1. Cohen, H., Rogers, G.F.C., and Saravanamuttoo, H.I.H., Gas Turbine Theory, 4th Edn., AddisonWesley Longman, Harlow, UK (1996). 2. Evans, C., Rees, D., and Borrell, A. Identi_cation of aircraft gas turbine dynamics using frequency-domain techniques", J. Control Eng. Practice, 8(4), pp. 457{ 467 (2000). 3. Asgari, H., Venturini, M., Chen, X., et al. Modeling and simulation of the transient behavior of an industrial power plant gas turbine", ASME J. Eng. Gas Turbines Power, 136(6), pp. 061601{10 (2014). 4. Hosseini, S.M., Fatehi, A., Khaki Sedigh, A., et al. Automatic model bank selection in multiple model identi_cation of gas turbine dynamics", J. Syst. Control Eng., 227(5), pp. 482{494 (2013). 5. Asgari, H., Venturini, M., Chen, X., et al. Modeling and simulation of the transient behavior of an industrial power plant gas turbine", ASME J. Eng. Gas Turbines Power, 136(6), p. 061601 (2014). 6. Asgari, H., Chen, X., Morini, M., et al. NARX models for simulation of the start-up operation of a singleshaft gas turbine", Applied Thermal Engineering, 93, pp. 368{376 (2016). 7. Benyounes, A., Hafaifa, A., Kouzou, A., et al. Gas turbine modeling using adaptive fuzzy neural network approach based on measured data classi_cation", Mathematics-in-Industry Case Studies, 7(1), pp. 4{18 (2017). 8. Mohammadi, E. and Montazeri-Gh, M. A new approach to the gray-box identi_cation of wiener models with the application of gas turbine engine modeling", ASME J. Eng. Gas Turbines Power, 137(7), p. 071202 (2015). 9. Bahrami, S., Gha_ari, A., Sadati, S.H., et al. Identifying a simpli_ed model for heavy duty gas turbine", J. Mech. Science Tech., 28(6), pp. 2399{2408 (2014). 10. Razak, A.M., Industrial Gas Turbines, Performance and Operability, Woodhead Publishing, London, UK (2007). 11. Cao, Y., Jin, X., Meng, G., et al. Computational modular model library of gas turbine", J. Adv. In Eng. Software, 36(2), pp. 127{134 (2005). 12. Schobeiri, T., Attia, M., and Lippke, C. GETRAN: A generic, modularly structured computer code for simulation of dynamic behavior of aero-and power generation gas turbine engines", ASME J. Eng. Gas Turbines Power, 116(3), pp. 483{494 (1994). 13. Panov, V. GasTurboLib: Simulink library for gas turbine engine modelling", In ASME Turbo Expo, Orlando, Florida USA, pp. 555{565 (2009). 14. Bianchi, M., Peretto, A., and Spina, P.R. Modular dynamic model of multi-shaft gas turbine and validation test", In Proc. Winter Annual Meeting of ASME, 38, AES, Anaheim, Calif, USA, pp. 73{81 (1998). 15. Chacartegui, R., Sanchez, D., Munoz, A., et al. Real time simulation of medium size gas turbines", J. Energy Conversion and Management, 52(1), pp. 713{ 724 (2011). 16. Camporeale, S.M., Fortunato, B., and Mastrovito, M. A modular code for real time dynamic simulation of gas turbines in Simulink", ASME J. Eng. Gas Turbines Power, 128(3), pp. 506{517 (2006). 17. Mohammadi, Z. and Salarieh, H. Parameter identi_- cation of a parametrically excited rate micro-gyroscope using recursive least squares method", Scientia Iranica, Transaction B, Mechanical Engineering, 24(4), pp. 1889{1900 (2017). 18. Kiani, M. and Pourtakdoust, S.H. Spacecraft attitude and system identi_cation via marginal modi_ed unscented Kalman _lter utilizing the sun and calibrated three-axis-magnetometer sensors", Scientia Iranica, Transaction B, Mechanical Engineering, 21(4), pp. 1451{1460 (2014). 19. Panov, V. Auto-tuning of real-time dynamic gas turbine models", In ASME Turbo Expo, Dusseldorf, Germany, p. V006T06A004 (2014). 20. Chaibakhsh, A. and Amirkhani, S. A simulation model for transient behavior of heavy-duty gas turbines", Applied Thermal Engineering, 132, pp. 115{ 127 (2018). 21. Simon, D., Optimal State Estimation, Kalman, H1, and Nonlinear Approaches, John Wiley & Sons, Inc., Hoboken, NJ (2006). 818 R. Sheikhbahaei et al./Scientia Iranica, Transactions B: Mechanical Engineering 27 (2020) 806{818 22. Litt, J.S. An optimal orthogonal decomposition method for Kalman _lter-based turbofan engine thrust estimation", ASME J. Eng. Gas Turbines Power, 130(1), 011601{1 (2008). 23. Simon, D.L. and Garg, S. Optimal tuner selection for Kalman _lter-based aircraft engine performance estimation", ASME J. Eng. Gas Turbines Power, 132(3), 031601{1 (2010). 24. Siemens, SGT-600 Industrial Gas Turbine, Siemens Industrial Turbomachinery, Inc., Duisburg, Germany (2005). 25. Strand, T., Industrial Gas Turbine Control, Siemens Power Generation, Siemens AG, Erlangen, Germany (2006). 26. Mackenzie, F.T., Our Changing Planet: An Introduction to Earth System Science and Global Environmental Change, 3rd Ed., Prentice Hall, NY, USA (2003). 27. Patai S. and Rappoport, Z., The Chemistry of Alkanes and Cycloalkanes, Wiley & Sons, Chichester, UK (1992). 28. Kee, R.J., Rupley, F.M., and Miller, J.A., The Chemkin Thermodynamic Database, SAND87-8215B, UC-4, Sandia National Laboratories (1987). 29. Fielding, D. and Topps, J.E.C., Thermodynamic Data for the Calculation of Gas Turbine Performance, Aeronautical Research Council, R&M, No. 3099 (1959). 30. El-Masri, M.A. GASCAN-An interactive code for thermal analysis of gas turbine systems", ASME J. Eng. Gas Turbines Power, 110(2), pp. 201{209 (1988). 31. Tabari, A., Khaledi, H., and Hajilouy Benisi, A. Comparative evaluation of advanced gas turbine cycles with modi_ed blade cooling models", In ASME Turbo Expo, Barcelona, Spain, pp. 537{546 (2006). 32. Rowen, W. Simpli_ed mathematical representations of heavy duty gas turbines", ASME J. Eng. Gas Turbines Power, 105(4), pp. 865{869 (1983). 33. SGT-600 Industrial gas turbine (power generation) published data, accessed at 2018, July 22, Retrieved from http://www.energy.siemens.com/ru/pool/hq/ power-generation/ gas-turbines/SGT-600/downloads/ SGT-600 GT PowerGen EN.pdf 34. Rey OCGT Power Plant, accessed at 2018 July 22, Retrieved from http://globalenergyobservatory. org/geoid/45024 35. Neyzar Natural Gas Compressor Station, accessed at 2018 July 22, Retrieved from http://tcproject. nigc.ir/Portal/Home/ShowPage.aspx?Object=NEWS &CategoryID=21d_668-6bec-4fd1-8430-81a194b7d9e2 &WebPartID=893aaf0b-0d62-4c3b-82bf-55098c09e804 &ID=47a415c7-908a-4297-ba13-cb8c7ca9ca8c