Opis

• Tytuł:
  Robust controlled vector variational inequalities for multi-dimensional fractional control optimization problems
• Twórca:
  Jayswal, Anurag;
  Baranwal, Ayushi;
  Arana-Jiménez, Manuel
• Współtwórca:
  Jayswal, Anurag : Department of Mathematics and Computing, Indian Institute of Technology,(Indian School of Mines), Dhanbad-826004, India;
  Baranwal, Ayushi : Department of Mathematics and Computing, Indian Institute of Technology,(Indian School of Mines), Dhanbad-826004, India;
  Arana-Jiménez, Manuel : Department of Statistics and Operational Research, Faculty of SSCC and Communication, University of Cádiz, Cádiz-11003, Spain
• Opis:
  Archives of Control Sciences welcomes for consideration papers on topics of significance in broadly understood control science and related areas, including: basic control theory, optimal control, optimization methods, control of complex systems, mathematical modeling of dynamic and control systems, expert and decision support systems and diverse methods of knowledge modelling and representing uncertainty (by stochastic, set-valued, fuzzy or rough set methods, etc.), robotics and flexible manufacturing systems. Related areas that are covered include information technology, parallel and distributed computations, neural networks and mathematical biomedicine, mathematical economics, applied game theory, financial engineering, business informatics and other similar fields. Aims and Scope: Archives of Control Sciences publishes papers in the broadly understood field of control science and related areas while promoting the closer integration of the Polish, as well as other Central and East European scientific communities with the international world of science. IMPACT FACTOR 2022: 1.2 CiteScore 2022: 2.7 SCImago Journal Rank (SJR) 2022: 0.304 Source Normalized Impact per Paper (SNIP) 2021: 0.570
• Dostępność obiektu:
  Dostęp otwarty
• Data:
  2024.07.04
• Typ:
  Article
• Zakres:
  349–377
• Wydawca:
  Committee of Automatic Control and Robotics PAS
• Temat i słowa kluczowe:
  Nauki Techniczne
• Identyfikator:
  ISSN 1230-2384
• Dostawca danych:
  Czasopisma PAN
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