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Costas Kravaris
Costas Kravaris
Professor of Chemical Engineering, Texas A&M University
Verified email at tamu.edu
Title
Cited by
Year
Developing a hybrid model of a biochemical fermentation process
C Kravaris, J Kwon, P Shah, MZ Sheriff, MSF Bangi, C Botre, J Hirota
US Patent App. 18/037,296, 2024
2024
Model-Based Fault Diagnosis for Safety-Critical Chemical Reactors: An Experimental Study
P Du, B Wilhite, C Kravaris
2023 AIChE Annual Meeting, 2023
2023
Design of linear unknown input observers for sensor fault estimation in nonlinear systems
S Venkateswaran, C Kravaris
Automatica 155, 111152, 2023
12023
Model-Based Fault Diagnosis and Fault Tolerant Control for Safety-Critical Chemical Reactors: A Case Study of an Exothermic Continuous Stirred-Tank Reactor
P Du, JA Venkidasalapathy, S Venkateswaran, B Wilhite, C Kravaris
Industrial & Engineering Chemistry Research 62 (34), 13554-13571, 2023
2023
Disturbance decoupled functional observers for fault estimation in nonlinear systems
S Venkateswaran, C Kravaris
arXiv preprint arXiv:2307.09359, 2023
12023
Bayesian-optimized Gaussian process-based fault classification in industrial processes
N Basha, C Kravaris, H Nounou, M Nounou
Computers & Chemical Engineering 170, 108126, 2023
92023
Multi‐rate observer design and optimal control to maximize productivity of an industry‐scale fermentation process
P Shah, MZ Sheriff, MSF Bangi, C Kravaris, JSI Kwon, C Botre, J Hirota
AIChE Journal 69 (2), e17946, 2023
182023
Linear unknown input observers for sensor fault estimation in nonlinear systems
S Venkateswaran, C Kravaris
IFAC-PapersOnLine 56 (1), 61-66, 2023
52023
Disturbance Decoupled Functional Observers for Simultaneous Fault Detection and Estimation in Nonlinear Systems
C Kravaris, S Venkateswaran, B Wilhite
2022 AIChE Annual Meeting, 2022
2022
Closed-Loop Optimal Control Operation of an Industry-Scale Bioreactor and Experimental Validation
P Shah, MZ Sheriff, MSF Bangi, J Kwon, C Kravaris, C Botre, J Hirota
2022 AIChE Annual Meeting, 2022
2022
Model-Based Fault Diagnosis and Fault Tolerant Control for Safety-Critical Chemical Reactors
P Du, JA Venkidasalapathy, S Venkateswaran, B Wilhite, C Kravaris
2022 AIChE Annual Meeting, 2022
2022
Functional observers with linear error dynamics for discrete-time nonlinear systems
S Venkateswaran, BA Wilhite, C Kravaris
Automatica 143, 110420, 2022
52022
An operating economics-driven perspective on monitoring and maintenance in multiple operating regimes: Application to monitor fouling in heat exchangers
MZ Sheriff, MN Karim, C Kravaris, HN Nounou, MN Nounou
Chemical Engineering Research and Design 184, 233-245, 2022
42022
Deep neural network-based hybrid modeling and experimental validation for an industry-scale fermentation process: Identification of time-varying dependencies among parameters
P Shah, MZ Sheriff, MSF Bangi, C Kravaris, JSI Kwon, C Botre, J Hirota
Chemical Engineering Journal 441, 135643, 2022
572022
Hidden Markov model based fault diagnoser using binary alarm signals with an analysis on distinguishability
JA Venkidasalapathy, C Kravaris
Computers & Chemical Engineering 160, 107689, 2022
42022
Design of linear residual generators for fault detection and isolation in nonlinear systems
S Venkateswaran, Q Liu, BA Wilhite, C Kravaris
International Journal of Control 95 (3), 804-820, 2022
132022
A framework to identify and respond to weak signals of disastrous process incidents based on FRAM and machine learning techniques
M Yu, H Pasman, M Erraguntla, N Quddus, C Kravaris
Process Safety and Environmental Protection 158, 98-114, 2022
142022
Deep neural network-based hybrid modeling and experimental validation for a full-scale bio-fermentation process: Identification of time-varying dependencies among parameters
P Shah, Z Sheriff, MSF Bangi, J Kwon, C Kravaris, C Botre, J Hirota
Available at SSRN 3978852, 2022
22022
Design of functional observers for fault detection and isolation in nonlinear systems in the presence of noises
S Venkateswaran, MZ Sheriff, B Wilhite, C Kravaris
Journal of Process Control 108, 68-85, 2021
62021
Data Clustering-Based Hybrid-Kinetic Model of an Industrial-Scale Biochemical Fermenter
P Shah, MZ Sheriff, MSF Bangi, J Kwon, C Kravaris
2021 AIChE Annual Meeting, 2021
2021
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