Kategorija SAUM24

Data-driven Approaches for Intelligent Control in District Heating Systems

XVII International Conference on Systems, Automatic Control and Measurements, SAUM 2024 (pp. 35-38)AUTOR(I) / AUTHOR(S): Dušan Stojiljković , Ivan Ćirić , Stevica Cvetković , Rajko Turudija , Danijela Srećković Download Full Pdf  DOI:  10.46793 / ABSTRACT:An intelligent control system to manage district heating systems is presented in…

DetaljnijeData-driven Approaches for Intelligent Control in District Heating Systems

Comparative Analysis of DC Motor Vibration Signal for Discrete and Continuous State Feedback Control of a Modular Servo System

XVII International Conference on Systems, Automatic Control and Measurements, SAUM 2024 (pp. 31-34)AUTOR(I) / AUTHOR(S): Anđela Đorđević , Jianxun Cui , Marko Milojković , Staniša Perić Download Full Pdf  DOI:  10.46793 / ABSTRACT:The goal of this research is distinguishing the control scheme which ensures…

DetaljnijeComparative Analysis of DC Motor Vibration Signal for Discrete and Continuous State Feedback Control of a Modular Servo System

Modeling, Control and Simulation of Differential Drive Mobile Platform

XVII International Conference on Systems, Automatic Control and Measurements, SAUM 2024 (pp. 27-30)AUTOR(I) / AUTHOR(S): Anđela Jovanović , Vladimir Mitić , Vladimir Sibinović , Boban Veselić Download Full Pdf  DOI:  10.46793 / ABSTRACT:Differential drive mobile platforms are common in the robotic world, for teaching, research, and…

DetaljnijeModeling, Control and Simulation of Differential Drive Mobile Platform

The Methodology for Calculating and Analyzing the Parameters of the Tripod Robot to Ensure Controllability in the Workspace

XVII International Conference on Systems, Automatic Control and Measurements, SAUM 2024 (pp. 22-26)AUTOR(I) / AUTHOR(S): Khalapyan Sergey , Rybak Larisa , Cherkasov Vladislav , Voloshkin Artem ,Download Full Pdf  DOI:  10.46793 / ABSTRACT:The paper discusses the methodology for calculating and presenting to the…

DetaljnijeThe Methodology for Calculating and Analyzing the Parameters of the Tripod Robot to Ensure Controllability in the Workspace

New Design of a Multirobotic System for Automation of Work with Biomaterials

XVII International Conference on Systems, Automatic Control and Measurements, SAUM 2024 (pp. 19-21)AUTOR(I) / AUTHOR(S): Rybak Larisa , Cherkasov Vladislav , Voloshkin Artem , Nozdracheva Anna Download Full Pdf  DOI:  10.46793 / ABSTRACT:The article presents the structure of a multirobotic system (MRS) for aliquoting…

DetaljnijeNew Design of a Multirobotic System for Automation of Work with Biomaterials

Design and Simulation of a Model Predictive Controller for a Balancing Robot

XVII International Conference on Systems, Automatic Control and Measurements, SAUM 2024 (pp. 15-18)AUTOR(I) / AUTHOR(S): Vladimir Sibinović , Vladimir Mitić , Anđela Jovanović , Darko Mitić Download Full Pdf  DOI:  10.46793 / ABSTRACT:This paper explores the design and implementation of a cart inverted pendulum system, controlled…

DetaljnijeDesign and Simulation of a Model Predictive Controller for a Balancing Robot

Integrated Satellite-Aerial-Terrestrial Networks for Data-collecting in IoT System with Wireless Powering

XVII International Conference on Systems, Automatic Control and Measurements, SAUM 2024 (pp. 6-14)AUTOR(I) / AUTHOR(S): Vesna Blagojević , Aleksandra Cvetković , Predrag Ivaniš , Jelena Manojlović Download Full Pdf  DOI:  10.46793 / ABSTRACT:The Internet of Things (IoT) has great impact on various aspects…

DetaljnijeIntegrated Satellite-Aerial-Terrestrial Networks for Data-collecting in IoT System with Wireless Powering

Adaptive Cooperative Control of Multi-traffic Signal Based on Multi-agent Reinforcement Learning

XVII International Conference on Systems, Automatic Control and Measurements, SAUM 2024 (pp. 1-5)AUTOR(I) / AUTHOR(S): Jianxun Cui , Boyuan Zhao Download Full Pdf  DOI:  10.46793 / ABSTRACT:Horizontal traffic signal intersection are the most common bottleneck areas in urban traffic operation. Due…

DetaljnijeAdaptive Cooperative Control of Multi-traffic Signal Based on Multi-agent Reinforcement Learning