Impacts of Sensitivity in Advanced Control Systems. Designing a Model. Generation of a Influential Values and Quantization Noise
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.
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Published
2011-05-15
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Copyright (c) 2011 Authors and Global Journals Private Limited
This work is licensed under a Creative Commons Attribution 4.0 International License.