Title :
Cooperative stabilization of linear multi-agent systems with limited communication data rate
Author :
Yang Meng ; Tao Li
Author_Institution :
Key Lab. of Syst. & Control, Acad. of Math. & Syst. Sci., Beijing, China
Abstract :
For the coordination of multi-agent systems with bandwidth limited digital channels, if there are unmeasurable states in agents´ dynamics, then the integrative design of encoding-decoding and control schemes is required for the cooperative stabilization of the whole system. In this paper, the cooperative stabilization for linear discrete-time multi-agent systems is investigated with unmeasurable states and limited communication data rate. A quantized-observer based encoding-decoding and control protocol is proposed. It is shown that under mild conditions on the dynamics of agents and network topology graph, if the communication data rate is sufficiently large, then the dynamic network will achieve cooperative stabilization exponentially by properly choosing the control and observer gains.
Keywords :
discrete time systems; graph theory; linear systems; multi-robot systems; stability; bandwidth limited digital channels; control protocol; cooperative stabilization; encoding-decoding; limited communication data rate; linear discrete-time multiagent systems; network topology graph; Artificial neural networks; Decoding; Gold; Multi-agent systems; Observers; Protocols; Vehicle dynamics;
Conference_Titel :
Control & Automation (ICCA), 11th IEEE International Conference on
Conference_Location :
Taichung
DOI :
10.1109/ICCA.2014.6871090