TY - GEN
T1 - Adaptive consensus algorithms for state variables of leaderless multi-agent systems
AU - Shida, Takanobu
AU - Ohmori, Hiromitsu
PY - 2013/10/18
Y1 - 2013/10/18
N2 - In this paper, we propose consensus algorithms to achieve an agreement of the state values of all agents for multi-agent systems consisting of dynamical systems with unknown parameters. By adjusting feedback gains online, the stability of multi-agent system is guaranteed against uncertainties of parameters. We assume that there is neither leader nor virtual leader providing the target of state values for all agents. Then, a common target for all agents is decided by a distributed approach. By the control inputs, the state values of all agents converge to the common target, and consensus is achieved.
AB - In this paper, we propose consensus algorithms to achieve an agreement of the state values of all agents for multi-agent systems consisting of dynamical systems with unknown parameters. By adjusting feedback gains online, the stability of multi-agent system is guaranteed against uncertainties of parameters. We assume that there is neither leader nor virtual leader providing the target of state values for all agents. Then, a common target for all agents is decided by a distributed approach. By the control inputs, the state values of all agents converge to the common target, and consensus is achieved.
KW - Adaptive control
KW - Consensus
KW - Leaderless architecture
KW - Multi-agent system
UR - http://www.scopus.com/inward/record.url?scp=84890506003&partnerID=8YFLogxK
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M3 - Conference contribution
AN - SCOPUS:84890506003
SN - 9789881563835
T3 - Chinese Control Conference, CCC
SP - 7308
EP - 7313
BT - Proceedings of the 32nd Chinese Control Conference, CCC 2013
PB - IEEE Computer Society
T2 - 32nd Chinese Control Conference, CCC 2013
Y2 - 26 July 2013 through 28 July 2013
ER -