Kazan (Volga region) Federal University, KFU
KAZAN
FEDERAL UNIVERSITY
 
ADAPTIVE MULTI-AGENT COVERAGE CONTROL WITH OBSTACLE AVOIDANCE
Form of presentationArticles in international journals and collections
Year of publication2022
Языканглийский
  • Magid Evgeniy Arkadevich, author
  • Bibliographic description in the original language Bai Y. Adaptive Multi-Agent Coverage Control With Obstacle Avoidance / Wang Y., Svinin M., Magid E., Sun R. // IEEE Control Systems Letters. - 2022. - Vol. 6. - p. 944-949.
    Annotation This letter presents an adaptive coverage control strategy for multi-agent systems with obstacle avoidance in the presence of actuator faults and time-varying uncertainties. The strategy is based on a leader-follower approach. Assuming that the motion of the leader is given, one distributes the followers within the leader's obstacle-free sensing range so that collisions with obstacles can be avoided. An optimized distribution is achieved through the Centroidal Voronoi Tessellation (CVT) and a function approximation technique based immersion and invariance (FATII) coverage controller is constructed to realize the CVT. The stability of the FATII coverage controller is established and its validity is tested by simulations.
    Keywords Adaptive control, uncertain systems, cooperative control
    The name of the journal IEEE Control Systems Letters
    URL https://ieeexplore.ieee.org/document/9448334
    Please use this ID to quote from or refer to the card https://repository.kpfu.ru/eng/?p_id=257409&p_lang=2
    Resource files 
    File name Size (MB) Format  
    F_2022_Adaptive_Multi_Agent_Coverage_Control_With_Obstacle_Avoidance.pdf 0,45 pdf show / download

    Full metadata record