DocumentCode :
2290524
Title :
Performance analysis for multi-agent coordination with partial measurable states over digital networks
Author :
Li, Tao ; Xie, Lihua
Author_Institution :
Key Lab. of Syst. & Control, Acad. of Math. & Syst. Sci., Beijing, China
fYear :
2012
fDate :
6-8 July 2012
Firstpage :
863
Lastpage :
868
Abstract :
In this paper, we consider the performance of a class of distributed coordination algorithms of discrete-time second-order multi-agent systems with partially measurable states and a limited communication data rate. The distributed coordinated control law is based on an encoding-decoding scheme which integrates the state observation with encoding/decoding. The convergence time, the selection of controller parameters and the performance limit are discussed. We give upper bounds of the convergence time in terms of precision, control and network parameters. We develop a linear approximation of the spectral radius of the closed-loop matrix with respect to the control gains and the algebraic connectivity of the communication graph, by which we show that for a connected network, 2-bit quantizers suffice for the exponential asymptotic synchronization of the states of the agents. Furthermore, it is shown that as the number of agents increases, the asymptotic convergence rate can be approximated as a function of the number of agents, the number of quantization levels (communication data rate) and the ratio of the algebraic connectivity to the spectral radius of the Laplacian matrix of the communication graph.
Keywords :
closed loop systems; convergence; decoding; discrete time systems; distributed control; encoding; function approximation; graph theory; matrix algebra; multi-agent systems; quantisation (signal); 2-bit quantizers; Laplacian matrix; algebraic connectivity; asymptotic convergence rate; closed-loop matrix; communication graph; control gains; controller parameters; convergence time; digital networks; discrete-time second-order multiagent systems; distributed coordinated control law; distributed coordination algorithms; encoding-decoding scheme; exponential asymptotic synchronization; function approximation; limited communication data rate; multiagent coordination; network parameters; partial measurable states; performance analysis; quantization levels; spectral radius linear approximation; state observation; Closed loop systems; Convergence; Decoding; Laplace equations; Multiagent systems; Quantization; Synchronization; Multi-agent systems; communication constraint; distributed coordination; performance limit; quantized observer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
Type :
conf
DOI :
10.1109/WCICA.2012.6358000
Filename :
6358000
Link To Document :
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