Zacytuj

P. Kundur, “Power system stability and control”, McGraw-Hill, 1993. Search in Google Scholar

A. J. Wood, B. F. Wollenberg and G. B. Sheble, “Power generation, operation, and control”, Woley, 2013 Search in Google Scholar

A. Visioli, “Practical PID Control”, Springer, 2006. Search in Google Scholar

K. L. Chien, J. A. Hrones and J. B. Reswick, “On the automatic control of generalized passive systems”, Transaction of American Society of Mechanical Enginnering, Vol. 74, pp. 827-834, 1952.10.1115/1.4015724 Search in Google Scholar

G. H. Cohn and G. A. Coon, “Theoretical consideration of related control”, Transaction of American Society of Mechanical Enginnering, Vol. 75, pp. 827-834, 1953.10.1115/1.4015451 Search in Google Scholar

T. Kailath, “Linear Systems”, Prentice-Hall., 1979. Search in Google Scholar

T. Kitamori, “A method of control system design based upon partial knowledge about controlled processess”, Transactions of the Society of Instrument and Control Engineers, Vol. 15, No. 4, pp. 549-555, 1979.10.9746/sicetr1965.15.549 Search in Google Scholar

S. Bennett, “Development of the PID controller,” IEEE Control Systems, Vol. 13, No.6, pp. 58-62, 1993.10.1109/37.248006 Search in Google Scholar

K. J. Astrom and T. Hagglund, “PID controllers: theory, design, and tuning”, Research Triangle, 1995. Search in Google Scholar

G. F. Franklin, J. D. Powell and A. Emami-Naeni, “Feedback control of dynamical systems”, Prentice-Hall, 2002. Search in Google Scholar

T. Hagglund and K. J. Astrom, “Revisiting the Ziegler–Nichols step response method for PID control”, Journal of Process Control, Vol. 14, pp. 635–650, 2004.10.1016/j.jprocont.2004.01.002 Search in Google Scholar

M. W. Foley, R. H. Julien and B. R. Copeland, “A comparison of PID controller tuning methods”, The Canadian Journal of Chemical Engineering, Vol. 83, No. 4, pp. 712-722, 2008.10.1002/cjce.5450830412 Search in Google Scholar

S. C. Mukhopadhyay, T. Ohji, M. Iwahara, S. Yamada and F. Matsumura, “Disturbance attenuation and h-infinity control on repulsive type magnetic bearing”, IEEE Transactions on Magnetics, Vol. 33, No. 5, pp. 4233-4235, 1997. Search in Google Scholar

S. C. Mukhopadhyay, T. Ohji, M. Iwahara, S. Yamada and F. Matsumura, “Permanent magnet configuration in repulsive type magnetic bearing for improved disturbance attenuation characteristics”, COMPEL-International Journal for Computation and Mathematics in Electrical and Electronics Engineering, Vol. 17, pp. 290-295, 1998.10.1108/03321649810208274 Search in Google Scholar

S. C. Mukhopadhyay, T. Ohji, M. Iwahara, S. Yamada and F. Matsumura, “Design and development of a low cost repulsive type magnetic bearing and its h-infinity control”, Journal of Non-linear Electromagnetic Systems, IOS Press, 13, 741-744, 1998. Search in Google Scholar

K. J. Astrom, H. Panagopoulos and T. Hagglund, “Design of PI controllers based on non-convex optimization”, Automatica, Vol. 34, No. 5, pp. 585-601, 1998.10.1016/S0005-1098(98)00011-9 Search in Google Scholar

M. Hast, K. Astrom, M. Hast, K. J.Astrom, B. Bernhardsson and S. Boyd, “Design by convex-concave optimization”, Proceedings of 2013 European Control Conference, pp. 44604465, 2013. Search in Google Scholar

H. Hjalmarsson, M. Gevers, S. Gunnarsson and O. Lequin, “Iterative feedback tuning: theory and applications”, IEEE Control Systems, Vol. 18, No. 4, pp. 26-41, 1998.10.1109/37.710876 Search in Google Scholar

G. O. Guardabassi and S. M. Savaresi, “Virtual reference direct design method: an off-line approach to data-based control system design”, IEEE Transaction on Automatic Contol, Vol. 45, No. 5, pp. 954-959, 2000.10.1109/9.855559 Search in Google Scholar

H. Hjalmarsson, “Iterative feedback tuning – an overview”, International Journal of Adaptive Control and Signal Processing, Vol. 16, pp. 373-395, 2002.10.1002/acs.714 Search in Google Scholar

M. C. Campi, A. Lecchini and S. M. Savaresi, “Virtual reference feedback tuning(VRFT): a direct method for the design of feedback controllers”, Automatica, Vol. 38, pp. 1337-1346, 2002. Search in Google Scholar

M. C. Campi and S. Savaresi, “Direct nonlinear control design: the virtual reference feedback tuning(VRFT) approach”, IEEE Transaction on Automatic Contol, Vol. 51, No. 1, pp. 14-27, 2006 .10.1109/TAC.2005.861689 Search in Google Scholar

S. Arimoto, S. Kawamura and F. Miyazaki, “Bettering operation of robots by learning”, Journal of Robotic Systems, Vol. 1, No. 2, pp. 123-140, 1984.10.1002/rob.4620010203 Search in Google Scholar

J. Moon, T. Doh and M. J. Chung, “An iterative learning control design approach for networked control systems with data dropouts”, International Journal of Robust and Nonlinear Control, Vol. 34, No. 8, pp. 1001-1004, 1998. Search in Google Scholar

H. Ahn, Y. Q. Chen and K. L. Moore, “Iterative learning control: brief survey and categorization”, IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, Vol. 37, No. 6, pp. 1099 – 1121, 2007. Search in Google Scholar

D. P. Bertsekus, “Nonlinear Programming”, Athena Scientific, 1999. Search in Google Scholar

D. P. Bertsekus, “Dynamic programming and optimal control”, Third edition, Athena Scientific, 2005 Search in Google Scholar

S. Soma, O. Kaneko and T. Fujii, “A new approach to parameter tuning of controllers by using one-shot experimental data – a proposal of fictitious reference iterative tuning”, Transactions of the institute of systems, control and information engineers, Vol. 17, No. 12, pp. 528-536, 2004.10.5687/iscie.17.528 Search in Google Scholar

O. Kaneko, Y. Yamashina and S. Yamamoto, “Fictitious reference tuning of the feedforward controller in a two-degree-of-freedom control system”, SICE Journal of Control Measurement and System Integration, Vol. 4, No. 1, pp. 55-62, 2011.10.9746/jcmsi.4.55 Search in Google Scholar

J. Kennedy and R. Eberhart, “Particle swarm optimization”, Proceedings of IEEE international conference on neural networks, Vol. 4, pp. 1942-1948, 1995. Search in Google Scholar

T. Azuma and S. Saijo, “Development and experiment of networked control systems with congestion control”, In S. C. Mukhopadhyay(Eds.), Smart Sensors and Sensing Technology,Lecture Notes in Electrical Engineering, pp. 15-27, Springer-Verlag, 2008.10.1007/978-3-540-79590-2_2 Search in Google Scholar

T. Azuma, “Design and experimental verification of state predictive LQG controllers for networked control systems”, International Journal on Smart Sensing and Intelligent Systems, Vol. 7, No. 3, pp. 1201-1220, 2014. Search in Google Scholar

M. Banzi, Getting Started with Arduino, Maker Media, Inc., 2011. Search in Google Scholar

G. Ueno, K. Yasuda and N. Iwasaki, “Robust-adaptive particle swarm optimization”, Proceedings of IEEE International Conference on Systems, Man and Cybernetics, Vol. 4, pp. 3915-3920, 2005. Search in Google Scholar

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