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Štefan Bucz, Alena Kozáková and Vojtech Veselý

Regulation Control for Nonlinear Nonminimum Phase Systems: Application to Flight Control”, IEEE T. Contr. Syst. T. , vol. 10, no. 6, Pp.780-792, 2002. [19] K. J. Åström and T. Hägglund, Advanced PID Control , ISA, 2005. [20] B. S. Chen and T. Y. Yang, “Robust Optimal Model Matching Control Design for Flexible Manipulators”, J. Dyn. Syst. T. ASME , vol. 115, Pp.173-178, 1993. [21] M. T. Ho and Y. W. Tu, “PID Controller Design for A Flexible-Link Manipulator”, Proceedings of The 44th IEEE Conference On Decision and Control , and The European Control

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Zenon Zwierzewicz

References 1. Abu-Khalaf M., Huang J., Lewis F. L.: Nonlinear Constrained Feedback Control . Advances in Industrial Control. Springer, London, 2006. 2. van Amerongen J.: Adaptive steering of ships. A model-reference approach to improved manoeuvring and economical course keeping . Ph.D. Thesis, Delft University of Technology, 1982. 3. Burl J. B.: Linear optimal control . Addison-Wesley, Menlo Park, CA, 1999. 4. Basar T., Bernhard P.: H∞ - o ptimal control and related minimax design

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Daniela V. Caiado, João M. Lemos and Bertinho A. Costa

References [1] A.R. ABSALOM, N. SUTCLIFFE and G.N. KENNY: Closed-loop control of anesthesia using bispectral index: performance assessment in patients undergoing major orthopedic surgery under combined general and regional anesthesia. Anesthesiology , 96(1), (2002), 67-73. [2] S. ANNA and P. WEN: Depth of anesthesia control using internal model control techniques. In 2010 IEEE/ICME Int. Conf. on Complex Medical Engineering , (2010), 294-300. [3] G. BALAS, A. CHIANG, R. PACKARD and M. SAFANOV: Robust

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Mostafa Ardakani, Rassoul Noorossana, Seyed Akhavan Niaki and Homayoun Lahijanian

References Asgharpour, M.J., (1998). Multiple Criteria Decision Making , Tehran University Press, Tehran. Borkowski, J.J. and Lucas, J.M., (1997). Designs of mixed resolution for process robustness studies, Technometrics 39(1): 63-70. Borror, C.M. and Montgomery, D.C., (2000). Mixed resolution designs as alternatives to Taguchi inner/outer array designs for robust design problems, Quality and Reliability Engineering International 16(2): 117-127. Box, G

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Daniele Peri

Council in cooperation with IFAC, 2004. 5. A. Messac and A. Ismail-Yahaya, Multiobjective robust design using physical programming, Structural and Multidisciplinary Optimization , vol. 23, no. 5, pp. 357–371, 2002. 6. M. Diez, D. Peri, G. Fasano, and E. F. Campana, Hydroelastic optimization of a keel fin of a sailing boat: a multidisciplinary robust formulation for ship design, Structural and Multidisciplinary Optimization , vol. 6, no. 4, pp. 613–625, 2012. 7. W. Barrett, Convergence properties of gaussian quadrature formulae, Coputer Journal , vol

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Vojtech Veselý and Danica Rosinová

: Model based predictive control: A practical approach. Control Series, (2003). V. Veselý and D. Rosinová: Robust output model predictive control design: BMI approach. IJICIC , 5 (4), (2009), 1115-1123. A. Yanou, A. Inoue, M. Deng and S. Masuda: An extension of two degree-of-freedom of generalized predictive control for M-input M-output systems based on state space approach. IJICIC , 4 (12), (2008), 3307-3318. E. Zafiriou and A. Marchal: Stability of SISO quadratic dynamic matrix control

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Danica Rosinová, Nguyen Thuan, Vojtech Veselý and L'ubomír Marko

: with Applications, Academic Press, 1985. ROSINOVÁ, D.—VESELÝ, V. : Robust PID Decentralized Controller Design using LMI, International Journal of Computers, Communications & Control 2 (2007), 195-204. STANKOVIČ, S. S.—STIPANOVIČ, D. M.—ŠILJAK, D. D. : Decentralized Dynamic Output Feedback for Robust Stabilization of a Class of Nonlinear Interconnected Systems, Automatica 43 (2007), 861-867. ŠILJAK, D. D.—STIPANOVIČ, D. M. : Robust Stabilization of Nonlinear Systems: the LMI Approach

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Vojtech Veselý and Ladislav Körösi

R eferences [1] M. Ge, M. -S. Chiu and Q. -G.Wang, “Robust PID controller design via the LMI approach”, Journal of Process Control , vol. 12, pp. 3-13, 2002. [2] M. F. Hassan and M. Zribi, “An observer-based controller for nonlinear systems: A gain scheduling approach”, Applied mathematics and computation , vol. 237, pp. 695-711, 2014. [3] Z. Hu, Y. He andW. Li, “Robust PID Controller Design for Multivariable Processes”, Proceedings of the 2008 Fourth International Conference on Natural Computation , vol. 04, pp. 427-431, 2008. [4] A

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Vojtech Veselý and Danica Rosinová

and R. Bars: Stable output fedback model predictive control design: LMI approach. Archives of Control Sciences , 18 (3), (2008), 385-394. V. Veselý, D. Rosinová and M. Foltin: Robust model predictive control design with input constraints. ISA Trans. , 49 (2010), 114-120. E. Zafiriou and A. Marchal: Stability of SISO quadratic dynamic matrix control with hard output constraints. AIChE J. , 37 (1991), 1550-1560. Z.Q. Zheng and M. Morari: Robust stability of constrained model

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Renata Dwornicka and Jacek Pietraszek

. Montgomery, D.C., 1997. Introduction to Statistical Quality Control. John Wiley & Sons, Hoboken. Montgomery, D.C., 2008. Design and Analysis of Experiments. John Wiley & Sons, Hoboken. Niewiadomski, A., 2008. Methods for the linguistic summarization of data: applications of fuzzy sets and their extensions. AOW Exit, Warszawa, Poland. Phadke, M.S., 1989. Quality Engineering Using Robust Design. Prentice Hall International, Inc., London. Plackett, R.L., Burman, J.P., 1946. The design of optimum multifactorial