节点文献
Fault-tolerant finite-time dynamical consensus of double-integrator multi-agent systems with partial agents subject to synchronous self-sensing function failure
【摘要】 This paper investigates fault-tolerant finite-time dynamical consensus problems of double-integrator multi-agent systems(MASs) with partial agents subject to synchronous self-sensing function failure(SSFF). A strategy of recovering the connectivity of network topology among normal agents based on multi-hop communication and a fault-tolerant finitetime dynamical consensus protocol with time-varying gains are proposed to resist synchronous SSFF. It is proved that double-integrator MASs with partial agents subject to synchronous SSFF using the proposed strategy of network topology connectivity recovery and fault-tolerant finite-time dynamical consensus protocol with the proper time-varying gains can achieve finite-time dynamical consensus. Numerical simulations are given to illustrate the effectiveness of the theoretical results.
【Abstract】 This paper investigates fault-tolerant finite-time dynamical consensus problems of double-integrator multi-agent systems(MASs) with partial agents subject to synchronous self-sensing function failure(SSFF). A strategy of recovering the connectivity of network topology among normal agents based on multi-hop communication and a fault-tolerant finitetime dynamical consensus protocol with time-varying gains are proposed to resist synchronous SSFF. It is proved that double-integrator MASs with partial agents subject to synchronous SSFF using the proposed strategy of network topology connectivity recovery and fault-tolerant finite-time dynamical consensus protocol with the proper time-varying gains can achieve finite-time dynamical consensus. Numerical simulations are given to illustrate the effectiveness of the theoretical results.
【Key words】 multi-agent systems; synchronous self-sensing function failure; finite-time dynamical consensus; network topology connectivity recovery;
- 【文献出处】 Chinese Physics B ,中国物理B , 编辑部邮箱 ,2022年12期
- 【分类号】TP273
- 【下载频次】1