Aditya Tulsyan

发表

Error analysis in Bayesian identification of non-linear state-space models

Biao Huang, R. Bhushan Gopaluni, J. Fraser Forbes, 2013 .

Univariate Model-Based Deadband Alarm Design for Nonlinear Processes

R. Bhushan Gopaluni, Aditya Tulsyan, R. B. Gopaluni, 2019, Industrial & Engineering Chemistry Research.

A Particle Filter Approach to Approximate Posterior Cramer-Rao Lower Bound: The Case of Hidden States

Biao Huang, R. Bhushan Gopaluni, J. Fraser Forbes, 2013, IEEE Transactions on Aerospace and Electronic Systems.

Machine-learning for biopharmaceutical batch process monitoring with limited data

Cenk Undey, Aditya Tulsyan, Christopher Garvin, 2018 .

Product Attribute Forecast: Adaptive Model Selection Using Real-Time Machine Learning

Tony Wang, Cenk Undey, Aditya Tulsyan, 2018 .

State Inference and Bayesian Identification of Non-linear State-space Models

Aditya Tulsyan, 2013 .

A switching strategy for adaptive state estimation

Biao Huang, R. Bhushan Gopaluni, J. Fraser Forbes, 2018, Signal Process..

State-of-charge estimation in lithium-ion batteries: A particle filter approach

Richard D. Braatz, R. Bhushan Gopaluni, Aditya Tulsyan, 2016 .

Industrial batch process monitoring with limited data

Cenk Undey, Aditya Tulsyan, Christopher Garvin, 2019, Journal of Process Control.

Pattern and Knowledge Extraction using Process Data Analytics: A Tutorial

Qiugang Lu, Aditya Tulsyan, Bhushan Gopaluni, 2018 .

A machine‐learning approach to calibrate generic Raman models for real‐time monitoring of cell culture processes

Cenk Undey, Aditya Tulsyan, Myra Coufal, 2019, Biotechnology and bioengineering.

On-line Bayesian parameter estimation in general non-linear state-space models: A tutorial and new results

Biao Huang, R. Bhushan Gopaluni, J. Fraser Forbes, 2013, 1307.3490.

Robust model-based delay timer alarm for non-linear processes

R. Bhushan Gopaluni, Aditya Tulsyan, 2016, 2016 American Control Conference (ACC).

Automatic real‐time calibration, assessment, and maintenance of generic Raman models for online monitoring of cell culture processes

Cenk Undey, Aditya Tulsyan, Myra Coufal, 2020, Biotechnology and bioengineering.

PERKS: Software for Parameter Estimation in Reaction Kinetic Systems

Paul I. Barton, Aditya Tulsyan, P. I. Barton, 2016 .

Advances in industrial biopharmaceutical batch process monitoring: Machine‐learning methods for small data problems

Aditya Tulsyan, Christopher Garvin, Cenk Ündey, 2018, Biotechnology and bioengineering.

Design and assessment of delay timer alarm systems for nonlinear chemical processes

R. Bhushan Gopaluni, Aditya Tulsyan, R. B. Gopaluni, 2018 .

Particle filtering without tears: A primer for beginners

R. Bhushan Gopaluni, Aditya Tulsyan, R. B. Gopaluni, 2016, Comput. Chem. Eng..

Deep Reinforcement Learning for Process Control: A Primer for Beginners pdf

R. Bhushan Gopaluni, Philip D. Loewen, Aditya Tulsyan, 2020, ArXiv.

Estimation and identification in batch processes with particle filters

Fei Liu, Biao Huang, Aditya Tulsyan, 2019, Journal of Process Control.

A Deep Learning Architecture for Predictive Control

Philip D. Loewen, Aditya Tulsyan, Bhushan Gopaluni, 2018 .

Designing priors for robust Bayesian optimal experimental design

Biao Huang, J. Fraser Forbes, Aditya Tulsyan, 2012 .

Deep Reinforcement Learning for Process Control: A Primer for Beginners

R. Bhushan Gopaluni, Philip D. Loewen, Aditya Tulsyan, 2019, AIChE Journal.

Assessment of type II diabetes mellitus using irregularly sampled measurements with missing data

Aditya Tulsyan, Bhushan Gopaluni, Ezra Kwok, 2014, Bioprocess and Biosystems Engineering.

Interval enclosures for reachable sets of chemical kinetic flow systems. Part 3: Indirect-bounding method

Paul I. Barton, Aditya Tulsyan, P. I. Barton, 2017 .

Reachability-based fault detection method for uncertain chemical flow reactors

Paul I. Barton, Aditya Tulsyan, P. I. Barton, 2016 .

A particle filter approach to approximate posterior Cram\'er-Rao lower bound

Biao Huang, R. Bhushan Gopaluni, J. Fraser Forbes, 2013, 1307.3283.

On simultaneous on-line state and parameter estimation in non-linear state-space models

Biao Huang, R. Bhushan Gopaluni, J. Fraser Forbes, 2013 .

Multiple model approach to nonlinear system identification with an uncertain scheduling variable using EM algorithm

Biao Huang, Fei Liu, Aditya Tulsyan, 2013 .

Bayesian identification of non-linear state-space models: Part I- Input design

Biao Huang, R. Bhushan Gopaluni, J. Fraser Forbes, 2013 .

Interval enclosures for reachable sets of chemical kinetic flow systems. Part 1: Sparse transformation

Paul I. Barton, Aditya Tulsyan, P. I. Barton, 2017 .