Communication and Control Algorithms for a Heterogenous Multi-agent System

Author(s):  
Andrei Cristian Dinu ◽  
Paul-Nicolae Ancuța ◽  
Victor-Marin Zafiu
Author(s):  
Ilkka Seilonen ◽  
Teppo Pirttioja ◽  
Antti Pakonen ◽  
Pekka Appelqvist ◽  
Aarne Halme ◽  
...  

Author(s):  
Maja Hadzic ◽  
Darshan S. Dillon

Mental illness is becoming one of the major problems of our society. The World Health Organization predicted that depression would be the world’s leading cause of disability by 2020. The exact causes of many mental illnesses are still unknown, mainly due to the complex nature of mental health. In this paper, the authors propose a multi-agent system designed to assist in effective and efficient management, retrieval and analysis of mental health information. They utilize the TICSA approach to define different agent Types, their Intelligence, Collaboration paths, address Security problems and Assemble individual agents. They use UML 2.1 Sequence and Composite diagrams to model social and goal-driven nature of the multi-agent system. The proposed multi-agent system has the potential to provide and expose the knowledge that will increase our understanding and control over mental health and help in development of effective prevention and intervention strategies.


2021 ◽  
Vol 31 (4) ◽  
pp. 609-627
Author(s):  
Mikhail V. Chugunov ◽  
Irina N. Polunina ◽  
Alexander G. Divin ◽  
Aleksandra A. Generalova ◽  
Artem A. Nikulin ◽  
...  

Introduction. The “Smart Agroˮ committee of Research and Education Center “Engineering of the Future” has identified a number of tasks relevant for improving the efficiency of precision, soil-protecting and conservation agriculture. One of these tasks is the development of a digital multi-agent system, which provides a number of services for agricultural enterprises, developers and manufacturers of agricultural machinery. The purpose of the present study is to model an autonomous mobile robotic platform, including the development of software and hardware for trajectory control. Materials and Methods. To solve the problem, there are used modern CAx systems and their applications, the methods of 3D and full-body modeling, and the method of numerical solution of problems in solid mechanics. To expand and improve the standard functionality of CAx-systems (SolidWorks) in the software implementation of trajectory control algorithms, the methods and technologies of programming using API SolidWorks, VisualStudio C++ (MFC, ATL, COM) are used, and to build physical full-scale models ‒ Arduino and fischertechnik platforms. Results. The result of the study is a software and hardware module of trajectory control for an integrated (physical and virtual) model of a mobile robotic platform, which can be provided to the consumer as a service for technology autonomation. For the developed integrated model, control algorithms for various types of trajectories were tested. Discussion and Conclusion. The developed integrated software and hardware model of trajectory control can be used by developers and manufacturers of agricultural machinery, and directly by agro-enterprises for implementing typical technological processes. A feature of the implementation is an open hardware and software interface that provides the integration of mobile robotic platforms based on a digital multi-agent system.


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