Fuzzy adaptive finite-time consensus tracking control for nonlinear multi-agent systems

2020 ◽  
pp. 1-13
Author(s):  
Lili Zhang ◽  
Bing Chen ◽  
Chong Lin ◽  
Yun Shang
Keyword(s):  
Finite Time ◽  
Tracking Control ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Consensus Tracking ◽  
Multi Agent ◽  
Fuzzy Adaptive

scholarly journals Finite-time consensus tracking control for multi-agent systems with nonlinear dynamics under Euler digraph and switching topology

2020 ◽  
Vol 53 (2) ◽  
pp. 3322-3329
Author(s):  
Shengchao He ◽  
Xiangdong Liu ◽  
Pingli Lu ◽  
Changkun Du ◽  
Haikuo Liu ◽  
...  
Keyword(s):  
Nonlinear Dynamics ◽  
Finite Time ◽  
Tracking Control ◽  
Switching Topology ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Consensus Tracking ◽  
Multi Agent

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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