Simulation of complex environments:the Fuzzy Cognitive Agent

The world is becoming increasingly competitive by the action of liberalised national and global markets. In parallel these markets have become increasingly complex making it difficult for participants to optimise their trading actions. In response, many differing computer simulation techniques have been investigated to develop either a deeper understanding of these evolving markets or to create effective system support tools. In this paper we report our efforts to develop a novel simulation platform using fuzzy cognitive agents (FCA). Our approach encapsulates fuzzy cognitive maps (FCM) generated on the Matlab Simulink platform within commercially available agent software. We firstly present our implementation of Matlab Simulink FCMs and then show how such FCMs can be integrated within a conceptual FCA architecture. Finally we report on our efforts to realise an FCA by the integration of a Matlab Simulink based FCM with the Jack Intelligent Agent Toolkit

IDF-Autoware: Integrated Development Framework for ROS-Based Self-Driving Systems Using MATLAB/Simulink

This paper proposes an integrated development framework that enables co-simulation and operation of a Robot Operating System (ROS)-based self-driving system using MATLAB/Simulink (IDF-Autoware). The management of self-driving systems is becoming more complex as the development of self-driving technology progresses. One approach to the development of self-driving systems is the use of ROS; however, the system used in the automotive industry is typically designed using MATLAB/Simulink, which can simulate and evaluate the models used for self-driving. These models are incompatible with ROS-based systems. To allow the two to be used in tandem, it is necessary to rewrite the C++ code and incorporate them into the ROS-based system, which makes development inefficient. Therefore, the proposed framework allows models created using MATLAB/Simulink to be used in a ROS-based self-driving system, thereby improving development efficiency. Furthermore, our evaluations of the proposed framework demonstrated its practical potential

Využitie kosimulácie pri riadení predohrevu zlievarenskej formy ako systému s rozloženými parametrami

The paper deals with problematics of the control of the casting mold preheating process as a distributed parameters system. At the beginning the casting mold and the concept of the distributed parameters systems are introduced. Then there are descriptions of a model designed in COMSOL Multiphysics, system identification and a prepared scheme model for controllers parameters settings in the MATLAB & Simulink environment with advanced product DPS Blockset for MATLAB & Simulink. In the end cosimulation of the software tools COMSOL Multiphysics and MATLAB & Simulink is described and achieved results are analyzed.Predkladaný článok rieši problematiku riadenia predohrevu zlievarenskej formy ako systému s rozloženými parametrami. Úvodom je predstavená zlievarenská forma a následne je uvádzaný koncept systémov s rozloženými parametrami. Následne je opísaný model vytvorený v COMSOL Multiphysics. Po vykonanej identifikácií je opísaný prípravný obvod na nastavenie parametrov regulátorov v prostredí MATLAB & Simulink s nadstavbovým produktom DPS Blockset pre MATLAB & Simulink. Na záver článku je opísaná kosimulácia programov COMSOL Multiphysics a MATLAB & Simulink a zhodnotenie dosiahnutých výsledkov

Tvarování vstupu pro podtlumené systémy

The main aim of this paper is to provide possibility to test and validate multiple damping and input shaping methods for underdamped systems. Mathematical model for specific development and demonstration was created in Matlab Simscape environment. Additional Matlab Simulink system was modelled to achieve proper data acquisition and comparison in contrast to plain system without any special damping methods.Hlavním cílem této práce je poskytnout možnost testování a validace více metod tlumení a vstupních tvarů u podtlumených systémů. Matematický model pro specifický vývoj a demonstraci byl vytvořen v prostředí Matlab Simscape. Další systém Matlab Simulink byl modelován tak, aby dosáhl správného získávání a srovnání dat v porovnání s běžným systémem bez zvláštních metod tlumení

Robot virtual prototype in ADAMS

Tato práce se zabývá vytvořením virtuálního modelu robotu v ADAMS a co-simulačním propojením tohoto modelu s návrhem řízení v Matlab/Simulink. Robotem je segway Pierot vytvořený v rámci předchozích závěrečných prací. Obsahem této práce je vytvoření multi-body modelu, volba pohonu vytvoření co-simulačního propojení a samotná co-simulace.The goal of this work is to create virtual model of robot in ADAMS and co-simulation link between ADAMS and control system in Matlab/Simulink. Robot is segway robot called Pierot, created as the result of past final works. In this work is described creation of robot's multi-body model, choice of the motor, creation of co-simulation link and co-simulation itself.

Advanced nonlinear modelling techniques for switched reluctance machines

This paper gives an overview of different modelling techniques to describe the nonlinear behaviour of both saturated switched reluctance machine (SRM) and power electronic converter. The current research contributes by comparing the de-coupled single-phase superposition method (lookup-tables) with a coupled analysis between drive model in Matlab/Simulink® and finite element model of the SRM motor. Experimental characterization techniques as well as finite element techniques are used to obtain the single-phase flux-linkage data. Transient electromagnetic analysis using the finite element method,coupled with a drive model and optimization strategy in Matlab/Simulink®, results in a more accurate SRM modelling. These results are more accurate because the mutual coupling between different phases is taken into account. Using this direct coupling, a complete analysis of the motor behaviour (local saturation, iron losses, …) can be modelled with the finite element software, keeping the complex drive and control strategy in Matlab/Simulink®.At every time step of the discrete solver, data is exchanged between the drive model and the coupled electric circuit of the finite element analysis.Simulation results are compared with measurements offlux-linkage, torque, phase current and iron losses. Pro’s and contra’s of the coupled and de-coupled modelling technique are discussed

Fully automatic worst-case execution time analysis for MATLAB/Simulink models

“This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder." “Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.”In today's technical world (e.g., in the automotive industry), more and more purely mechanical components get replaced by electro-mechanical ones. Thus the size and complexity of embedded systems steadily increases. To cope with this development, comfortable software engineering tools are being developed that allow a more functionality-oriented development of applications. The paper demonstrates how worst-case execution time (WCET) analysis is integrated into such a high-level application design and simulation tool MATLAB/Simulink-thus providing a higher-level interface to WCET analysis. The MATLAB/Simulink extensions compute and display worst-case timing data for all blocks of a MATLAB/Simulink simulation, which gives the developer of an application valuable feedback about the correct timing of the application being developed. The solution facilitates a fully-automated WCET analysis, i.e., in contrast to existing approaches the programmer does not have to provide path information

Использование пакета MATLAB для разработки ПИД-регулятора и изучения его работы в системе управления движением объекта

MATLAB — SIMULINK package was used for studying of the PID regulator components of the system, controlling model moving.Пакет MATLAB — SIMULINK использован для изучения роли компонент ПИД-регулятора в системе управления движением модели объекта

Структурный синтез и анализ отказоустойчивых компьютерных систем

Рассмотрены вопросы структурного синтеза и анализа отказоустойчивых компьютерных систем на примере самопроверяемой квазимостиковой структуры. Приведены результаты моделирования структуры средствами пакетов программ RELIABmod и Matlab Simulink+StateflowРозглянуті питання структурного синтезу та аналізу відмовостійких систем на прикладі квазімісткової структури з самоперевіренням. Приведені результати моделювання структури засобами пакетів програм RELIABmod та Matlab Simulink+Stateflow.In this paper there were discussed the problems of structural synthesis and analysis of fault-tolerant computer systems: a case of self-checking quasibridging structure. The results of structure modeling by means of RELIABmod and Matlab Simulink + Stateflow software packages were given

Evaluation of Variability Concepts for Simulink in the Automotive Domain

Modeling variability in Matlab/Simulink becomes more and more important. We took the two variability modeling concepts already included in Matlab/Simulink and our own one and evaluated them to find out which one is suited best for modeling variability in the automotive domain. We conducted a controlled experiment with developers at Volkswagen AG to decide which concept is preferred by developers and if their preference aligns with measurable performance factors. We found out that all existing concepts are viable approaches and that the delta approach is both the preferred concept as well as the objectively most efficient one, which makes Delta-Simulink a good solution to model variability in the automotive domain.Comment: 10 pages, 7 figures, 6 tables, Proceedings of 48th Hawaii International Conference on System Sciences (HICSS), pp. 5373-5382, Kauai, Hawaii, USA, IEEE Computer Society, 201