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Distributed leaderless consensus algorithms for networked Euler-Lagrange systems. (English) Zbl 1175.93074
Summary: This article proposes and analyses distributed, leaderless, model-independent consensus algorithms for networked Euler-Lagrange systems. We propose a fundamental consensus algorithm, a consensus algorithm accounting for actuator saturation, and a consensus algorithm accounting for unavailability of measurements of generalised coordinate derivatives, for systems modelled by Euler-Lagrange equations. Due to the fact that the closed-loop interconnected Euler-Lagrange equations using these algorithms are non-autonomous, Matrosov’s theorem is used for convergence analysis. It is shown that consensus is reached on the generalised coordinates and their derivatives of the networked Euler-Lagrange systems as long as the undirected communication topology is connected. Simulation results show the effectiveness of the proposed algorithms.
93B40Computational methods in systems theory
93A14Decentralized systems
93B50Synthesis problems
93C15Control systems governed by ODE