<doi_batch xmlns="http://www.crossref.org/schema/4.4.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" version="4.4.0"><head><doi_batch_id>271ccda8-715b-4a8a-a712-f7bfd297a845</doi_batch_id><timestamp>20250313080343219</timestamp><depositor><depositor_name>wseas:wseas</depositor_name><email_address>mdt@crossref.org</email_address></depositor><registrant>MDT Deposit</registrant></head><body><journal><journal_metadata language="en"><full_title>WSEAS TRANSACTIONS ON SYSTEMS</full_title><issn media_type="electronic">2224-2678</issn><issn media_type="print">1109-2777</issn><archive_locations><archive name="Portico"/></archive_locations><doi_data><doi>10.37394/23202</doi><resource>http://wseas.org/wseas/cms.action?id=4067</resource></doi_data></journal_metadata><journal_issue><publication_date media_type="online"><month>1</month><day>2</day><year>2024</year></publication_date><publication_date media_type="print"><month>1</month><day>2</day><year>2024</year></publication_date><journal_volume><volume>23</volume><doi_data><doi>10.37394/23202.2024.23</doi><resource>https://wseas.com/journals/systems/2024.php</resource></doi_data></journal_volume></journal_issue><journal_article language="en"><titles><title>An Optimal Landing Problem for a Bessel Process</title></titles><contributors><person_name sequence="first" contributor_role="author"><given_name>Mario</given_name><surname>Lefebvre</surname><affiliation>Department of Mathematics and Industrial Engineering, Polytechnique Montréal, 2500, chemin de Polytechnique, Montréal (Québec) H3T 1J4, CANADA</affiliation></person_name></contributors><jats:abstract xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1"><jats:p>A homing problem for a one-dimensional Bessel diffusion process is considered. The aim is to bring the controlled process to a value representing ground level as quickly as possible while taking the control costs into account. The cost function includes a parameter that takes the risk sensitivity of the optimizer into account. An explicit solution is found for both the value function and the optimal control in a particular problem.</jats:p></jats:abstract><publication_date media_type="online"><month>12</month><day>31</day><year>2024</year></publication_date><publication_date media_type="print"><month>12</month><day>31</day><year>2024</year></publication_date><pages><first_page>517</first_page><last_page>520</last_page></pages><publisher_item><item_number item_number_type="article_number">53</item_number></publisher_item><ai:program xmlns:ai="http://www.crossref.org/AccessIndicators.xsd" name="AccessIndicators"><ai:free_to_read start_date="2024-12-31"/><ai:license_ref applies_to="am" start_date="2024-12-31">https://wseas.com/journals/systems/2024/b085102-035(2024).pdf</ai:license_ref></ai:program><archive_locations><archive name="Portico"/></archive_locations><doi_data><doi>10.37394/23202.2024.23.53</doi><resource>https://wseas.com/journals/systems/2024/b085102-035(2024).pdf</resource></doi_data><citation_list><citation key="ref0"><unstructured_citation>M. Lefebvre, LQG homing problems for processes used in financial mathematics, Revue Roumaine de Mathématiques Pures et Appliquées, Vol. 63, 2018, pp. 27–37. </unstructured_citation></citation><citation key="ref1"><unstructured_citation>P. Whittle, Optimization over Time, vol. I. Chichester (UK): Wiley, 1982. </unstructured_citation></citation><citation key="ref2"><unstructured_citation>P. Whittle, Risk-Sensitive Optimal Control, Chichester (UK): Wiley, 1990. </unstructured_citation></citation><citation key="ref3"><doi>10.1109/9.83548</doi><unstructured_citation>R. Rishel, Controlled wear process: modeling optimal control, IEEE Transactions on Automatic Control, Vol. 36, No. 9, 1991, pp. 1100–1102. DOI: 10.1109/9.83548. </unstructured_citation></citation><citation key="ref4"><doi>10.1007/s11009-020-09800-2</doi><unstructured_citation>M. Kounta and N. J. Dawson, Linear quadratic Gaussian homing for Markov processes with regime switching and applications to controlled population growth/decay, Methodology and Computing in Applied Probability, Vol. 23, 2021, pp. 1155–1172. DOI: 10.1007/s11009- 020-09800-2. </unstructured_citation></citation><citation key="ref5"><doi>10.1109/tac.2022.3157077</doi><unstructured_citation>C. Makasu, Homing problems with control in the diffusion coefficient, IEEE Transactions on Automatic Control, Vol. 67, No. 7, 2022, pp. 3770–3772. DOI: 10.1109/TAC.2022.3157077. </unstructured_citation></citation><citation key="ref6"><doi>10.1016/j.automatica.2024.111575</doi><unstructured_citation>C. Makasu, Bounds for a risk-sensitive homing problem, Automatica, Vol. 163, 2024, 111575. https://doi.org/10.1016/j.automatica.2024.1115 75. </unstructured_citation></citation><citation key="ref7"><unstructured_citation>R. Bellman, Dynamic Programming, Princeton, NJ: Princeton University Press, 1957. </unstructured_citation></citation><citation key="ref8"><unstructured_citation>S. Karlin and H. M. Taylor, A Second Course in Stochastic Processes, New York: Academic Press, 1981. </unstructured_citation></citation><citation key="ref9"><doi>10.2307/3213947</doi><unstructured_citation>J. Kuhn, The risk-sensitive homing problem, Journal of Applied Probability, Vol. 22, No. 4, 1985, pp. 796–803. DOI: 10.2307/3213947.</unstructured_citation></citation></citation_list></journal_article></journal></body></doi_batch>