• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Dong, Longfei (Dong, Longfei.) | Chen, Yangzhou (Chen, Yangzhou.) (Scholars:陈阳舟) | Qu, Xiaojun (Qu, Xiaojun.)

Indexed by:

CPCI-S Scopus

Abstract:

This paper proposes a novel formation control strategy for nonholonomic intelligent vehicles based on virtual structure and consensus approach. The formation model is obtained based on the coordinate transformation and the virtual structure technique. The controllers are designed by using nonholonomic target tracking technique and leader -following consensus protocol. Depending on virtual structure approach and coordinate transformation, the formation control problem of multiple nonholonomic intelligent vehicles is converted into the target tracking and state consensus stabilization problem. Simulation and real-world experimental results show the correctness and effectiveness of the strategy. (C) 2016 The Authors. Published by Elsevier Ltd.

Keyword:

Virtual structure Consensus Formation control Nonholonomic intelligent vehicle

Author Community:

  • [ 1 ] [Dong, Longfei]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Chen, Yangzhou]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Qu, Xiaojun]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China

Reprint Author's Address:

  • 陈阳舟

    [Chen, Yangzhou]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China

Show more details

Related Keywords:

Related Article:

Source :

GREEN INTELLIGENT TRANSPORTATION SYSTEM AND SAFETY

ISSN: 1877-7058

Year: 2016

Volume: 138

Page: 415-424

Language: English

Cited Count:

WoS CC Cited Count: 45

SCOPUS Cited Count: 64

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

Online/Total:668/10645050
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.