Admissible consensus analysis for high-order linear singular swarm systems with multiple time-varying delays and topology variances

2013 ◽  
Vol 24 (18) ◽  
pp. 3331-3344 ◽  
Author(s):  
Jianxiang Xi ◽  
Zhicheng Yao ◽  
Zhong Wang ◽  
Guangbin Liu ◽  
Yisheng Zhong
Keyword(s):  
High Order ◽  
Multiple Time ◽  
Time Varying ◽  
Order Linear ◽  
Consensus Analysis ◽  
And Topology

Time-varying formation control for high-order linear swarm systems with switching interaction topologies

2014 ◽  
Vol 8 (18) ◽  
pp. 2162-2170 ◽  
Author(s):  
Xiwang Dong ◽  
Zongying Shi ◽  
Geng Lu ◽  
Yisheng Zhong
Keyword(s):  
Formation Control ◽  
High Order ◽  
Time Varying ◽  
Order Linear

Time-varying output formation control for high-order linear time-invariant swarm systems

2015 ◽  
Vol 298 ◽  
pp. 36-52 ◽  
Author(s):  
Xiwang Dong ◽  
Zongying Shi ◽  
Geng Lu ◽  
Yisheng Zhong
Keyword(s):  
Formation Control ◽  
Linear Time ◽  
High Order ◽  
Time Varying ◽  
Order Linear ◽  
Linear Time Invariant ◽  
Time Invariant

scholarly journals Consensus Analysis of High-Order Multiagent Systems with General Topology and Asymmetric Time-Delays

2014 ◽  
Vol 2014 ◽  
pp. 1-10
Author(s):  
Fangcui Jiang
Keyword(s):  
Multiagent Systems ◽  
Network Topology ◽  
Time Delays ◽  
Multiagent System ◽  
High Order ◽  
Directed Network ◽  
Time Varying ◽  
Consensus Analysis ◽  
Robust Consensus ◽  
Selection Of

This paper focuses on the consensus problem for high-order multiagent systems (MAS) with directed network and asymmetric time-varying time-delays. It is proved that the high-order multiagent system can reach consensus when the network topology contains a spanning tree and time-delay is bounded. The main contribution of this paper is that a Lyapunov-like design framework for the explicit selection of protocol parameters is provided. The Lyapunov-like design guarantees the robust consensus of the high-order multiagent system with respect to asymmetric time-delays and is independent of the exact knowledge of the topology when the communication linkages among agents are undirected and connected.

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