Smart Systems for Industrial Applications. Группа авторов

for pneumatic system. IECON 2013-39th Annual Conference of the IEEE Industrial Electronics Society, pp. 4126–4130, 2013.

      5. Taheri, B., Case, D., Richer, E., Force and stiffness backstepping-sliding mode controller for pneumatic cylinders. IEEE/ASME Trans. Mechatron., 19, 6, 1799–1809, 2014.

      6. Garmsiri, N. and Sepehri, N., Emotional learning based position control of pneumatic actuators. Intell. Autom. Soft Comput., 20, 3, 433–450, 2014.

      7. Essa, ME-SM., Aboelela, M.A.S., Hassan, M.A.M., Abdraboo, S.M., Fractional Order Fuzzy Logic Position and Force Control of Experimental Electro-Hydraulic Servo System, in: 2019 8th International Conference on Modern Circuits and Systems Technologies (MOCAST), IEEE, pp. 1–4, 2019.

      8. Ren, H.-P., Wang, X., Fan, J.-T., Kaynak, O., Fractional order sliding mode control of a pneumatic position servo system. J. Franklin Inst., 356, 12, 6160– 6174, 2019.

      9. Al-Dhaifallah, M., Kanagaraj, N., Nisar, K.S., Fuzzy fractional-order PID controller for fractional model of pneumatic pressure system. Math. Probl. Eng., 2018, 9, 2018.

      10. Liu, L. and Zhang, S., Robust fractional-order PID controller tuning based on Bode’s optimal loop shaping. Complexity, 2018, 14, 2018.

      11. Dastjerdi, A.A., Saikumar, N., HosseinNia, S.H., Tuning guidelines for fractional order PID controllers: Rules of thumb. Mechatronics, 56, 26–36, 2018.

      12. Kumar, P., Chatterjee, S., Shah, D., Saha, U.K., Chatterjee, S., On comparison of tuning method of FOPID controller for controlling field controlled DC servo motor. Cogent Eng., 1, 1357875, 2017.

      13. Machado, J.A.T., Optimal tuning of fractional controllers using genetic algorithms. Nonlinear Dyn., 1–2, 447–452, 2010.

      14. Ren, H.-P., Fan, J.-T., Kaynak, O., Optimal design of a fractional-order proportional-integer-differential controller for a pneumatic position servo system. IEEE Trans. Ind. Electron., 66, 8, 6220–6229, 2018.

      15. Ramezanian, H. and Balochian, S., Optimal design a fractional-order PID controller using particle swarm optimization algorithm. Int. J. Control Autom., 4, 55–68, 2013.

      16. Ren, H.P. and Zheng, T., Optimization design of power factor correction converter based on genetic algorithm, in: 2010 Fourth International Conference on Genetic and Evolutionary Computing, 2010.

      17. Estrada, A. and Plestan, F., Second order sliding mode output feedback control with switching gains—Application to the control of a pneumatic actuator. J. Franklin Inst., 351, 4, 2335–2355, 2014.

      18. Efe, M.O., Fractional order systems in industrial automation—a survey. IEEE Trans. Ind. Inform., 7, 4, 582–591, 2011.

      19. Junyi, C. and Binggang, C., Fractional-order control of pneumatic position servosystems. Math. Probl. Eng., 2011, 2011.

      20. Tepljakov, A., Alagoz, B.B., Yeroglu, C., Gonzalez, E., HosseinNia, S.H., Petlenkov, E., FOPID controllers and their industrial applications: a survey of recent results. IFAC-Papers Online, 51, 4, 25–30, 2018.

      21. Meng, D., Tao, G., Zhu, X., Integrated direct/indirect adaptive robust motion trajectory tracking control of pneumatic cylinders. Int. J. Control, 86, 9, 1620–1633, May 2013.

      22. Zhang, X., Wang, Y., Wang, C., Su, C.-Y., Li, Z., Chen, X., Adaptive Estimated Inverse Output-Feedback Quantized Control for Piezoelectric Positioning Stage. IEEE Trans. Cybern., 99, 1–13, Apr. 2018.

      1 *Corresponding author: [email protected]