Experimental Verification of a Multi-robot Distributed Control Algorithm with Containment and Group Dispersion Behaviors: The Case of Dynamic Leaders * *This work was supported in part by the National Natural Science Foundation of China under Grant No. 61273105.

2013 ◽  
Vol 46 (13) ◽  
pp. 153-158 ◽  
Author(s):  
Hejin Zhang ◽  
Zhiyun Zhao ◽  
Ziyang Meng ◽  
Zongli Lin
Robotica ◽  
2021 ◽  
pp. 1-12
Author(s):  
Jinwei Yu ◽  
Jinchen Ji ◽  
Zhonghua Miao ◽  
Jin Zhou

SUMMARY This paper proposes a fully distributed continuous region-reaching controller for multi-robot systems which can effectively eliminate the chattering issues and the negative effects caused by discontinuities. The adaptive control gain technique is employed to solve the distributed region-reaching control problem. By performing Lyapunov function-based stability analysis, it is shown that all the robots can move cohesively within the desired region under the proposed distributed control algorithm. In addition, collision avoidance and velocity matching within the moving region can be guaranteed under properly designed control gains. Simulation examples are given to verify the capabilities of the proposed control method.


2008 ◽  
Vol 81 (1) ◽  
pp. 89-106 ◽  
Author(s):  
C. De Persis ◽  
J. J. Jessen ◽  
R. Izadi-Zamanabadi ◽  
H. Schiøler

2017 ◽  
Vol 13 (7) ◽  
pp. 155014771772251 ◽  
Author(s):  
Weizheng Huang ◽  
Wenfeng Zheng ◽  
Lipo Mo

In this article, the distributed [Formula: see text] composite-rotating consensus problem is concerned for a class of second-order multi-agent systems. First, based on local state feedback and communication feedback, a distributed control algorithm is proposed. Then, sufficient conditions are derived in order to make all agents reach a composite-rotating consensus with the desired [Formula: see text] performance. Finally, the simulations are given to show the effectiveness of the theoretical results.


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