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2010
Deshpande, S., Patwardhan, S.C., Methekar, R., Rengaswamy, R. , "Development of a closed form nonlinear predictive control law based on a class of wiener models", Industrial and Engineering Chemistry Research, vol. 49, issue 1, pp. 148 - 165, 2010///. DOI
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Prakash, J., Patwardhan, S.C., Shah, S.L. , "State estimation and nonlinear predictive control of autonomous hybrid system using derivative free state estimators", Journal of Process Control, vol. 20, pp. 787-799, 2010. DOI
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Prakash, J., Patwardhan, S.C., Shah, S.L. , "State estimation and nonlinear predictive control of autonomous hybrid system using derivative free state estimators", Journal of Process Control, vol. 20, pp. 787-799, 2010. DOI
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2009
Deshpande, A.P., Patwardhan, S.C., Narasimhan, S.S. , "Intelligent state estimation for fault tolerant nonlinear predictive control", Journal of Process Control, vol. 19, issue 2, pp. 187 - 204, 2009///. DOI
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2007
Srinivasarao, M., Patwardhan, S.C., Gudi, R.D. , "Nonlinear predictive control of irregularly sampled multirate systems using blackbox observers", Journal of Process Control, vol. 17, issue 1, pp. 17 - 35, 2007///. DOI
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2006
Srinivasarao, M., Patwardhan, S.C., Gudi, R.D. , "From data to nonlinear predictive control. 2. Improving regulatory performance using identified observers", Industrial and Engineering Chemistry Research, vol. 45, issue 10, pp. 3593 - 3603, 2006///. DOI
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Srinivasarao, M., Patwardhan, S.C., Gudi, R.D. , "From data to nonlinear predictive control. 1. Identification of multivariable nonlinear state observers", Industrial and Engineering Chemistry Research, vol. 45, issue 6, pp. 1989 - 2001, 2006///. DOI
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Padhiyar, N., Gupta, A., Gautam, A., Bhartiya, S., Doyle III, F.J., Dash, S., Gaikwad, S. , "Nonlinear inferential multi-rate control of Kappa number at multiple locations in a continuous pulp digester", Journal of Process Control, vol. 16, issue 10, pp. 1037 - 1053, 2006///. DOI
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0
Deshpande, A.P., Patwardhan, S.C., Narasimhan, S.S. , "Intelligent state estimation for fault tolerant nonlinear predictive control", Journal of Process Control. DOI
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