Leader-following Consensus of Fractional-order Multi-agent Systems with Feedback Control Protocol

2021 ◽  
Author(s):  
Hailang Yang ◽  
Jianhao Wang ◽  
Shali Huang ◽  
Zhixia Ding
Keyword(s):  
Feedback Control ◽  
Fractional Order ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Control Protocol ◽  
Leader Following ◽  
Multi Agent

scholarly journals Leader-Following Consensus Control of Nabla Discrete Fractional Order Multi-Agent Systems

2020 ◽  
Vol 53 (2) ◽  
pp. 2897-2902
Author(s):  
Jiayue Ma ◽  
Jiangping Hu ◽  
Yiyi Zhao ◽  
Bijoy Kumar Ghosh
Keyword(s):  
Fractional Order ◽  
Multi Agent Systems ◽  
Consensus Control ◽  
Agent Systems ◽  
Leader Following ◽  
Multi Agent

scholarly journals Improvement of coordination performance of fractional-order systems based on weighted state and relative state information

2017 ◽  
Vol 9 (7) ◽  
pp. 168781401770579
Author(s):  
Xueliang Liu ◽  
Huazhu Liu ◽  
Shanjin Wang ◽  
Zhi Zhang ◽  
Yonggui Liu
Keyword(s):  
Fractional Order ◽  
Frequency Domain Method ◽  
Information Feedback ◽  
Coordination Control ◽  
Multi Agent Systems ◽  
State Information ◽  
Agent Systems ◽  
Relative State ◽  
Control Protocol ◽  
Multi Agent

The weighted state and relative state information feedback is introduced into the existing coordination control protocol aiming to improve the robustness of fractional-order multi-agent systems against fractional-order [Formula: see text]. By applying frequency-domain method and Nyquist stability theorem, a sufficient condition is given to ensure the fractional-order coordination. It is shown that the proposed coordination control protocol can improve the robustness of fractional-order multi-agent systems against fractional-order under directed communication topology. Two numerical examples are given and the corresponding simulation results show that compared with the existed coordination control protocols, the proposed weighted state and relative state information feedback control protocol is feasible and effective for improving the robustness performance.

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