{"title":"Neural network control for nonlinear industrial processes and discrete systems","authors":"M. Chawla, C. M. Pauddar, N. Somani, B. Sarkar","doi":"10.1109/IECON.1993.339058","DOIUrl":null,"url":null,"abstract":"This paper presents a neural network controller For controlling nonlinear industrial processes and nonlinear discrete time varying delay systems. The paper considers the control of a 3/spl times/3 nonlinear dynamical system which exhibits different but constant delays in inputs. Another feature of this paper is that it is intended to provide control for a very general class of unknown discrete nonlinear processes. Extensive analysis is used in development of various parts of the control scheme, that is also verified by the simulation result of a nominal nonlinear process. The different nonlinearities are considered along with their modelling in this paper.<<ETX>>","PeriodicalId":132101,"journal":{"name":"Proceedings of IECON '93 - 19th Annual Conference of IEEE Industrial Electronics","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IECON '93 - 19th Annual Conference of IEEE Industrial Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECON.1993.339058","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents a neural network controller For controlling nonlinear industrial processes and nonlinear discrete time varying delay systems. The paper considers the control of a 3/spl times/3 nonlinear dynamical system which exhibits different but constant delays in inputs. Another feature of this paper is that it is intended to provide control for a very general class of unknown discrete nonlinear processes. Extensive analysis is used in development of various parts of the control scheme, that is also verified by the simulation result of a nominal nonlinear process. The different nonlinearities are considered along with their modelling in this paper.<>