References
- P. Jain and M. J. Nigam, “Design of a Model Reference Adaptive Controller Using Modified MIT Rule for a Second Order System,” vol. 3, no. 4,2013, pp. 477–484.
- M. Mohan and P. CP, “A model reference adaptive pi controller for the speed control of three phase induction motor” International Journal of Engineering Research and, vol. V5, no. 07, 2016.
- X.-J. Liu, F. Lara-Rosano, and C. W. Chan, “Model-reference adaptive control based on Neurofuzzy Networks,” IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), vol. 34, no. 3, 2004, pp. 302–309.
- S. Kersting and M. Buss, “Direct and indirect model reference adaptive control for multivariable piecewise affine systems,” IEEE Transactions on Automatic Control, vol. 62, no. 11, 2017, pp. 5634–5649.
- A, Abdulla, I. Mohammed, and A. Jasim. “Roll control system design using auto tuning LQR technique.” International Journal of Engineering and Innovative Technology, V7, no. 01, 2017.
- L. Lublin and M. Athans, “Linear quadratic regulator control,” in The Control Systems Handbook: Control System Advanced Methods, Second Edition, 2010.
- Y. S Dawood, A. K Mahmood, and M. A Ibrahim, “Comparison of PID, GA and Fuzzy Logic Controllers for Cruise Control System,” Int. J. Comput. Digit. Syst., vol. 7, no. 05, 2018, pp. 311–319.
- V. Dhiman, G. Singh, and M. Kumar, “Modeling and control of underactuated system using LQR controller based on GA,” in Lecture Notes in Mechanical Engineering, 2019.
- A. G. Pillai, E. R. Samuel, and A. Unnikrishnan, “Analysis of optimised LQR controller using genetic algorithm for isolated power system,” in Advances in Intelligent Systems and Computing, 2019, vol. 939.
- X.-S. Yang, “Genetic Algorithms,” Nature-Inspired Optim. Algorithms, pp. 91–100, Jan. 2021
- M. Rezaee and R. Fathi, “A new design for automatic ball balancer to improve its performance,” Mech. Mach. Theory, vol. 94, 2015, pp. 165–176.
- E. A.Rosales, “A Ball-on-Beam Project Kit,” Proc. 22nd …, 2004.
- M. Shah, R. Ali, and F. M. Malik, “Control of ball and beam with LQR control scheme using flatness based approach,” 2019
- X. Li and W. Yu, “Synchronization of ball and beam systems with neural compensation,” Int. J. Control. Autom. Syst., vol. 8, no. 3, 2010
- C. G. Bolívar-Vincenty and Beauchamp-Báez, “Modelling the Ball-and-Beam System From Newtonian Mechanics and from Lagrange Methods,” Twelfth LACCEI Lat. Am. Caribb. Conf. Eng. Technol., vol. 1, 2014.
- Mr. Hrishikesh R. Shirke and Dr. Prof. Mrs. N. R. Kulkarni, “Mathematical Modeling, Simulation and Control of Ball and Beam System,” Int. J. Eng. Res., vol. V4, no. 03, Mar. 2015.
- F. A. Salem “Mechatronics design of ball and beam system: education and research,” Mechatronics vol. 5, no. 4, 2015.
- M. Keshmiri, A. F. Jahromi, A. Mohebbi, M. H. Amoozgar, and W. F. Xie, “Modeling and control of ball and beam system using model based
- and non-model based control approaches,” Int. J. Smart Sens. Intell. Syst., vol. 5, no. 1, 2012.
- D. Colón, Y. Smiljanic Andrade, A. M. Bueno, I. Severino Diniz, and J. Manoel Balthazar. “Modeling, control and implementation of a Ball and Beam system.” In 22nd International Congress of Mechanical Engineering-COBEM. 2013.
- M. Nokhbeh and D. Khashabi, “Modelling and Control of Ball-Plate System,” Math. Model., 2011.
- K. B. Pathak Scholar, “MRAC BASED DC SERVO MOTOR MOTION CONTROL,” Int. J. Adv. Res. Eng. Technol., vol. 7, no. 2, 2016.
- S. A. Kochummen, N. E. Jaffar, and A. Nasar, “Model Reference Adaptive Controller designs of steam turbine speed based on MIT Rule,” 2016.
- M. Swathi and P. Ramesh, “Modeling and analysis of model reference adaptive control by using MIT and modified MIT rule for speed control of DC motor,” 2017.
- W. Alharbi and B. Gomm, “Genetic Algorithm Optimisation of PID Controllers for a Multivariable Process,” Int. J. Recent Contrib. from Eng. Sci. IT, vol. 5, no. 1, 2017.
- N. Razmjooy, M. Ramezani, and A. Namadchian, “A new LQR optimal control for a single-link flexible joint robot manipulator based on grey wolf optimizer,” Majlesi J. Electr. Eng., vol. 10, no. 3, 2016.
- A. Mahmood, M.Almaged, and A. Abdulla. “Antenna azimuth position control using fractional order PID controller based on genetic algorithm.” In IOP Conference Series: Materials Science and Engineering, vol. 1152, no. 1, p. 012016. IOP Publishing, 2021.
- A. Mahmood, A. Abdulla, and I. Mohammed, “Helicopter Stabilization Using Integer and Fractional Order PID Controller Based on Genetic Algorithm,” 2020.
- P. Shen, “LQR control of double inverted-pendulum based on genetic algorithm.” In 2011 9th World Congress on Intelligent Control and Automation, pp. 386-389. IEEE, 2011.
