A mobile-agent based distributed intelligent control system architecture for home automation

Author(s):  
Qinglong Wu ◽  
Fei-Yue Wang ◽  
Yuetong Lin
Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6469
Author(s):  
Maksim Dli ◽  
Andrey Puchkov ◽  
Artem Vasiliev ◽  
Elena Kirillova ◽  
Yuri Selyavskiy ◽  
...  

This paper proposes multilevel architecture for an intelligent control system for the complex chemical energy technological process of yellow phosphorus production from apatite-nepheline ore processing waste. The research revealed that, when controlling this process, one has to deal with large amounts of multiformat and polymodal information, and control goals differ at different levels not only in effectiveness criteria, but also in the structuredness of the level problems. On this basis, it is proposed that intelligent methods be used for the implementation of information processes and control goals at individual levels and the whole system. The artificial intelligence methods underlying the informational model of a control system offer solutions to problems of analyzing control processes at different hierarchy levels, namely the initial level of sensing devices, the levels of programmable logic controllers, dispatching of control and production processes, enterprise management and strategic planning. Besides, the intelligent control system architecture includes analytical and simulation models of processes occurring in the multistage procedure of ore waste processing by a plant consisting of a granulating machine, a conveyor-type multichambercalcining machine, and an ore thermal furnace. The architecture of information support for the control system comprises a knowledge-based inference block intended for implementing the self-refinement of neural network and simulation models. Fuzzy logic methods are proposed for constructing this block. The paper considers the deployment of control algorithms for a phosphorus production system using the Matlab software environment on the basis of a modern complex system development paradigm known as the model-oriented design concept.


2021 ◽  
Vol 7 (4) ◽  
pp. 539-564
Author(s):  
Leonid A. Baranov ◽  
◽  
Valentina G. Sidorenko ◽  
Ludmila N. Loginova ◽  
◽  
...  

The emergence of a large number of transport interchange hubs, changes in megalopolis transport system’s confi guration leads to increasing number of passengers and changing in passenger fl ows using rail transport, which aff ects its functioning and requires consideration when creating and organizing 560 Интеллектуальные системы управления Автоматика на транспорте. № 4, том 7, декабрь 2021 the operation of an intelligent control system for urban rail transport systems. The analysis of the experience in the passenger fl ows study will make it possible to create new algorithms for forecasting passenger traffi c using modern technologies of agent-based modelling and technical vision. The article discusses a parking vehicles model, which allows to consider the factors aff ecting the duration of parking: passenger traffi c, platform unoccupied time, the number of passengers carried, the number of wagons in the train. The article develops structural and mathematical models of passenger fl ows of a transport interchange hub, designed to study the dynamics of an intelligent control system for urban rail transport systems. As an example, when constructing a mathematical model, the interaction of passenger fl ows within the Dmitrovskaya transport-interchange hub was considered, in which there is an intersection of passenger fl ows of three urban rail transport systems: a tramway station, Dmitrovskaya station, which is a station of the Riga direction of Moscow railway and a stopping point of the MCD-2 line of the Moscow Central Diameters, the Dmitrovskaya station of the Moscow Metro.


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