Open AccessLocally and Globally Exponential Synchronization of Moving Agent Networks by Adaptive Control
Author(s) -
Lifu Wang,
Peng Xue,
Zhi Kong,
Xingang Wang
Publication year - 2013
Publication title -
journal of applied mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.307
H-Index - 43
eISSN - 1687-0042
pISSN - 1110-757X
DOI - 10.1155/2013/241930
Subject(s) - synchronization (alternating current) , computer science , node (physics) , control theory (sociology) , lyapunov function , exponential stability , constraint (computer aided design) , multi agent system , class (philosophy) , exponential function , exponential growth , lyapunov stability , topology (electrical circuits) , mathematical optimization , mathematics , control (management) , artificial intelligence , nonlinear system , mathematical analysis , physics , geometry , structural engineering , combinatorics , quantum mechanics , engineering
The exponential synchronization problem is investigated for a class of moving agent networks in a two-dimensional space and exhibits time-varying topology structure. Based on the Lyapunov stability theory, adaptive feedback controllers are developed to guarantee the exponential synchronization between each agent node. New criteria are proposed for verifying the locally and globally exponential synchronization of moving agent networks under the constraint of fast switching. In addition, a numerical example, including typical moving agent network with the Rössler system at each agent node, is provided to demonstrate the effectiveness and applicability of the proposed design approach
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom