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author:

Tian, Guoqing (Tian, Guoqing.) [1] | Chen, Yutao (Chen, Yutao.) [2] (Scholars:陈宇韬) | Huang, Jie (Huang, Jie.) [3] (Scholars:黄捷)

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EI

Abstract:

In this paper, a double-layered formation control with prioritized missions composition is proposed for static formation of multi-agent systems. At the first cooperation layer, the motion trajectory of agents is planned by designing a distributed model predictive control (DMPC) strategy without obstacle avoidance constraints. At the second perception layer, a velocity in the agent-obstacle direction is generated to keep a safe distance between agent and obstacles. Finally, the outputs of the two layers are elaborately merged by the null-space-based control (NSBC). As a result, collision-free trajectories can be planned using few computational power. Simulation results show the effectiveness of the proposed formation control method. © 2021 Technical Committee on Control Theory, Chinese Association of Automation.

Keyword:

Model predictive control Multi agent systems

Community:

  • [ 1 ] [Tian, Guoqing]Fuzhou University, College of Electrical Engineering and Automation, Fuzhou; 350108, China
  • [ 2 ] [Chen, Yutao]Fuzhou University, College of Electrical Engineering and Automation, Fuzhou; 350108, China
  • [ 3 ] [Huang, Jie]Fuzhou University, College of Electrical Engineering and Automation, Fuzhou; 350108, China
  • [ 4 ] [Huang, Jie]Beijing Institute of Control Engineering, Beijing; 100081, China

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Source :

ISSN: 1934-1768

Year: 2021

Volume: 2021-July

Page: 5518-5523

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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