{"title":"The Control of environmental pollution and optimal investment and employment decisions: A Discussion of methodological and modelling issues","authors":"B. A. Forster","doi":"10.1002/OCA.4660090309","DOIUrl":null,"url":null,"abstract":"In a recent issue of this Journal, Lin1 analyses a pollution control model that is designed to include adjustment costs, investment, employment and inflation. His analysis of the control theoretic solution appears to contain a number of errors which are pointed out below. Also, the model that he constructs has some awkward features in the view of this analyst. My concerns with the model are outlined in the second section of this comment.","PeriodicalId":54672,"journal":{"name":"Optimal Control Applications & Methods","volume":"9 1","pages":"333-336"},"PeriodicalIF":2.0000,"publicationDate":"2007-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/OCA.4660090309","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optimal Control Applications & Methods","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1002/OCA.4660090309","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
In a recent issue of this Journal, Lin1 analyses a pollution control model that is designed to include adjustment costs, investment, employment and inflation. His analysis of the control theoretic solution appears to contain a number of errors which are pointed out below. Also, the model that he constructs has some awkward features in the view of this analyst. My concerns with the model are outlined in the second section of this comment.
期刊介绍：
Optimal Control Applications & Methods provides a forum for papers on the full range of optimal and optimization based control theory and related control design methods. The aim is to encourage new developments in control theory and design methodologies that will lead to real advances in control applications. Papers are also encouraged on the development, comparison and testing of computational algorithms for solving optimal control and optimization problems. The scope also includes papers on optimal estimation and filtering methods which have control related applications. Finally, it will provide a focus for interesting optimal control design studies and report real applications experience covering problems in implementation and robustness.
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