Title :
Characterizing robust coordination algorithms via proximity graphs and set-valued maps
Author_Institution :
Dept. of Appl. Math. & Stat., California Univ., Santa Cruz, CA
Abstract :
This paper studies correctness and robustness properties of motion coordination algorithms with respect to link failures in the network topology. The technical approach relies on computational geometric tools such as proximity graphs, nondeterministic systems defined via set-valued maps and Lyapunov stability analysis. The manuscript provides two general results to help characterize the asymptotic behavior of spatially distributed coordination algorithms. These results are illustrated in rendezvous and flocking coordination algorithms
Keywords :
Lyapunov methods; asymptotic stability; computational geometry; graph theory; multi-agent systems; robust control; Lyapunov stability analysis; computational geometric tool; correctness property; distributed coordination algorithm; link failure; motion coordination algorithm; network topology; nondeterministic system; proximity graph; robust coordination algorithm; robustness property; set-valued map; Algorithm design and analysis; Context; Distributed algorithms; Failure analysis; Lyapunov method; Network topology; Robustness; Sensor phenomena and characterization; Stability analysis; Trajectory;
Conference_Titel :
American Control Conference, 2006
Conference_Location :
Minneapolis, MN
Print_ISBN :
1-4244-0209-3
Electronic_ISBN :
1-4244-0209-3
DOI :
10.1109/ACC.2006.1655323