Distributed Finite-time Formation Control for Multiple Quadrotors with Leader State Unmeasurable

Author(s):  
Liqian Dou ◽  
Chuang Yang ◽  
Dandan Wang ◽  
Tao Chen
2019 ◽  
Vol 6 (2) ◽  
pp. 702-712 ◽  
Author(s):  
Quoc Van Tran ◽  
Minh Hoang Trinh ◽  
Daniel Zelazo ◽  
Dwaipayan Mukherjee ◽  
Hyo-Sung Ahn

Author(s):  
Ma Longbiao ◽  
He Fenghua ◽  
Sun Chuanpeng ◽  
Wang Long ◽  
Zhang Silun ◽  
...  

2021 ◽  
pp. 4983-4993
Author(s):  
Jianan Wang ◽  
Qingbiao Kuang ◽  
Dandan Wang ◽  
Chunyan Wang ◽  
Jiayuan Shan

2019 ◽  
Vol 29 (16) ◽  
pp. 5588-5608 ◽  
Author(s):  
Liqian Dou ◽  
Chuang Yang ◽  
Dandan Wang ◽  
Bailing Tian ◽  
Qun Zong

2015 ◽  
Vol 2015 ◽  
pp. 1-17 ◽  
Author(s):  
J. F. Flores-Resendiz ◽  
E. Aranda-Bricaire ◽  
J. González-Sierra ◽  
J. Santiaguillo-Salinas

This paper addresses the formation control problem without collisions for multiagent systems. A general solution is proposed for the case of any number of agents moving on a plane subject to communication graph composed of cyclic paths. The control law is designed attending separately the convergence to the desired formation and the noncollision problems. First, a normalized version of the directed cyclic pursuit algorithm is proposed. After this, the algorithm is generalized to a more general class of topologies, including all the balanced formation graphs. Once the finite-time convergence problem is solved we focus on the noncollision complementary requirement adding a repulsive vector field to the previous control law. The repulsive vector fields display an unstable focus structure suitably scaled and centered at the position of the rest of agents in a certain radius. The proposed control law ensures that the agents reach the desired geometric pattern in finite time and that they stay at a distance greater than or equal to some prescribed lower bound for all times. Moreover, the closed-loop system does not exhibit undesired equilibria. Numerical simulations and real-time experiments illustrate the good performance of the proposed solution.


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