scholarly journals Bayesian recognition of a moving object information-measuring system state: a priori information weight correction

Author(s):  
S M Muzhichek ◽  
G G Sebryakov ◽  
V I Pavlov ◽  
S V Tolstych ◽  
M B Kenzhekhanova
2020 ◽  
Vol 23 (6) ◽  
pp. 256-270
Author(s):  
A. A. Burmaka ◽  
T. N. Govorukhina ◽  
R. Y. Goryainov

Perpose of research is to develop a technique for developing system and local models of targeted processes of functioning of the subsystem of the receiving channel of an information-measuring system. These models should make it possible to substantiate the possibility of optimizing the processes of interaction of the components of the analog-discrete conversion of the input action of a random nature.Methods. The technique for obtaining measurement information in the information-measuring system involves the use of algorithms that minimize information loss at each stage of conversion of the input action. A possible approach is the use of rational and optimal solutions when selecting and substantiating functional support of the input action ),,( St  in order to obtain current measurement information while minimizing residual uncertainty.Results. To solve this problem, it is necessary to build a system model for the totality of the basic functions that determine the implementation of the targeted process of analog-discrete conversion ) ,,( S t  ; to substantiate the way these functions are implemented, the criteria for their interaction; to determine the optimization technique and (or) rational construction of local targeted processes; to prepare guidelines and rules for structural constructions of the subsystem of the information-measuring system, the input actions of which have priori unknown characteristics. The paper proposes an approach to the functional organization of analog-discrete conversions of the input action of a random nature in the receiving channel subsystem of an information-measuring system, which allows improving the quality of the receiving channel of the information-measuring system and the operation of its components by optimizing the interrelated targeted processes for detecting pulse signals and measuring their parameters against the background of noise with a priori unknown characteristics.Conclusion. The application of procedures for temporary selection of signals controlled by the detection channel allows increasing the speed and accuracy of determining their parameters, increasing the noise immunity of the receiving channel subsystem of the information-measuring system, reducing the probability of skipping weak signals as well as increasing the accuracy of measuring the temporal parameters of pulse signals. 


Author(s):  
P. Steblyanko ◽  
T. Katkova ◽  
B. Stelyuk

The possibility of application in the practice of customs control of the anechoic regime created by means of non-standardized measuring instruments in the form of an anechoic chamber is analyzed. From the standpoint of the principle of reliability of confirmation of conformity, the calibration of a hole-like anechoic chamber was performed as a basis for additional tools in the information system of customs control of an anechoic chamber. The task is to create a data bank of images of typical objects for the introduction into customs practice of methods and means of radar detection and recognition. The functional scheme of the laboratory installation from the anechoic chamber is given and the results of experimental researches are presented. Comprehensive mathematical modeling in the information-measuring system of customs control was carried out, which allowed to choose a more reliable required mode of certification of the involved control-measuring equipment not only from the point of view of their information security due to detection of own accompanying parasitic electromagnetic radiation objects. Note that, for the purity of the experiment when creating a catalog of images of hidden objects of artificial origin, it is advisable to use the anechoic mode, created by special methods and techniques that implement them, for example, anechoic cameras. Thus, without a priori information about hidden objects of artificial origin, it is advisable to create banks of images of hidden objects, taking into account their interaction in the process of detection, measurement and recognition.


2020 ◽  
Vol 2020 (4) ◽  
pp. 61-70
Author(s):  
Sergiy Yepifanov

AbstractOne of the most perspective development directions of the aircraft engine is the application of adaptive digital automatic control systems (ACS). The significant element of the adaptation is the correction of mathematical models of both engine and its executive, measuring devices. These models help to solve tasks of control and are a combination of static models and dynamic models, as static models describe relations between parameters at steady-state modes, and dynamic ones characterize deviations of the parameters from static values.The work considers problems of the models’ correction using parametric identification methods. It is shown that the main problem of the precise engine simulation is the correction of the static model. A robust procedure that is based on a wide application of a priori information about performances of the engine and its measuring system is proposed for this purpose. One of many variants of this procedure provides an application of the non-linear thermodynamic model of the working process and estimation of individual corrections to the engine components’ characteristics with further substitution of the thermodynamic model by approximating on-board static model. Physically grounded estimates are obtained based on a priori information setting about the estimated parameters and engine performances, using fuzzy sets.Executive devices (actuators) and the most inertial temperature sensors require correction to their dynamic models. Researches showed, in case that the data for identification are collected during regular operation of ACS, the estimates of dynamic model parameters can be strongly correlated that reasons inadmissible errors.The reason is inside the substantial limitations on transients’ intensity that contain regular algorithms of acceleration/deceleration control. Therefore, test actions on the engine are required. Their character and minimum composition are determined using the derived relations between errors in model coefficients, measurement process, and control action parameters.


2021 ◽  
pp. 1-26
Author(s):  
Roman Z. Morawski

Abstract It is argued, in this paper, that the core operation underlying any measurement – the inverse modelling under uncertainty – is equivalent to quantitative abductive reasoning which consists in the selection of the best estimate of a measurand (i.e. a quantity to be measured) in a set of admissible solutions, using a priori information: (i) on the measurand, (ii) on the measuring system coupled with an object under measurement, and (iii) on the influence of the environment including the user of the measurement results. There are two key premises of this claim: a systematic interpretation of measurement in terms of inverse problems, proposed earlier by the author, and a logical link between inverse problems and abduction, identified by the Finnish philosopher of science Ilkka Niiniluoto. The title claim of this paper is illustrated with an expanded example of measuring optical spectrum by means of a low-resolution spectrometer.


2006 ◽  
Vol 16 (01) ◽  
pp. 85-100 ◽  
Author(s):  
YURY V. KOLOKOLOV ◽  
ANNA V. MONOVSKAYA

Typically, online forecasting of pulse system dynamics assumes the usage of certain kinds of relevant a priori information. A bifurcation (or a parametric) diagram is one of the most informative forms of presentation of dynamics evolution. However, the data represented in this form is usually insufficient for one-to-one identification of the present system state and dynamics evolution direction, especially when online decision-making is necessary. In this paper two additional modified bifurcation diagrams are introduced. These diagrams provide a framework for deriving an algorithm which can be used to solve, in a step-by-step manner, a complex problem that consists in dynamics monitoring, identification and forecasting.


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