[1] Giusti, A., Malzahn, J., Tsagarakis, N. G., & Althoff, M. (2018). On the combined inverse-dynamics/passivity-based control of elastic-joint robots. IEEE transactions on robotics, 34(6), 1461–1471.
[2] Kali, Y., Saad, M., & Benjelloun, K. (2018). Optimal super-twisting algorithm with time delay estimation for robot manipulators based on feedback linearization. Robotics and autonomous systems, 108, 87–99.
[3] Arteaga-Pérez, M. A., Ortiz-Espinoza, A., Romero, J. G., & Espinosa-Pérez, G. (2020). On the adaptive control of robot manipulators with velocity observers. International journal of robust and nonlinear control, 30(11), 4371–4396.
[4] Peng, J., Ding, S., Yang, Z., & Xin, J. (2020). Adaptive neural impedance control for electrically driven robotic systems based on a neuro-adaptive observer. Nonlinear dynamics, 100, 1359–1378.
[5] Tong, M., Lin, W., Huo, X., Jin, Z., & Miao, C. (2020). A model-free fuzzy adaptive trajectory tracking control algorithm based on dynamic surface control. International journal of advanced robotic systems, 17(1), 1729881419894417. https://doi.org/10.1177/1729881419894417
[6] Pradhan, R., Majhi, S. K., Pradhan, J. K., & Pati, B. B. (2020). Optimal fractional order PID controller design using Ant Lion Optimizer. Ain shams engineering journal, 11(2), 281–291.
[7] Hekimouglu, B. (2019). Optimal tuning of fractional order PID controller for DC motor speed control via chaotic atom search optimization algorithm. IEEE access, 7, 38100–38114.
[8] Abdulkhader, H. K., Jacob, J., & Mathew, A. T. (2019). Robust type-2 fuzzy fractional order PID controller for dynamic stability enhancement of power system having RES based microgrid penetration. International journal of electrical power & energy systems, 110, 357–371.
[9] Jumani, T. A., Mustafa, M. W., Hussain, Z., Rasid, M. M., Saeed, M. S., Memon, M. M., & Nisar, K. S. (2020). Jaya optimization algorithm for transient response and stability enhancement of a fractional-order PID based automatic voltage regulator system. Alexandria engineering journal, 59(4), 2429–2440.
[10] Asgharnia, A., Jamali, A., Shahnazi, R., & Maheri, A. (2020). Load mitigation of a class of 5-MW wind turbine with RBF neural network based fractional-order PID controller. ISA transactions, 96, 272–286.
[11] Shah, P., Agashe, S., & Kulkarni, A. J. (2018). Design of a fractional PI λ D μ controller using the cohort intelligence method. Frontiers of information technology & electronic engineering, 19, 437–445.
[12] Zaheeruddin, Z., & Singh, K. (2022). Intelligent fractional-order-based centralized frequency controller for microgrid. IETE journal of research, 68(4), 2848–2862.
[13] Aghababa, M. P. (2014). A Lyapunov-based control scheme for robust stabilization of fractional chaotic systems. Nonlinear dynamics, 78(3), 2129–2140.
[14] Badamchizadeh, M. A., Hassanzadeh, I., & Abedinpour Fallah, M. (2010). Extended and unscented kalman filtering applied to a flexible-joint robot with jerk estimation. Discrete dynamics in nature and society, 2010. DOI:10.1155/2010/482972
[15] Spong, M. (2006). Robot modeling and control. John Wiley & Sons.
[16] Mendes, E. M. A. M., Salgado, G. H. O., & Aguirre, L. A. (2019). Numerical solution of Caputo fractional differential equations with infinity memory effect at initial condition. Communications in nonlinear science and numerical simulation, 69, 237–247.
[17] Dai, Y., Wei, Y., Hu, Y., & Wang, Y. (2016). Modulating function-based identification for fractional order systems. Neurocomputing, 173, 1959–1966.
[18] Podlubny, I. (1998). Fractional differential equations: an introduction to fractional derivatives, fractional differential equations, to methods of their solution and some of their applications. Elsevier.
[19] Aghababa, M. P. (2016). Optimal design of fractional-order PID controller for five bar linkage robot using a new particle swarm optimization algorithm. Soft computing, 20(10), 4055–4067.
[20] Delavari, H., Ghaderi, R., Ranjbar, A., & Momani, S. (2012). Reply to “comments on ‘fuzzy fractional order sliding mode controller for nonlinear systems, commun nonlinear sci numer simulat 15 (2010) 963--978.’” Communications in nonlinear science and numerical simulation, 17(10), 4010–4014.
[21] Aguila-Camacho, N., Duarte-Mermoud, M. A., & Gallegos, J. A. (2014). Lyapunov functions for fractional order systems. Communications in nonlinear science and numerical simulation, 19(9), 2951–2957.
[22] Mirjalili, S., Mirjalili, S. M., & Lewis, A. (2014). Grey wolf optimizer. Advances in engineering software, 69, 46–61.
[23] Ghahremani Nahr, J., & Bathaee, M. (2021). Design of a humanitarian logistics network considering the purchase contract. Journal of decisions and operations research, 6(3), 423–444.
[24] Singh, N., & Singh, S. B. (2017). A novel hybrid GWO-SCA approach for optimization problems. Engineering science and technology, an international journal, 20(6), 1586–1601.
[25] Rabbani, M., Tohidi Fard, M., Partovi, M., & Farrokhi-Asl, H. (2018). Solving a multi-depot vehicle routing problem with time windows and fuzzy demands using metaheuristic algorithms in home health care services. Journal of decisions and operations research, 3(2), 114–127.