IEEE Transactions on Automatic Control · 2019 · 43 citations · 49 references
EngineeringComputer ScienceSystems EngineeringDistributed SystemsMulti-robot SystemsRobot ControlCollision AvoidanceControl TheoryDistributed ControlFormation ControlMulti-agent SystemsRobust ControlCommunication ConstraintsDesired State ConfigurationFormation Control Under Communication ConstraintsLyapunov FunctionsMulti-agent Collision AvoidanceMultiagent ControlRobust Formation Control
An essential problem in the coordination of multiple agents is formation control. Significant challenges to the theoretical design may arise when the multiagent system is subject to uncertainty. This paper considers the robust multitask formation control problem for multiple agents, whose communication and measurements are disturbed by uncertain parameters. The control objectives include achieving the desired configuration, avoiding collisions, and preserving the connectivity of the uncertain topology. To achieve these objectives, we first provide conditions in terms of linear matrix inequalities for checking the connectivity of uncertain topologies. Then, we propose a new type of Lyapunov-like barrier function, called parametric Lyapunov-like barrier function, that is applicable to multiagent systems with uncertainties in communication and measurements. It is shown that this new type of Lyapunov-like barrier function guarantees the robust multitask formation and displays advantages over parameter-independent Lyapunov-like barrier functions. The efficacy of the proposed method is demonstrated via simulation results.
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