The article is devoted to development of the concept of the integrated intelligent control system for complex manufacturing process. The base of the system is recurrent decomposition method, which allows reconfiguring systems logical structure in case of the given optimum criteria. A recurrent decomposition model of the general problem of manufacturing process automation and the algorithm of multi-level control for automated facilities with scalable tree structures are suggested. In this paper, the design of processes, as well as the problem of automating the lifecycle of the product are considered within the concept of Industry 4.0. The methods of final product quality control based on the control and testing processes optimization are considered as well as methods of structural and parametric optimization of technological processes. Some application examples of the developed mathematical models for technological systems are given.
The article researched and developed a universal theoretical concept of conditional constructions in non-procedural languages of different robotic systems. A multivariate classification of conditional constructions of non-procedural languages of robotic systems is offered. It is shown that the presented concept allows conditional constructions to be described in a form which allows to present them explicitly as they are common, especially their semantic properties and their typological primarily formal differences. A well-known thesis is discussed in the paper. It says that the conditional non-procedural design language fairly accurately reflects the logical operation of implication, and the notion of material implication is the source for the semantic definition of conditional constructions. A methodological basis of semantic research, pragmatic and communication properties of conditionals in the non-procedural languages of robotic systems is offered. A distinction of conditional constructions in non-procedural languages robotic systems into even and odd patterns is also researched.
The article discusses the problems of engineering-psychological design, automated systems design, including virtual prototyping and polyparametric optimization. We have considered the prospects of applying post-non-classical models of complex systems for the analysis of interactions between the operator and the design system with artificial intelligence.
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