Department of Instrumentation Engineering, MIT campus, Anna University
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Nonlinear Bayesian state estimation: A review of recent developments
SC Patwardhan, S Narasimhan, P Jagadeesan, B Gopaluni, S L Shah
Control Engineering Practice 20 (10), 933-953, 2012
Design of nonlinear PID controller and nonlinear model predictive controller for a continuous stirred tank reactor
J Prakash, K Srinivasan
ISA transactions 48 (3), 273-282, 2009
A supervisory approach to fault-tolerant control of linear multivariable systems
J Prakash, SC Patwardhan, S Narasimhan
Industrial & engineering chemistry research 41 (9), 2270-2281, 2002
Design of observer based nonlinear model predictive controller for a continuous stirred tank reactor
J Prakash, R Senthil
Journal of Process Control 18 (5), 504-514, 2008
Integrating model based fault diagnosis with model predictive control
J Prakash, S Narasimhan, SC Patwardhan
Industrial & engineering chemistry research 44 (12), 4344-4360, 2005
State estimation and nonlinear predictive control of autonomous hybrid system using derivative free state estimators
J Prakash, SC Patwardhan, SL Shah
Journal of Process Control 20 (7), 787-799, 2010
Constrained nonlinear state estimation using ensemble Kalman filters
J Prakash, SC Patwardhan, SL Shah
Industrial & Engineering Chemistry Research 49 (5), 2242-2253, 2010
Nonlinear state estimation using fuzzy Kalman filter
R Senthil, K Janarthanan, J Prakash
Industrial & engineering chemistry research 45 (25), 8678-8688, 2006
A critical evaluation and experimental verification of Extended Kalman Filter, Unscented Kalman Filter and Neural State Filter for state estimation of three phase induction motor
S Kumar, J Prakash, P Kanagasabapathy
Applied Soft Computing 11 (3), 3199-3208, 2011
A comparison of simultaneous state and parameter estimation schemes for a continuous fermentor reactor
SB Chitralekha, J Prakash, H Raghavan, RB Gopaluni, SL Shah
Journal of Process Control 20 (8), 934-943, 2010
Practical issues in state estimation using particle filters: Case studies with polymer reactors
AV Shenoy, J Prakash, V Prasad, SL Shah, KB McAuley
Journal of Process Control 23 (2), 120-131, 2013
On the choice of importance distributions for unconstrained and constrained state estimation using particle filter
J Prakash, SC Patwardhan, SL Shah
Journal of Process Control 21 (1), 3-16, 2011
Fault detection and isolation of benchmark wind turbine using the likelihood ratio test
F Kiasi, J Prakash, S Shah, JM Lee
Proceedings of IFAC World Congress, 7079-7085, 2011
Recursive constrained state estimation using modified extended Kalman filter
J Prakash, B Huang, SL Shah
Computers & Chemical Engineering 65, 9-17, 2014
Constrained state estimation using the ensemble Kalman filter
J Prakash, SC Patwardhan, SL Shah
American Control Conference, 2008, 3542-3547, 2008
Detection and quantification of valve stiction by the method of unknown input estimation
SB Chitralekha, SL Shah, J Prakash
Journal of Process Control 20 (2), 206-216, 2010
State estimation of stochastic non-linear hybrid dynamic system using an interacting multiple model algorithm
M Elenchezhiyan, J Prakash
ISA transactions 58, 520-532, 2015
Constrained state estimation using particle filters
J Prakash, SC Patwardhan, SL Shah
oral presentation in IFAC-2008, 2008
State and fault parameter estimation applied to three tank bench mark system relying on augmented state Kalman filter
S Lincon, D Sivakumar, J Prakash
International Congress for Global Science and Technology-International …, 2007
Design and implementation of a model-based PI-like control scheme in a reset configuration for stable single-loop systems
ARPJ Prakash
The Canadian Journal of Chemical Engineering 92 (9), 1651-1660, 2014
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