COMPARISON SOME ALGORITHMS USING NEURON NETWORKS TO IDENTIFY THE BLACK BOX MODEL  OF TWIN ROTOR MIMO SYSTEM

Huong T.M. Nguyen

COMPARISON SOME ALGORITHMS USING NEURON NETWORKS TO IDENTIFY THE BLACK BOX MODEL OF TWIN ROTOR MIMO SYSTEM

May 2022

Vol-8, Issue-3

Paper ID: 16893

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Electrical and Electronics Engineering

Keywords

Black box model Neural network Yaw angle Pitch angle Identify Mean squared error.

Abstract

Neural networks have universal approximation capabilities, so in recent years they are widely used and effective in the identification and control of nonlinear dynamical objects. When recognizing the actual object model, it is still a difficult problem to choose the network model and the control algorithm for simplicity, suitable for a specific object class. In this paper, the author compares the quality of the TRMS relative model through the mean squared deviation when using the above algorithms.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Huong T.M. Nguyen	Faculty of Mechanical, Electrical and Electronic Technology, Thai Nguyen University of Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style

Nguyen, Huong T.M. (2022). COMPARISON SOME ALGORITHMS USING NEURON NETWORKS TO IDENTIFY THE BLACK BOX MODEL OF TWIN ROTOR MIMO SYSTEM. International Journal of Advance Research and Innovative Ideas In Education, 8(3), 1903-1909.

MLA Style

Nguyen, Huong T.M.. "COMPARISON SOME ALGORITHMS USING NEURON NETWORKS TO IDENTIFY THE BLACK BOX MODEL OF TWIN ROTOR MIMO SYSTEM." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 1903-1909.

IEEE Style

Huong T.M. Nguyen, "COMPARISON SOME ALGORITHMS USING NEURON NETWORKS TO IDENTIFY THE BLACK BOX MODEL OF TWIN ROTOR MIMO SYSTEM," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 1903-1909, 2022.

Vancouver Style

Nguyen Huong T.M.. COMPARISON SOME ALGORITHMS USING NEURON NETWORKS TO IDENTIFY THE BLACK BOX MODEL OF TWIN ROTOR MIMO SYSTEM. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):1903-1909.

Harvard Style

Nguyen, Huong T.M. (2022) 'COMPARISON SOME ALGORITHMS USING NEURON NETWORKS TO IDENTIFY THE BLACK BOX MODEL OF TWIN ROTOR MIMO SYSTEM', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 1903-1909.

Chicago Style

Nguyen, Huong T.M.. "COMPARISON SOME ALGORITHMS USING NEURON NETWORKS TO IDENTIFY THE BLACK BOX MODEL OF TWIN ROTOR MIMO SYSTEM." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 1903-1909.

Turabian Style

Nguyen, Huong T.M.. "COMPARISON SOME ALGORITHMS USING NEURON NETWORKS TO IDENTIFY THE BLACK BOX MODEL OF TWIN ROTOR MIMO SYSTEM." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 1903-1909.