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Comparison of Optimal Problem Solving Methods in Model Predictive Control for Twin Rotor MIMO System

International Journal of Electrical and Electronics Engineering
© 2018 by SSRG - IJEEE Journal
Volume 5 Issue 9
Year of Publication : 2018
Authors : Huong T.M. Nguyen
10.14445/23488379/IJEEE-V5I9P101
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How to Cite?

Huong T.M. Nguyen, "Comparison of Optimal Problem Solving Methods in Model Predictive Control for Twin Rotor MIMO System," SSRG International Journal of Electrical and Electronics Engineering, vol. 5,  no. 9, pp. 1-8, 2018. Crossref, https://doi.org/10.14445/23488379/IJEEE-V5I9P101

Abstract:

There are many methods to optimize the installation of service search algorithm optimized for testing optimization problem

Keywords:

 Optimization problem, Model predictive control, Sequential quadratic programming, Variational method.

References:

[1] Phuoc. Nguyen.D, “Analysis and control of nonlinear systems”. Publishing Technology, Ha Noi University of Sciences and Technology, 2012. 
[2] Nocedal. J and Wright. S.J, Numerical Optimization. Springer-New York, 1996. 
[3] Grüne. L and Pannek. J, “Nonlinear model predictive control,” Theory and Algorithms, Springer, 2010. 
[4] A. Rahideh, M.H. Shaheed. “Constrained output feedback model predictive control for nonlinear systems”, Control Engineering Practive 20, 2012, pp. 431-443. 
[5] Huong. Nguyen.T.M, Thai. Mai.T, Chinh. Nguyen. H, Dung. Tran.T and Lai. Lai.K, (09-2014), “Model Predictive Control for Twin Rotor MIMO system”, The University of Da Nang Journal of science and Technology, 12[85], pp. 39 - 42. 
[6] A. Rahideh and M.H. Shaheed, “Mathematical dynamic modelling of a twin rotor multiple input–multiple output system,”, Proc. of the IMeche, Part I. Journal of Systems and Control Engineering 221, 2007, pp.89–101. 
[7] Phuoc. Nguyen.D, (2016) “Optimization in control and Optimal control”. Publishing Technology, Ha Noi University of Sciences and Technology. 
[8] Huong Nguyen T. M., Thai Mai T., Lai Lai K. (2015), “Model Predictive Control to get Desired Output with Infinite Predictive Horizon for Bilinear Continuous Systems”, International Journal of Mechanical Engineeringand Robotics Research, Vol. 4, No. 4, pp. 299 - 303.