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Enhancing automic and optimal control systems through graphical structures.
Panda, Sumati Kumari; Khan, Ilyas; Velusamy, Vijayakumar; Niazai, Shafiullah.
Afiliação
  • Panda SK; Department of Mathematics, GMR Institute of Technology, Rajam, Andhra Pradesh, 532127, India. mumy143143143@gmail.com.
  • Khan I; Department of Mathematics, College of Science Al-Zulfi, Majmaah University, 11952, Al-Majmaah, Saudi Arabia. i.said@mu.edu.sa.
  • Velusamy V; Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, Tamil Nadu, 632 014, India.
  • Niazai S; Department of Mathematics, Education Faculty, Laghman University, Mehtarlam City, Laghman, 2701, Afghanistan. shafiullahniazai@lu.edu.af.
Sci Rep ; 14(1): 3139, 2024 Feb 07.
Article em En | MEDLINE | ID: mdl-38326385
ABSTRACT
The concept of graphical structures of extended suprametric space is introduced in this study and applied to supra-graphical contractive mapping. A recursive algorithm in connection with graphical notions can be employed in adaptive systems to construct a desired output function iteratively after specific conditions are first defined to ensure the existence of the solution by use of supra-graphical contractive mapping. After analyzing the historical context and relevant outcomes, we discuss the usage of graphical structures and supra-graphical contractive mappings in the conceptual frameworks of adaptive control and optimal control systems.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article