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Author:

Du, Shengli (Du, Shengli.) | Sheng, Hong (Sheng, Hong.) | Sun, Hao-Yuan (Sun, Hao-Yuan.)

Indexed by:

EI Scopus SCIE

Abstract:

This paper investigates the leader-following consensus problem for general linear multiagent systems under a fully distributed manner. To avoid using the global information of the communication network, two node-based adaptive parameters are designed and introduced to the fully distributed event-based control law. Such a protocol is more scalable and flexible for large-scaled and complex networked system, such as microgrids or multiple unmanned vehicles. A novel event-triggered rule is presented, and an internal dynamic variable is introduced in it to further cut down the triggering times and save the communication resources. A well-designed Lyapunov function candidate is constructed to not only ensure the convergence of the close-looped systems but also avoid using the eigenvalue of Laplacian matrix in the dynamic variable. Moreover, it is proved that the designed event-triggered conditions can avoid the Zeno behaviour. Finally, a simulation example based on a group of unmanned intelligent vehicle systems is provided to demonstrate the validity of the designed control method. © 2023 The Franklin Institute

Keyword:

Eigenvalues and eigenfunctions Networked control systems Jacobian matrices Lyapunov functions Multi agent systems Adaptive control systems Unmanned vehicles

Author Community:

  • [ 1 ] [Du, Shengli]School of Artificial Intelligence and Automation, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Du, Shengli]Engineering Research Center of Intelligent Perception and Autonomous Control, Ministry of Education, Beijing 100124, China
  • [ 3 ] [Du, Shengli]Beijing Laboratory of Smart Environmental Protection, Beijing 100124, China
  • [ 4 ] [Sheng, Hong]School of Artificial Intelligence and Automation, Beijing University of Technology, Beijing 100124, China
  • [ 5 ] [Sheng, Hong]Engineering Research Center of Intelligent Perception and Autonomous Control, Ministry of Education, Beijing 100124, China
  • [ 6 ] [Sheng, Hong]Beijing Laboratory of Smart Environmental Protection, Beijing 100124, China
  • [ 7 ] [Sun, Hao-Yuan]School of Artificial Intelligence and Automation, Beijing University of Technology, Beijing 100124, China
  • [ 8 ] [Sun, Hao-Yuan]Engineering Research Center of Intelligent Perception and Autonomous Control, Ministry of Education, Beijing 100124, China
  • [ 9 ] [Sun, Hao-Yuan]Beijing Laboratory of Smart Environmental Protection, Beijing 100124, China

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Source :

Journal of the Franklin Institute

ISSN: 0016-0032

Year: 2023

Issue: 17

Volume: 360

Page: 13227-13243

4 . 1 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:19

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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