Stability Analysis of Cooperative Control for Heterogeneous Multi-agent Systems with Nonlinear Dynamics *

2019 ◽  
Author(s):  
Bohui Wang ◽  
Xinpeng Fang ◽  
Yu Zhao
Keyword(s):  
Nonlinear Dynamics ◽  
Stability Analysis ◽  
Cooperative Control ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent

Adaptive Coordination Control of Multi-Agent Systems with Switching Topologies and Unknown Nonlinear Dynamics

2013 ◽  
Vol 278-280 ◽  
pp. 1413-1416
Author(s):  
Gao Yang Liu ◽  
Hui Yu ◽  
Yi Zhang
Keyword(s):  
Nonlinear Dynamics ◽  
Stability Analysis ◽  
Convergence Analysis ◽  
Lyapunov Theory ◽  
Consensus Algorithm ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Leader Following ◽  
Multi Agent ◽  
Unknown Nonlinear Dynamics

In this paper, we study the leader-following adaptive consensus problem for multi-agent systems with unknown nonlinear dynamics. The topologies of the networks are switching. A novel adaptive consensus algorithm is proposed by using linear parameterizations of unknown nonlinear dynamics of all agents. By stability analysis and parameter convergence analysis of the proposed algorithm, adaptive consensus can be realized based on neighboring graphs. The stability analysis is based on algebraic graph theory and Lyapunov theory, the PE condition plays a key role in parameter convergence analysis. Example is given to validate the theoretical results.

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