TY - GEN
T1 - Distributed control and parameter estimation for homogeneous Lagrangian multi-agent systems
AU - Bechlioulis, Charalampos P.
AU - Demetriou, Michael A.
AU - Kyriakopoulos, Kostas J.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/27
Y1 - 2016/12/27
N2 - In this paper, we consider the formation control problem for uncertain homogeneous Lagrangian nonlinear multi-agent systems in a leader-follower scheme, under an undirected communication protocol. A distributed adaptive control protocol of minimal complexity is proposed that achieves prescribed, arbitrarily fast and accurate formation establishment between the following agents and the leader as well as the synchronization of the parameter estimates of all following agents. The estimation and control laws are distributed in the sense that the control signal and update laws of each agent are calculated based solely on local relative state information from its neighborhood set. Moreover, provided that the communication graph is connected and contrary to the related works on multi-agent systems, the controller-imposed transient and steady state performance bounds are fully decoupled from: i) the underlying graph topology, ii) the control gains selection and iii) the agents' model uncertainties, and are solely prescribed by certain designer-specified performance functions. Finally, a simulation study with hovercraft platforms clarifies and verifies the approach.
AB - In this paper, we consider the formation control problem for uncertain homogeneous Lagrangian nonlinear multi-agent systems in a leader-follower scheme, under an undirected communication protocol. A distributed adaptive control protocol of minimal complexity is proposed that achieves prescribed, arbitrarily fast and accurate formation establishment between the following agents and the leader as well as the synchronization of the parameter estimates of all following agents. The estimation and control laws are distributed in the sense that the control signal and update laws of each agent are calculated based solely on local relative state information from its neighborhood set. Moreover, provided that the communication graph is connected and contrary to the related works on multi-agent systems, the controller-imposed transient and steady state performance bounds are fully decoupled from: i) the underlying graph topology, ii) the control gains selection and iii) the agents' model uncertainties, and are solely prescribed by certain designer-specified performance functions. Finally, a simulation study with hovercraft platforms clarifies and verifies the approach.
UR - http://www.scopus.com/inward/record.url?scp=85010789956&partnerID=8YFLogxK
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U2 - 10.1109/CDC.2016.7798387
DO - 10.1109/CDC.2016.7798387
M3 - Conference contribution
AN - SCOPUS:85010789956
T3 - 2016 IEEE 55th Conference on Decision and Control, CDC 2016
SP - 933
EP - 938
BT - 2016 IEEE 55th Conference on Decision and Control, CDC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 55th IEEE Conference on Decision and Control, CDC 2016
Y2 - 12 December 2016 through 14 December 2016
ER -