This paper considers further development of the method for pre-design studies aimed at improving the reliability, survivability, and safety of complex mechanical systems, assembly units, and parts in accordance with t...
This paper considers further development of the method for pre-design studies aimed at improving the reliability, survivability, and safety of complex mechanical systems, assembly units, and parts in accordance with the criteria of strength and resource. The Self-Organization Principle is represented as a combination of a heuristic hierarchical transdisciplinary model and metaheuristic and heuristic rules that automatically create a decision algorithm. The algorithm is determined by the object of study, by the chosen goal, and by the scientific and industrial description of the tasks. The representation of tasks as metaheuristics and heuristics allows for the use of methods and means for artificial intelligence, in particular, expert systems. Metaheuristics and heuristics are compiled by domain experts with further incorporation into the knowledge bases of the corresponding hierarchical complex of Expert systems and Computational Modules.
The issue of ensuring strength reliability remains relevant due to the insurmountable imperfections and/or violations of methods and means of its provision at all stages of the life cycle of Complex Mechanical systems...
The issue of ensuring strength reliability remains relevant due to the insurmountable imperfections and/or violations of methods and means of its provision at all stages of the life cycle of Complex Mechanical systems. The uncertainty of some properties of strength reliability leads to catastrophic failures. To improve the efficiency and quality of the substantiation of properties, we developed a self-organizing information processing technology based on the interaction of logical heuristic procedures. We also identified the main uncertainties and the method for their acceptable neutralization based on additional expert information.
The paper deals with approaches to heterogeneous data cleanse in processes of their preparation to integration. This process allows identifying and fixing different inconsistencies and errors in data to improve data q...
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The German-Russian Astroparticle Data Life Cycle Initiative is an international project launched in 2018. The Initiative aims to develop technologies that provide a unified approach to data management, as well as to d...
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In this paper the authors present a methodology on information support for research on human and environmental impact of Lake Baikal. The geoportal placed on the Internet allows researchers to create a common thematic...
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The article summarizes the experience gained during processing of the data about the terrain of the Bratsk Reservoir bed. We discuss the available sources of information on the land and underwater terrain and justify ...
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The present paper is concerned with a nonlinear partial differential controlsystem subject to a state-dependent and nonconvex control constraint. This system models the dynamics of populations in the vegetation–prey...
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We address the relevant problem of machine learning in a multi-agent system for distributed computing management. We propose a new approach to the agent learning in the system for managing job flows of scalable applic...
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Automated timetabling is a challenging area in the timetabling and scheduling theory and practice, intensively addressed in research papers in the last two decades. There are three main classes of problems, which are ...
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Flatness-based feed-forward control of solenoid actuators is considered. For precise motion planning and accurate steering of conventional solenoids, eddy currents cannot be neglected. The system of ordinary different...
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Flatness-based feed-forward control of solenoid actuators is considered. For precise motion planning and accurate steering of conventional solenoids, eddy currents cannot be neglected. The system of ordinary differential equations including eddy currents, that describes the nonlinear dynamics of such actuators, is not differentially flat. Thus, a distributed parameter approach based on a diffusion equation is considered, that enables the parametrization of the eddy current by the armature position and its time derivatives. In order to design the feedforward control, the distributed parameter model of the eddy current subsystem is combined with a typical nonlinear lumped parameter model for the electrical and mechanical subsystems of the solenoid. The control design and its application are illustrated by numerical and practical results for an industrial solenoid actuator.
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