Description

• Title:
  Iterative learning control with sampled-data feedback for robot manipulators
• Creator:
  Kamen Delchev;
  Boiadjiev, George;
  Haruhisa Kawasaki;
  Tetsuya Mouri
• Description:
  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
• Object availability:
  free access
• Date:
  2014
• Source:
  Archives of Control Sciences; 2014; No 3
• Publisher:
  Committee of Automatic Control and Robotics PAS
• Subject:
  Nauki Techniczne
• Identifier:
  ISSN 1230-2384
• Data provider:
  Czasopisma PAN
• Can I use it?:
  seek permission
• Type:
  other