Sustainable Resource https://ojs.acad-pub.com/index.php/SR <p><em>Sustainable Resource</em> (SR) is an international, scholarly, open-access journal on the management and utilization of resources. It publishes reviews, original research papers, communications, and short notes, and there is no restriction on the maximum length of the papers. Our aim is to encourage scientists to publish their research in as much detail as possible, whether theoretical, empirical, or experimental. Full details regarding methods must be provided so that findings can be reproduced.</p> <p>Topics include but are not limited to:</p> <ul> <li class="show">Natural Resources</li> <li class="show">Mineral and Geo-resources</li> <li class="show">Land and Ecological Resources</li> <li class="show">Plant and Animal Resources</li> <li class="show">Water Resources</li> <li class="show">Energy Resources</li> <li class="show">Sustainable Resources and Policy</li> <li class="show">Circular Economy</li> </ul> en-US editorial_office@acad-pub.com (Managing Editor) admin@acad-pub.com (IT Support) Fri, 08 Nov 2024 08:42:51 +0000 OJS 3.1.2.4 http://blogs.law.harvard.edu/tech/rss 60 Bifurcation analysis and multiobjective nonlinear model predictive control of forests global warming and carbon dioxide emission https://ojs.acad-pub.com/index.php/SR/article/view/1640 <p>Bifurcation analysis and multiobjective nonlinear model predictive control calculations are performed on problems involving forestation, human population growth, global warming and carbon dioxide emission. The bifurcation analysis confirms the existence of the oscillation causing Hopf bifurcations. An activation factor involving the tanh function is shown to eliminate the Hopf bifurcations. The multiobjective nonlinear model predictive control (MNLMPC) calculations were performed taking into account the inevitable human population growth and reduction in forest area to obtain control parameters that can be most beneficial. Bifurcation analysis was performed using the MATLAB software MATCONT while the multiobjective nonlinear model predictive control was performed by using the optimization language PYOMO.<b></b></p> Lakshmi N. Sridhar Copyright (c) 2024 Lakshmi N. Sridhar https://creativecommons.org/licenses/by/4.0/ https://ojs.acad-pub.com/index.php/SR/article/view/1640 Tue, 12 Nov 2024 06:25:23 +0000