TY - JOUR
T1 - Consensus tracking in heterogeneous nonlinear multi-agent networks with asynchronous sampled-data communication
AU - Ding, Lei
AU - Zheng, Wei Xing
PY - 2016
Y1 - 2016
N2 - This paper is concerned with the problem of consensus tracking for heterogeneous nonlinear multi-agent systems via asynchronous sampled-data information. Due to the existence of heterogeneity of dynamics and asynchrony of sampled information, the closed-loop error tracking system with ‘disturbance-like’ term can be established. By utilizing the Lyapunov–Krasovskii approach, the bounded consensus condition with the estimate of the tracking error bound is derived. Based on the criterion, an effective method for designing the appropriate consensus controller gain matrices is developed. An illustrative example with the coupled pendulums is given to demonstrate the efficiency of the results obtained in this paper.
AB - This paper is concerned with the problem of consensus tracking for heterogeneous nonlinear multi-agent systems via asynchronous sampled-data information. Due to the existence of heterogeneity of dynamics and asynchrony of sampled information, the closed-loop error tracking system with ‘disturbance-like’ term can be established. By utilizing the Lyapunov–Krasovskii approach, the bounded consensus condition with the estimate of the tracking error bound is derived. Based on the criterion, an effective method for designing the appropriate consensus controller gain matrices is developed. An illustrative example with the coupled pendulums is given to demonstrate the efficiency of the results obtained in this paper.
KW - intelligent agents (computer software)
KW - sensor networks
UR - http://handle.uws.edu.au:8081/1959.7/uws:37629
U2 - 10.1016/j.sysconle.2016.08.001
DO - 10.1016/j.sysconle.2016.08.001
M3 - Article
SN - 0167-6911
VL - 96
SP - 151
EP - 157
JO - Systems and Control Letters
JF - Systems and Control Letters
ER -