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Author:

Fu, Anqi (Fu, Anqi.) | Chen, Sijia (Chen, Sijia.) | Qiao, Junfei (Qiao, Junfei.) | Yu, Chengpu (Yu, Chengpu.)

Indexed by:

EI Scopus

Abstract:

Cooperative Adaptive Cruise Control (CACC) based vehicle platooning can increase the safety and efficiency of traffic. This work looks into the communication and control problems of vehicle platooning, and proposes a control and communication co-design for CACC. First, an integrated radar system is presented. This system integrates sensing of relative position, speed, and communication between a predecessor and its follower. Second, a working scheme for the integrated radar system is presented. This scheme allows the radar systems to switch periodically between different working modes without interferences from other modes. Therefore, the relative position, speed, and communication can be asynchronously periodically updated to the controller. Third, a periodic event-triggered control approach is presented. This approach allows asynchronous periodic sampling of the output, and is deeply co-designed with the radar system and its working scheme. Delays are also considered in the control approach. The co-design CACC approach can guarantee the vehicle platoons to be string stable. A numerical example has shown the feasibility of the approach.

Keyword:

Periodic event-triggered control cooperative adaptive cruise control vehicle-to-vehicle communication vehicle platooning control and communication co-design

Author Community:

  • [ 1 ] [Fu, Anqi]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China
  • [ 2 ] [Chen, Sijia]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China
  • [ 3 ] [Qiao, Junfei]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China
  • [ 4 ] [Fu, Anqi]Beijing Univ Technol, Key Lab Computat Intelligence & Intelligent Syst, Beijing, Peoples R China
  • [ 5 ] [Chen, Sijia]Beijing Univ Technol, Key Lab Computat Intelligence & Intelligent Syst, Beijing, Peoples R China
  • [ 6 ] [Qiao, Junfei]Beijing Univ Technol, Key Lab Computat Intelligence & Intelligent Syst, Beijing, Peoples R China
  • [ 7 ] [Fu, Anqi]Beijing Lab Smart Environm Protect, Beijing, Peoples R China
  • [ 8 ] [Chen, Sijia]Beijing Lab Smart Environm Protect, Beijing, Peoples R China
  • [ 9 ] [Qiao, Junfei]Beijing Lab Smart Environm Protect, Beijing, Peoples R China
  • [ 10 ] [Fu, Anqi]Beijing Artificial Intelligence Inst, Beijing, Peoples R China
  • [ 11 ] [Chen, Sijia]Beijing Artificial Intelligence Inst, Beijing, Peoples R China
  • [ 12 ] [Qiao, Junfei]Beijing Artificial Intelligence Inst, Beijing, Peoples R China
  • [ 13 ] [Yu, Chengpu]Beijing Inst Technol, China & Beijing Inst Technol Chongqing Innovat Ct, Sch Automat, Beijing, Peoples R China

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Source :

ACM TRANSACTIONS ON CYBER-PHYSICAL SYSTEMS

ISSN: 2378-962X

Year: 2023

Issue: 4

Volume: 7

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 11

Affiliated Colleges:

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