Research Papers

International Journal

  1. N.Sivakumaran and T.KRadhakrishnan, “Modeling and Control of Multivariable Processes using Recurrent Neural Networks”, Int. Journal of Modeling and Simulation, ACTA Press (Accepted).
  2. R.Viknesh, N.Sivakumaran, J.Sarat chandra babu and T.KRadhakrishnan, “A Critical study of Decentralized controllers for Multivariable system”, Chemical Engineering and Technology (Wiley-VCH), 27(8) 880-889, 2004.
  3. A.Siddique, M.R.Jayashree, O.Muthukumar and N.Sivakumaran, “Control of pressure process using infineon microcontroller”, Sensors and Transducers, 80(7), pp.1373-1380.
  4. N.Sivakumaran, J.Sarat chandra babu,, T.K.Radhakrishnan, ‘Identification and Control of Bioreactor using Recurrent Networks, Instrumentation Science & Technology, Taylor & Francis, 34(6),pp 635-652,2006.
  5. S.Nagammai, N. Sivakumaran and T.K.Radhakrishnan, ‘Control System Design for a Neutralization Process using Block Oriented Models’, Instrumentation Science & Technology, Taylor & Francis, 34(6), pp 653-668,2006.
  6. N. Sivakumaran, and T.K.Radhakrishnan, “Control of Neutralization process using block oriented models”, ISA Transactions, Elsevier (Under Review).
  7. N.Sivakumaran and T.K Radhakrishnan, “Model Predictive Control for Nonlinear Chemical Processes using Recurrent Neural Networks” Control Engineering Practices, Elsevier (Under Review).

International Conferences

  1. N.Sivakumaran, G.Balasubramanian, D.Kesavan and T.K.Radhakrishnan, “Control of Neutralization Process using Adaptive Interaction Technique” CITICOMS07, T2ME150.
  2. N.Sivakumaran, V.Kirubakaran, and T.K.Radhakrishnan, “Neural Model Predictive Controller for Multivariable Process”, Proceedings of the IEEE International Conference on Industrial Technology 2006 (ICIT 2006), Paper No. 6327, IIT, Mumbai, pp.3072-3077.
  3. N.Sivakumaran, S.Nagammai, P.Karthikeyan and T.K. Radhakrishnan,“Control of Neutralization Process Using Neural Networks”, Proceedings of the International Conference on Modeling and Simulation 2006 (MS 2006), Paper No. 192, 852-858, 2006, Kuala Lumpur, Malaysia.
  4. N.Sivakumaran, V.Kirubakaran, and T.K.Radhakrishnan, “Modeling and Robust Controller Design for Multivariable Process”, Proceedings of the International Conference on Modeling and Simulation 2006 (MS 2006), Paper No. 193, 863-868, 3-5 April 2006, Kuala Lumpur, Malaysia.
  5. N. Sivakumaran, B.H. Deepak Kumar, J.Sarat chandra babu, and T.K.Radhakrishnan, “Model Based Predictive Control Using Recurrent Neural Network For Bioreactor Control”, International Conference on Trends in Industrial Measurements and Automation, Dec16-18 2004,pp281-286, Chennai, India.

National Journals

  1. N.Sivakumaran and T.K.Radhakrishnan, “Predictive controller Design for Nonlinear Chemical Processes” Indian Journal of Chemical Technology, 14(4), July2007, pp.341-349.
  2. Boopathy, N.Sivakumaran, J. Sarat chandra babu and T.K Radhakrishnan, “Identification and Control of Four tank system using Neural Networks plant inverse controller”, Journal of Instrument Society of India, 35(2) 2005,pp179-185.
  3. N. Sivakumaran, V.Kirubakaran and T.K.Radhakrishnan, “Robust Controller for a Non -Minimum Multivariable process”, Indian Journal of Chemical Technology (Communicated).

National Conferences

  1. N. Sivakumaran and T.K.Radhakrishnan, ‘Control of Neutralization Process Using Recurrent Neural Networks’, Paper No. 721, Presented at CHEMCON 2006,Gujarat, Dec. 26-29, 2006.
  2. N. Sivakumaran, J.Sarat Chandra Babu, and T.K.Radhakrishnan, “Control of Bioreactors using Recurrent Networks”, NCPICD05, MIT, Dec 2005,pp258-334.
  3. N. Sivakumaran, V.Kirubakaran, J.Sarat chandra babu, and T.K.Radhakrishnan, “Decentralized controller design for Multivariable process”, ICECON05, NIT, Dec 2005, pp 64-70.
  4. N. Sivakumaran, T. Venkatesh, S. Nagammai and T.K. Radhakrishnan, “Nonlinear Control of a Neutralization Process”, Proc. of NCICCA2005, AKCE, Krishnankoil, April 2005, pp393-399.
  5. N. Sivakumaran, J.Sarat chandra babu, and T.K.Radhakrishnan, “Control of Multivariable Non Minimum Phase system using Recurrent Neural Networks”, Proc. of CHEMCON, Dec 2004, Mumbai, India.