Adaptive neural finite-time bipartite consensus tracking of nonstrict feedback nonlinear coopetition multi-agent systems with input saturation

2020 ◽  
Vol 397 ◽  
pp. 168-178
Author(s):  
Xiao Chen ◽  
Lin Zhao ◽  
Jinpeng Yu
Keyword(s):  
Finite Time ◽  
Input Saturation ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Consensus Tracking ◽  
Multi Agent ◽  
Bipartite Consensus

Semi-global bipartite consensus tracking of singular multi-agent systems with input saturation

2021 ◽  
Vol 432 ◽  
pp. 183-193
Author(s):  
Zhen-Hua Zhu ◽  
Zhi-Hong Guan ◽  
Bin Hu ◽  
Ding-Xue Zhang ◽  
Xin-Ming Cheng ◽  
...  
Keyword(s):  
Input Saturation ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Consensus Tracking ◽  
Multi Agent ◽  
Bipartite Consensus

scholarly journals A Unified Framework Design for Finite-Time Bipartite Consensus of Multi-Agent Systems

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Jiaju Yu ◽  
Jiashang Yu ◽  
Pengfei Zhang ◽  
TingTing Yang ◽  
Xiurong Chen
Keyword(s):  
Finite Time ◽  
Multi Agent Systems ◽  
Unified Framework ◽  
Agent Systems ◽  
Framework Design ◽  
Multi Agent ◽  
Bipartite Consensus

Fast Finite-Time Consensus Tracking of First-Order Multi-Agent Systems with a Virtual Leader

2014 ◽  
Vol 596 ◽  
pp. 552-559 ◽  
Author(s):  
Qiu Yun Xiao ◽  
Zhi Hai Wu ◽  
Li Peng
Keyword(s):  
Graph Theory ◽  
Finite Time ◽  
Function Method ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
First Order ◽  
Consensus Tracking ◽  
Lyapunov Function Method ◽  
Multi Agent ◽  
Virtual Leader

This paper proposes a novel finite-time consensus tracking protocol for guaranteeing first-order multi-agent systems with a virtual leader to achieve the fast finite-time consensus tracking. The Lyapunov function method, algebra graph theory, homogeneity with dilation and some other techniques are employed to prove that first-order multi-agent systems with a virtual leader applying the proposed protocol can reach the finite-time consensus tracking. Furthermore, theoretical analysis and numerical simulations show that compared with the traditional finite-time consensus tracking protocols, the proposed protocol can accelerate the convergence speed of achieving the finite-time consensus tracking.

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