Adaptive leaderless consensus control of a class of strict-feedback nonlinear multi-agent systems with unknown control directions: A non-Nussbaum function based approach

2020 ◽  
Vol 357 (17) ◽  
pp. 12180-12196
Author(s):  
Wengang Ao ◽  
Jiangshuai Huang ◽  
Fangzheng Xue
Keyword(s):  
Multi Agent Systems ◽  
Consensus Control ◽  
Agent Systems ◽  
Unknown Control Directions ◽  
Nussbaum Function ◽  
Multi Agent ◽  
Unknown Control ◽  
Strict Feedback

Adaptive preview consensus control for discrete-time nonlinear multi-agent systems with unknown control directions

2020 ◽  
Vol 42 (15) ◽  
pp. 2941-2950
Author(s):  
Chang-E Ren ◽  
CL Philip Chen
Keyword(s):  
Discrete Time ◽  
Multi Agent Systems ◽  
Consensus Control ◽  
Agent Systems ◽  
Unknown Control Directions ◽  
Leader Following ◽  
Multi Agent ◽  
Distributed Controllers ◽  
Unknown Control ◽  
Logic System

In this paper, the leader-following consensus control problem of discrete-time nonlinear multi-agent systems with unknown control directions is discussed. The preview future information of the leader is utilized when the distributed controllers are designed. Fuzzy logic system is directly introduced to approximate the uncertainty and unknown control directions and the adaptive distributed controller with preview information is put forward. The designed controller can drive all the states of followers to converge to a small neighbourhood of the leader’s state. In addition, all the states of followers remain bounded. Finally, the results of simulations can display the effectiveness of the presented algorithms.

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