Scientific and Technical Journal

ELECTROTECHNIC AND COMPUTER SYSTEMS

ISSN Print 2221-3937
ISSN Online 2221-3805
PARAMETRIC MODELING OF THE FUNCTIONING DYNAMICS OF DIFFERENT NATURE SENSORS
Abstract:
The means for parametric modeling of the dynamics of the functioning of sensors of different nature are proposed. In models, the structure of control of physical processes in semiconductor and biological sensors is displayed. The hidden features of the sensor function are manifested after the transformation of its signal X(t) and the derivatives (dX /dt, d2X/dt2) into the parametric signatures X-dX/dt, X-d2X /dt2 and dX/dt-d2X/dt2. Their configurations are geometric models of the sensor. They clearly show the dynamic and energy components of the sensor. The nature of the interconnection of these components determines the parametric cycle of the sensor in its main phases. Therefore, the informative powers of the main phases of the sensor functioning. The relations between them form the matrix of the system management structure. It allows you to explore the nature of the relationship between key management parameters, on which consistency depends on its effectiveness. The interrelation of the parameters can be analyzed in 3-D. Therefore, the geometric model of the structure of the control cycle, represented in the coordinates dX/dt-d2X(t)/dt2, provides qualitatively new possibilities. Firstly, information aspects of sensor functioning can be analyzed by complementary dynamic and statistical methods. Secondly, to use natural and interrelated dynamic parameters in the analysis, as well as universal indicators of dynamic order and energy balance. Third - to form a matrix of indicators of the balance of management capacities between the main phases of functioning. The advantage of 3-D parametric modeling of sensors is: a) the natural decomposition of signals into the interrelated dynamic and energy components of their operation; B) the natural decomposition of signals into subsets of microstates, the nature of their distribution determines the order and balance of their functioning. Therefore, it is possible to model the influence of external and internal factors on the nature of the relationship between the indicators of balance. With a comparative analysis of parameters and performance indicators, the reasons for the inefficiency of parametric control are visible. 3- D parametric modeling allows us to identify and analyze hidden spatio-temporal correlations in the dynamics of the functioning of sensors of different nature.
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References
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