Distributed robust finite-time nonlinear consensus protocols for multi-agent systems
Top Cited Papers
- 30 May 2014
- journal article
- research article
- Published by Taylor & Francis Ltd in International Journal of Systems Science
- Vol. 47 (6), 1366-1375
- https://doi.org/10.1080/00207721.2014.925608
Abstract
This paper investigates the robust finite-time consensus problem of multi-agent systems in networks with undirected topology. Global nonlinear consensus protocols augmented with a variable structure are constructed with the aid of Lyapunov functions for each single-integrator agent dynamics in the presence of external disturbances. In particular, it is shown that the finite settling time of the proposed general framework for robust consensus design is upper bounded for any initial condition. This makes it possible for network consensus problems to design and estimate the convergence time offline for a multi-agent team with a given undirected information flow. Finally, simulation results are presented to demonstrate the performance and effectiveness of our finite-time protocols.Keywords
This publication has 18 references indexed in Scilit:
- Fast consensus seeking in multi-agent systems with time delaySystems & Control Letters, 2013
- Distributed finite-time tracking control for multi-agent systems: An observer-based approachSystems & Control Letters, 2013
- H∞consensus control for multi-agent systems with linear coupling dynamics and communication delaysInternational Journal of Systems Science, 2012
- Formation control of VTOL Unmanned Aerial Vehicles with communication delaysAutomatica, 2011
- On H∞ and H2 performance regions of multi-agent systemsAutomatica, 2011
- Finite-time convergent gradient flows with applications to network consensusAutomatica, 2006
- On Maximizing the Second Smallest Eigenvalue of a State-Dependent Graph LaplacianIEEE Transactions on Automatic Control, 2006
- Consensus Problems in Networks of Agents With Switching Topology and Time-DelaysIEEE Transactions on Automatic Control, 2004
- Coordination of groups of mobile autonomous agents using nearest neighbor rulesIEEE Transactions on Automatic Control, 2003
- Flocks, herds, and schools: A quantitative theory of flockingPhysical Review E, 1998