Description: The article provides an analysis of the sources and causes of destabilizing factors, having accident character, generate struc-tural and parametric uncertainty in assessing the internal state of an unmanned (robotic) car and the external environment of its functioning. At the same time, an assessment is made of the nature of the influence of destabilizing factors on the information oppor-tunities of the information-controlled system of an unmanned (robotic) car, with the study focusing on the analysis of the errors that the sensors bring in process of transformation the input physical quantity to the output signal. On the basis of the variation - parametric approach it is shown that in the conditions of intra-system perturbations an increase in the dimensionality of a paramet-ric vector is accompanied by losses, which lead to a decrease in the value of the system efficiency indicator in comparison with its potential value. The analysis of the graphs of these dependences shows that, in the absence of intra-system perturbations, an in-crease in the dimension of the parametric vector of the adaptive system leads to a nonlinear increase in the indicator of its efficiency. Loss of system efficiency may exceed the permissible level of information loss and the allocation of any useful information at the output of the information-controlled system of the unmanned car will not be possible. According to the results of the analysis of influence of destabilizing factors on the information opportunities of the unmanned car management system, this influence was formalized on the basis of an entropy measure. As a result of this formalization, diagrams were built, conventionally reflecting the entropy of the process at the output of the information-controlled system unmanned car which can operate in two modes: the exclu-sion mode or the enable mode of the system adaptation algorithm to parameters of the external environment and clearly demonstrate the loss of the average amount of information at the output of the adaptive information management system of the unmanned car at adaptation to the state of the environment in conditions of intrasystem indignations.
Keywords: unmanned car, destabilizing factors, a priori uncertainty, system redundancy, information channel.
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