INFORMATION STATE OF SYSTEM ESTIMATION
DOI:
https://doi.org/10.47839/ijc.15.1.828Keywords:
entropy, information, system, coding, permutation, adaptive, activity.Abstract
As far as the behavior of the object under study is random, it is difficult or even impossible to create an adequate program of its regular maintenance. A better result provides an adaptive servicing algorithm for the needs of current monitoring and control of the object. Nowadays, both different adaptive algorithms and capabilities of a sample group coding are effectively used for this purpose. The demand to the channel capacity regarding the required decrease of the binary digit rate has always been an actual task. Recently, it is observed that the creation of a new system is frequently based on the employment of the entropy measure and permutation encoding. Such applications are known to be used for biometric systems, cryptography, body wireless networks and others. A concrete combination of active source addresses (with significant samples) may be considered as some generalized image of the object under study. It can be used as information for the control function of the next level of the cyber-physical system as well. The paper deals with considering the possibility of the most efficient usage of a transmission channel capacity and receiving of a generalized image of a servicing object state as the entropy estimation of its sensors activities. The estimating operation procedures are also described. The ways of such tasks solving are described and the above mentioned coding procedure is presented.References
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