Control the tumour growth via sliding mode control

A. P. Shahri, S. Haghighatnia, R. Moghaddam, H. Kobravi
{"title":"Control the tumour growth via sliding mode control","authors":"A. P. Shahri, S. Haghighatnia, R. Moghaddam, H. Kobravi","doi":"10.1504/IJMEI.2017.10002633","DOIUrl":null,"url":null,"abstract":"Cancer immunotherapy aims at provoke an immune response against tumour, which is done by the use of natural and synthetic substances. In this paper, due to uncertainties in tumour growth model as a nonlinear system, a sliding mode control based on the Lyapunov stability theory is designed to achieve the effective dose in immunotherapy treatment. Also, so as to provide a virtual patient to design a sliding mode controller, the description on the identification process for a particular cancer mathematical model under the immunotherapy treatment by recurrent neural networks is done. An appropriate sliding surface is acquired through a sliding mode control design such that the state trajectories of system will reach to desirable values. As a consequence, the system is simulated to demonstrate the efficacy of the presented method.","PeriodicalId":193362,"journal":{"name":"Int. J. Medical Eng. Informatics","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Medical Eng. Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJMEI.2017.10002633","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Cancer immunotherapy aims at provoke an immune response against tumour, which is done by the use of natural and synthetic substances. In this paper, due to uncertainties in tumour growth model as a nonlinear system, a sliding mode control based on the Lyapunov stability theory is designed to achieve the effective dose in immunotherapy treatment. Also, so as to provide a virtual patient to design a sliding mode controller, the description on the identification process for a particular cancer mathematical model under the immunotherapy treatment by recurrent neural networks is done. An appropriate sliding surface is acquired through a sliding mode control design such that the state trajectories of system will reach to desirable values. As a consequence, the system is simulated to demonstrate the efficacy of the presented method.
通过滑模控制控制肿瘤生长
癌症免疫疗法的目的是激发对肿瘤的免疫反应,这是通过使用天然和合成物质来实现的。本文针对肿瘤生长模型作为非线性系统的不确定性,设计了一种基于Lyapunov稳定性理论的滑模控制,以实现免疫治疗中的有效剂量。同时,为了提供一个虚拟的病人来设计滑模控制器,描述了在递归神经网络免疫治疗下特定癌症数学模型的辨识过程。通过滑模控制设计获得合适的滑动面,使系统的状态轨迹达到理想值。最后,对该系统进行了仿真,验证了该方法的有效性。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信