019 | | 2019 |
Phanindra JampanaAssociate Professor IIT HyderabadVerified email at che.iith.ac.in
