Skip to search boxSkip to navigationSkip to main content

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

Publication IDs

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

Host publication title

nan

Access to documents

Publication metrics

Metrics

Scopus
citations
4, opens in new tab

PlumX, opens in new tab

Citation count
4
Captures
9

Related Event

Title

2012 IEEE 51st IEEE Conference on Decision and Control (CDC)

Description

2012 IEEE 51st IEEE Conference on Decision and Control (CDC) (10/12/2012-13/12/2012, Maui)

Event type

Conference

Date

10/12/2012 - 13/12/2012

Location

Maui