Numerical Simulations for an Experimental Test Bed for Adaptive Control Methods

2019 IEEE 17th International Symposium on Intelligent Systems and Informatics (SISY) Pub Date : 2019-09-01 DOI:10.1109/SISY47553.2019.9111546

Á. Varga, G. Eigner, J. Tar

{"title":"Numerical Simulations for an Experimental Test Bed for Adaptive Control Methods","authors":"Á. Varga, G. Eigner, J. Tar","doi":"10.1109/SISY47553.2019.9111546","DOIUrl":null,"url":null,"abstract":"The Doctoral School of Applied Informatics and Applied Mathematics of Óbuda University is deeply involved in the research of novel adaptive and adaptive optimal methodologies for the control of strongly nonlinear systems that cannot be tackled by linearization in the vicinity of some “point of steady operation”. Besides the use of modern simulation tools the application of a “cheap” hardware construction for experimental verification of the theoretically proved, and simulations-confirmed results is a practical must in both the MSc and PhD level education. For this purpose, in 2018, the initial steps for the development of a test bed were reported. In the present paper its further development and the results of new simulation tests are summarized. The main point is to simultaneously tackle the consequences of modeling imprecisions, observation noises, unknown external disturbances, and information loss in the control feedback system for testing Fixed Point Iteration-based adaptive controllers on strongly nonlinear basis.","PeriodicalId":256922,"journal":{"name":"2019 IEEE 17th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 17th International Symposium on Intelligent Systems and Informatics (SISY)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SISY47553.2019.9111546","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

Abstract

The Doctoral School of Applied Informatics and Applied Mathematics of Óbuda University is deeply involved in the research of novel adaptive and adaptive optimal methodologies for the control of strongly nonlinear systems that cannot be tackled by linearization in the vicinity of some “point of steady operation”. Besides the use of modern simulation tools the application of a “cheap” hardware construction for experimental verification of the theoretically proved, and simulations-confirmed results is a practical must in both the MSc and PhD level education. For this purpose, in 2018, the initial steps for the development of a test bed were reported. In the present paper its further development and the results of new simulation tests are summarized. The main point is to simultaneously tackle the consequences of modeling imprecisions, observation noises, unknown external disturbances, and information loss in the control feedback system for testing Fixed Point Iteration-based adaptive controllers on strongly nonlinear basis.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

自适应控制方法实验试验台的数值模拟

Óbuda大学应用信息学与应用数学博士学院致力于强非线性系统的新型自适应和自适应最优控制方法的研究，以解决在某个“稳定运行点”附近不能通过线性化来解决的问题。除了使用现代仿真工具外，应用“廉价”的硬件结构对理论证明和仿真证实的结果进行实验验证，这在硕士和博士水平的教育中都是必须的。为此，在2018年，报告了试验台开发的初步步骤。本文综述了该方法的进一步发展和新的仿真试验结果。重点是同时解决控制反馈系统中建模不精确、观测噪声、未知外部干扰和信息丢失的后果，以测试基于固定点迭代的强非线性自适应控制器。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

2019 IEEE 17th International Symposium on Intelligent Systems and Informatics (SISY)

自引率

0.00%

发文量

期刊最新文献

Jensen type inequality for the bipolar Shilkret and Sugeno integrals SISY 2019 Authors Index Event-driven Fuzzy Inference System Implementation in Node-RED Evaluation of Digitalized Handwriting for Dysgraphia Detection Using Random Forest Classification Method Laboratory Environment for Algorithms Testing in Mobile Robotics