Adaptive Consensus Control of Networked Lagrangian Systems with Input Hysteresis Quantization and Asynchronous Sampled-Data Communication

Author(s):  
Chunhui Fan ◽  
Haifeng Sun ◽  
Yu Li
2021 ◽  
Author(s):  
Tiehui Zhang ◽  
Hengyu Li ◽  
Jun Liu ◽  
Daowei Lu ◽  
Shaorong Xie ◽  
...  

Abstract In combination with the collective behavior evolutions of bipartite consensus and cluster/group consensus, this paper proposes the notion of multiple-bipartite consensus in networked Lagrangian systems (NLSs). The distributed leaderless and leader-following multiple-bipartite consensus control laws for NLSs are presented in the cooperative-competitive network, where the negative interactions between agents can exist in the same subnetwork. By introducing an acyclic partition and adding the integral item in the control protocols, the final explicit convergence states in the leaderless case are eventually obtained. Moreover, the leader-following scenario can be realized in fifinite time with integrated controllers. All of the effectiveness has been illustrated through numerical simulations.


Author(s):  
Xiaolei Li ◽  
Changyun Wen ◽  
Jiange Wang ◽  
Ci Chen ◽  
Chao Deng

2019 ◽  
Vol 26 (1) ◽  
pp. 145-152
Author(s):  
Liyuan Wang ◽  
Wei Yue ◽  
Rubo Zhang

Abstract This paper is concerned with sampled-data leader following consensus of multiple unmanned surface vehicle (MUSV) systems with random switching network topologies and wave-induced disturbance. By modelling the switching of network topologies with the use of a Markov process and considering the effect of wave-induced disturbance, a new sampled-data consensus control protocol is proposed. By employing an appropriate Lyapunov-Krosovskii function method and the weak infinitesimal operation, a novel stability criterion is derived, which ensures that the MUSV system can reach robustly leader-following consensus with H∞ performance satisfied. Based on this criterion, the Markov dependent switching consensus controller gains are obtained by solving a set of linear matrix inequalities. Finally, an illustrative example is given to verify the effectiveness of the proposed control scheme for MUSV systems.


2021 ◽  
Author(s):  
Xuan Cao ◽  
Wenxia Xu ◽  
Deng Chen ◽  
Baocheng Yu ◽  
Yanduo Zhang ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document