A novel optimal bipartite consensus control scheme for unknown multi-agent systems via model-free reinforcement learning

2020 ◽  
Vol 369 ◽  
pp. 124821 ◽  
Author(s):  
Zhinan Peng ◽  
Jiangping Hu ◽  
Kaibo Shi ◽  
Rui Luo ◽  
Rui Huang ◽  
...  
Author(s):  
Z. Wang ◽  
W. Zhang ◽  
Y. Guo

In this paper, we study the consensus output tracking control for multi-agent systems with high-order dynamics under directed communication topology. Time-varying reference is assumed to be available to a subgroup of a team. A leader-follower scheme is applied and robust consensus control is developed so that the reference is treated as disturbances to those agents with no access to the reference. The control scheme avoids estimation of the derivatives of neighbor’s states through measurement as done in previous work and guarantees a finite L2-gain from the reference to an transformed output. Simulation results show satisfactory performances.


2020 ◽  
Vol 397 ◽  
pp. 212-223 ◽  
Author(s):  
Milad Shahvali ◽  
Ali Azarbahram ◽  
Mohammad-Bagher Naghibi-Sistani ◽  
Javad Askari

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