{"title":"基于标准神经网络模型的离散非线性系统鲁棒输出反馈控制器","authors":"Jianhai Zhang, Wanzeng Kong, Sanqing Hu","doi":"10.1109/IWACI.2010.5585169","DOIUrl":null,"url":null,"abstract":"Neural networks and T-S fuzzy systems have been widely used in nonlinear system control. Standard neural network model (SNNM) can be used to describe intelligent systems composed of neural networks or T-S fuzzy models, and so provides a common controller synthesis framework for these kinds of systems. This paper investigates robust output feedback controller synthesis of discrete-time nonlinear systems based on SNNM. A new output feedback controller design technique for discrete-time SNNM in terms of linear matrix inequality is proposed. The aforementioned intelligent systems can be transformed into SNNM for controller synthesis in a unified way. The numerical example and simulation result show that the presented method is effective and provide a new approach to the nonlinear system controller synthesis.","PeriodicalId":189187,"journal":{"name":"Third International Workshop on Advanced Computational Intelligence","volume":"119 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Robust output feedback controller for discrete-time nonlinear systems based on standard neural network model\",\"authors\":\"Jianhai Zhang, Wanzeng Kong, Sanqing Hu\",\"doi\":\"10.1109/IWACI.2010.5585169\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Neural networks and T-S fuzzy systems have been widely used in nonlinear system control. Standard neural network model (SNNM) can be used to describe intelligent systems composed of neural networks or T-S fuzzy models, and so provides a common controller synthesis framework for these kinds of systems. This paper investigates robust output feedback controller synthesis of discrete-time nonlinear systems based on SNNM. A new output feedback controller design technique for discrete-time SNNM in terms of linear matrix inequality is proposed. The aforementioned intelligent systems can be transformed into SNNM for controller synthesis in a unified way. The numerical example and simulation result show that the presented method is effective and provide a new approach to the nonlinear system controller synthesis.\",\"PeriodicalId\":189187,\"journal\":{\"name\":\"Third International Workshop on Advanced Computational Intelligence\",\"volume\":\"119 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Third International Workshop on Advanced Computational Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWACI.2010.5585169\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Third International Workshop on Advanced Computational Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWACI.2010.5585169","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Robust output feedback controller for discrete-time nonlinear systems based on standard neural network model
Neural networks and T-S fuzzy systems have been widely used in nonlinear system control. Standard neural network model (SNNM) can be used to describe intelligent systems composed of neural networks or T-S fuzzy models, and so provides a common controller synthesis framework for these kinds of systems. This paper investigates robust output feedback controller synthesis of discrete-time nonlinear systems based on SNNM. A new output feedback controller design technique for discrete-time SNNM in terms of linear matrix inequality is proposed. The aforementioned intelligent systems can be transformed into SNNM for controller synthesis in a unified way. The numerical example and simulation result show that the presented method is effective and provide a new approach to the nonlinear system controller synthesis.