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Kumar, S., Narasimhan, K., Patwardhan, S.C., Prasad, V. , "Extensions to Experiment Design and Identification Algorithms for Large-scale and Stochastic Processes", Int. J. Advanced Mechatronic Systems, vol. 3, issue 1, pp. 3-13, 2011  .
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Manuja, S., Narasimhan, S., Patwardhan, S. , "Fault diagnosis and fault tolerant control using reduced order models", Canadian Journal of Chemical Engineering, vol. 86, issue 4, pp. 791 - 803, 2008///. DOI
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Patwardhan, S.C., Manuja, S., Narasimhan, S., Shah, S.L. , "From data to diagnosis and control using generalized orthonormal basis filters. Part II: Model predictive and fault tolerant control", Journal of Process Control, vol. 16, issue 2, pp. 157 - 175, 2006///. DOI
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I
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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Deshpande, A., Patwardhan, S.C., Narasimhan, S. , "Intelligent State Estimation for Fault Tolerant Nonlinear Model Predictive Control", Journal of Process Control, vol. 19, pp. 187-204, 2009  . DOI
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Deshpande, A., Patwardhan, S.C., Narasimhan, S. , "Integrating fault diagnosis with nonlinear model predictive control", Lecture Notes in Control and Information Sciences, vol. 358, issue 1, pp. 513 - 521, 2007///. DOI
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Prakash, J., Narasimhan, S., Patwardhan, S.C. , "Integrating model based fault diagnosis with model predictive control", Industrial and Engineering Chemistry Research, vol. 44, issue 12, pp. 4344 - 4360, 2005///. DOI
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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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N
Prakash, J., Gopaluni, R.B., Patwardhan, S.C., Narasimhan, S., Shah, S.L. , "Nonlinear Bayesian State Estimation: Review And Recent Trends", Proc. of International Symposium on Advanced Control of Industrial Processes ADCONIP 2011, Hangzhou, China, 23/05/2011.
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U
Manuja, S., Narasimhan, S., Patwardhan, S.C. , "Unknown input modeling and robust fault diagnosis using black box observers", Journal of Process Control, vol. 19, issue 1, pp. 25 - 37, 2009///. DOI
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