NONE 20260709134519656 wseas/wseas content-registration-form@crossref.org content-registration-form International Journal of Electrical Engineering and Computer Science 2769-2507 Khalid Mustafa Control Engineering Department College of Electronic Technology Bani Walid Bani Walid LIBYA Abtihal Abdulqadir Control Engineering Department College of Electronic Technology Bani Walid Bani Walid LIBYA The Continuous Stirred Tank Reactor (CSTR) is one of the most important and central pieces of equipment in many chemical and biochemical industries. It exhibits complex nonlinear characteristics, and efficient control of the product concentration in a CSTR can be achieved only through an accurate model. Sometimes, conventional feedback controllers may not perform well online due to variations in process dynamics resulting from nonlinear actuators, changes in environmental conditions, and variations in the character of the disturbances. This paper presents the mathematical model of the CSTR and the design of a Model Reference Adaptive Control (MRAC) scheme using the MIT rule and the Lyapunov method for the adaptive mechanism. In addition, a comparative performance analysis of the two approaches for concentration control in a CSTR was conducted using MATLAB/Simulink. Finally, the simulation results showed that the MRAC using the MIT rule has better performance than the MRAC using the Lyapunov method. 07 09 2026 07 09 2026 19 2 https://creativecommons.org/licenses/by/4.0/deed.en_US 10.37394/232027.2026.8.2 https://wseas.com/journals/eeacs/2026/a04eeacs-002(2026).pdf W. Luyben, Chemical Reactor Design and Control, WIELY, 2007. V Rajinikanth and K Latha, Identification and control of unstable biochemical reactor, International Journal of Chemical Engineering and Applications, vol. 1, no. 1, June 2010. Gardiner, W. C, Jr., Rates and Mechanisms of Chemical Reactions, W. A. Benjamin, New York, 1969. Denbigh, K. G., Chemical Reactor Theory, p. 3, Cambridge University Press, Cambridge, 1965. V. Vishnoi, S. Padhee and a. G. Kaur, Controller Performance Evaluation for Concentration Control of Isothermal Continuous Stirred Tank Reactor, vol. 2, 2012. Himmelblau, D. M., and Bischoff, K. B., Process Analysis and Simulation, pp. 59-86, Wiley, New York, 1968. Levenspiel, O., Chemical Reaction Engineering, pp. 125 127, Second Edition, Wiley, New York, 1972. Nina F Thornhill, Sachin C Patwardhan, Sirish L Shah, A continuous stirred tank heater simulation model with applications, Journal of Process Control, 18, 2008. A. Albagul, M. Saad, and Y. Abujeela, Design and Implementation of PI and PIFL Controllers for Continuous Stirred Tank Reactor System, International Journal of Computer Science and Electronics Engineering (IJCSEE), vol. 2, pp. 130-134, 2014, P. Jain and M.J. Nigam, Design of a Model Reference Adaptive Controller Using Modified MIT Rule for a Second Order System, Advance in Electronic and Electric Engineering, vol. 3, pp. 477-484, 2013, S. Anbu and M. Senthilkumar, Modelling and Analysis of Continuous Stirred Tank Reactor through Simulation, Asian Journal of Engineering and Applied Technology, Vol.7, pp. 78-83, 2018. Swathi, M. and Ramesh, P., 2017, January. Modeling and analysis of model reference adaptive control by using MIT and modified MIT rule for speed control of DC motor. In 2017 IEEE 7th International Advance Computing Conference (IACC) (pp. 482- 486). IEEE. T. E. Marlin, Process Control Designing Processes and Control Systems for Dynamic Performance, Mc Graw Hill, 2nd ed, 2000. D. R. Coughanowr Steven E. LeBlanc, Process Systems Analysis and Control, Mc Graw Hill, 3rd ed, 2009. Jain, P. and Nigam, M.J., 2013. Design of a model reference adaptive controller using modified MIT rule for a second order system. Advance in Electronic and Electric Engineering, 3(4), pp.477-484. Man, Z., Wu, H.R., Liu, S. and Yu, X., 2006. A new adaptive backpropagation algorithm based on Lyapunov stability theory for neural networks. IEEE Transactions on Neural Networks, 17(6), pp.1580-1591. Krstic, M. and Smyshlyaev, A., 2008. Adaptive boundary control for unstable parabolic PDEs—Part I: Lyapunov design. IEEE Transactions on Automatic Control, 53(7), pp.1575-1591.