Impacts of Sensitivity in Advanced Control Systems. Designing a Model. Generation of a Influential Values and Quantization Noise

Authors

  • Dr. Nderim Zeqiri

  • Artan Luma

  • Zamir Dika

Keywords:

sensivity, advanced control, design model, program, influential values, quantization noise

Abstract

Different levels of impact to some phenomena that perceive and react to unexpected values affect the results to deviate and take inappropriate values. Our effort is to create relevant solutions, which will allow these values to minimize or recovered through analytical analysis and arithmetic expressions, which create a new condition, and affects the extreme values retrospectively. Extreme values (Max and Min) can be a part of a certain differential, which gives us the opportunity to explore the new created situation. By creating the appropriate model not only affects the performance of the model/algorithm, but also provides specific solutions at the expense of increasing of the accurate perception and creation of a certain range of values, that form the totality of the realization of a phenomenon in terms of an event is stochastic or defined in border.

How to Cite

Dr. Nderim Zeqiri, Artan Luma, & Zamir Dika. (2011). Impacts of Sensitivity in Advanced Control Systems. Designing a Model. Generation of a Influential Values and Quantization Noise. Global Journal of Computer Science and Technology, 11(11), 17–21. Retrieved from https://computerresearch.org/index.php/computer/article/view/787

Impacts of Sensitivity in Advanced Control Systems. Designing a Model. Generation of a Influential Values and Quantization Noise

Published

2011-05-15