Hariprasad Kodamana

发表

Adaptive robust model predictive control of nonlinear systems using tubes based on interval inclusions

Sharad Bhartiya, Hariprasad Kodamana, 2014, 53rd IEEE Conference on Decision and Control.

An Augmented Model Approach for Identification of Nonlinear Errors-in-Variables Systems Using the EM Algorithm

Yongsheng Ding, Fan Guo, Biao Huang, 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Identification of nonlinear errors-in-variables systems in state-space form: A linear parameter varying approach

Juan Li, Biao Huang, J. Fraser Forbes, 2017, 2017 11th Asian Control Conference (ASCC).

Real-Time Mode Diagnosis for Processes With Multiple Operating Conditions Using Switching Conditional Random Fields

Biao Huang, Hariprasad Kodamana, Mengqi Fang, 2020, IEEE Transactions on Industrial Electronics.

Robust soft sensor development using multi-rate measurements

Biao Huang, Nabil Magbool Jan, Ruomu Tan, 2017 .

Switching Conditional Random Field Approach to Process Operating Mode Diagnosis for Multi-Modal Processes

Biao Huang, Hariprasad Kodamana, Mengqi Fang, 2018, 2018 IEEE Conference on Decision and Control (CDC).

A novel approach to process operating mode diagnosis using conditional random fields in the presence of missing data

Biao Huang, Nima Sammaknejad, Hariprasad Kodamana, 2018, Comput. Chem. Eng..

Robust Identification of Nonlinear Errors-in-Variables Systems With Parameter Uncertainties Using Variational Bayesian Approach

Yongsheng Ding, Fan Guo, Biao Huang, 2017, IEEE Transactions on Industrial Informatics.

Robust Identification of Switching Markov ARX Models Using EM Algorithm

Biao Huang, Hariprasad Kodamana, Lei Fan, 2017 .

Dynamic prediction of interface level using spatial temporal markov random field

Biao Huang, Artin Afacan, Hariprasad Kodamana, 2019, Comput. Chem. Eng..

Predicting Young's modulus of oxide glasses with sparse datasets using machine learning

Mathieu Bauchy, Nitya Nand Gosvami, N. M. Anoop Krishnan, 2019, Journal of Non-Crystalline Solids.

An Efficient and Stabilizing Model Predictive Control of Switched Systems

Sharad Bhartiya, Hariprasad Kodamana, H. Kodamana, 2017, IEEE Transactions on Automatic Control.

Approaches to robust process identification: A review and tutorial of probabilistic methods

Nima Sammaknejad, Ruomu Tan, Hariprasad Kodamana, 2018, Journal of Process Control.

Minimum Variance Bound and Minimum Variance Controller for Convex Nonlinear Systems with Input Constraints

Biao Huang, Yousef Alipouri, Hariprasad Kodamana, 2018 .

Optimal strategies for transitions in simulated moving bed chromatography

Sharad Bhartiya, Hariprasad Kodamana, Pratik Athawale, 2016, Comput. Chem. Eng..

Semi‐supervised dynamic latent variable modeling: I/O probabilistic slow feature analysis approach

Biao Huang, Hariprasad Kodamana, Lei Fan, 2018, AIChE Journal.

Process monitoring using a generalized probabilistic linear latent variable model

Biao Huang, Hariprasad Kodamana, Rahul Raveendran, 2018, Autom..

Identification of robust probabilistic slow feature regression model for process data contaminated with outliers

Biao Huang, Hariprasad Kodamana, Lei Fan, 2018 .

Mixtures of Probabilistic PCA With Common Structure Latent Bases for Process Monitoring

Biao Huang, Hariprasad Kodamana, Rahul Raveendran, 2019, IEEE Transactions on Control Systems Technology.

A Deep Learning Framework for the Detection of Tropical Cyclones From Satellite Images

Hariprasad Kodamana, Viju O. John, Aravind Nair, 2022, IEEE Geoscience and Remote Sensing Letters.

Application of machine learning in understanding plant virus pathogenesis: trends and perspectives on emergence, diagnosis, host-virus interplay and management pdf

Hariprasad Kodamana, Dibyendu Ghosh, Srija Chakraborty, 2021, Virology Journal.

Twin actor twin delayed deep deterministic policy gradient (TATD3) learning for batch process control

Harikumar Kandath, Hariprasad Kodamana, Tanuja Joshi, 2021, Comput. Chem. Eng..

Prediction of ENSO Beyond Spring Predictability Barrier Using Deep Convolutional LSTM Networks

Hariprasad Kodamana, Mayuna Gupta, S. Sandeep, 2022, IEEE Geoscience and Remote Sensing Letters.

Application of twin delayed deep deterministic policy gradient learning for the control of transesterification process pdf

Harikumar Kandath, Hariprasad Kodamana, Tanuja Joshi, 2021, ArXiv.

Hierarchical two-tier optimization framework for the optimal operation of a network of Hybrid Renewable Energy Systems

Manojkumar Ramteke, Hariprasad Kodamana, Devansh Agrawal, 2021 .

A Deep Learning Framework for the Detection of Tropical Cyclones from Satellite Images

Hariprasad Kodamana, Sayali Kulkarni, Navya Jain, 2021 .

Multi-objective Optimization Based Recursive Feature Elimination for Process Monitoring

Manojkumar Ramteke, Hariprasad Kodamana, Anubha Agrawal, 2021, Neural Processing Letters.

Deep learning aided rational design of oxide glasses

Jayadeva, Mathieu Bauchy, N. M. Anoop Krishnan, 2019, Materials Horizons.