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A norm optimal iterative learning control based train trajectory tracking approach

  • Beijing Jiaotong University
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Abstract

A norm optimal iterative learning control (NOILC) is proposed and applied in train trajectory tracking problem, and it then is extended to the cases with traction/braking constraint. Rigorous theoretical analysis has shown that the proposed approach can guarantee the asymptotic convergence of train speed and position to desired profiles as iteration number goes infinity. Simulation results further demonstrate the effectiveness of the proposed NOILC approach.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Publication milestones

  • Published - 04/02/2013

Publication status

Published - 04/02/2013

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

External Publication IDs

  • handle.net: 10547/297886
  • Scopus: 84874271759

Host publication title

nan

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