{"title":"基于递归神经网络的非全局性差动驱动移动机器人鲁棒插值模型预测控制：计算复杂性与保守性","authors":"Mohsen Hadian, W. J. Zhang, Danial Etesami","doi":"10.1080/00207721.2024.2367711","DOIUrl":null,"url":null,"abstract":"This paper presents an improved Model Predictive Control (MPC) for path tracking of a nonholonomic mobile robot with a differential drive. Nonlinear dynamics and nonholonomic constraints make the o...","PeriodicalId":14398,"journal":{"name":"International Journal of Systems Science","volume":"50 1","pages":""},"PeriodicalIF":4.9000,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A robust interpolated model predictive control based on recurrent neural networks for a nonholonomic differential-drive mobile robot with quasi-LPV representation: computational complexity and conservatism\",\"authors\":\"Mohsen Hadian, W. J. Zhang, Danial Etesami\",\"doi\":\"10.1080/00207721.2024.2367711\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an improved Model Predictive Control (MPC) for path tracking of a nonholonomic mobile robot with a differential drive. Nonlinear dynamics and nonholonomic constraints make the o...\",\"PeriodicalId\":14398,\"journal\":{\"name\":\"International Journal of Systems Science\",\"volume\":\"50 1\",\"pages\":\"\"},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2024-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Systems Science\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1080/00207721.2024.2367711\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Systems Science","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1080/00207721.2024.2367711","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
A robust interpolated model predictive control based on recurrent neural networks for a nonholonomic differential-drive mobile robot with quasi-LPV representation: computational complexity and conservatism
This paper presents an improved Model Predictive Control (MPC) for path tracking of a nonholonomic mobile robot with a differential drive. Nonlinear dynamics and nonholonomic constraints make the o...
期刊介绍：
International Journal of Systems Science (IJSS) is a world leading journal dedicated to publishing high quality, rigorously reviewed, original papers that contribute to the methodology and practice in emerging systems engineering themes of intelligence, autonomy and complexity.
Modern systems are becoming more and more complex and sophisticated in their demand for performance, reliability and increasing autonomy. Historically, highly analytic and numeric-based methods have sufficed, frequently simplifying the problem to allow analytical tractability. Many manufactured and natural systems (biological, ecological and socio-economic) cannot be adequately represented or analyzed without requiring multiple interacting and interconnected frameworks and a common information-processing framework. A wide range of new theories, methodologies and techniques are required to ‘enable’ such systems, and thus engineering and integration to deal with these demands.
IJSS therefore encourages original submissions in these areas, with special focus on papers that are strongly novel as well as not being overly applied. Proposals for special issues in cutting-edge areas of systems science are encouraged, and should be discussed with the Editor-in-Chief.
Papers that cover those topics related to operations management and logistics will not be accepted for publication in IJSS. Instead they should be submitted directly to sister journal International Journal of Systems Science: Operations & Logistics.
Queries regarding submissions can be made by contacting the Editor-in-Chief, whose decision is final.
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