DOI

Modern optimization ideology can be treated now as one of the most powerful instruments for the modeling, analysis and synthesis of various type dynamic systems, including sophisticated automatic controllers for providing guidance and control of marine crafts. Such a situation is explained by universality, flexibility, and convenience of modern optimization methods with respect to relevant marine control applications. This work represents some new results in the development and utilization of the optimization approach for the analysis and design of marine systems such as automatic weather routing, automatic steering, dynamic positioning and others. It is well known that these problems should be considered when taking into account a vast set of requirements, restrictions, and conditions to be satisfied by an appropriate choice of control decision. This determines a specific proposed way to formalize a practical problem in optimization manner. Correspondent partial situations are discussed with orientation to fuel economy, improved reliability and performance enhancement.

Original languageEnglish
Title of host publicationMaritime Transport, MT2019
EditorsG. Passerini, S. Ricci
PublisherWIT Press
Pages45-56
Number of pages12
ISBN (Print)9781784663476
DOIs
StatePublished - 2019
Event1st International Conference on Maritime Transport, MT2019 - Rome, Italy
Duration: 10 Sep 201912 Sep 2019

Publication series

NameWIT Transactions on the Built Environment
Volume187
ISSN (Print)1743-3509
ISSN (Electronic)1746-4498

Conference

Conference1st International Conference on Maritime Transport, MT2019
Country/TerritoryItaly
CityRome
Period10/09/1912/09/19

    Research areas

  • Control system, Marine vehicle, Optimization, Performance, Routing, Stability

    Scopus subject areas

  • Architecture
  • Civil and Structural Engineering
  • Building and Construction
  • Automotive Engineering
  • Safety, Risk, Reliability and Quality
  • Arts and Humanities (miscellaneous)
  • Transportation
  • Safety Research
  • Computer Science Applications

ID: 70833540