A generalized model of an adaptive information-control system of a car with multi-sensor channels of information interaction

Abstract

The analysis of existing technologies for the development and implementation of vehicle control systems based on the automation of their functionality in accordance with the standard of the Society of Automotive Engineers J3016 2018 and proposals of the US National Highway Traffic Safety Administration is performed. The classification of the functionality of the on-board information-control system of vehicles according to the type of Advanced Driver Assistance Systems is carried out. On the basis of the conducted analysis the variant of structure of adaptive informationcontrolled system of the car with multisensory channels of information interaction is offered. Approaches to the elimination of a priori uncertainty regarding the information about the input multisensory information array in the adaptive information system with external and internal standards are proposed. Based on the methods of direct and inverse modeling, an approach to solving the class of problems of system identification is proposed, when the researcher has input and output signals and the transmission characteristics of the system are unknown. On the basis of direct and inverse methods of solving the system identification problems, structures of formation of direct and inverse estimation of the distortion operator are developed. This matrix distortion operator of the input multisensory information array in the system under study is a priori unknown. The analytical dependences of the formation of direct and inverse estimation of the distortion operator of the input multisensory information array in the controlled system with the adaptive principle of information processing in the conditions of a priori uncertainty are substantiated. In this study, the structure of an adaptive robotic complex with an information-controlled vehicle control system is proposed. This structure is invariant to external and internal destabilizing influences.