Consensus of second-order multi-agent systems via sampled control: undirected fixed topology case

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Consensus of second-order multi-agent systems via sampled control: undirected fixed topology case

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This article studies the average-consensus problem of second-order multi-agent sampled control system with time-varying sampling interval. The sampled control protocol is induced from continuous-time linear consensus protocol by using sampling technology and zero-order hold circuit. First, by the iterative method, the continuous-time multi-agent system can be equivalently transformed into a linear discrete-time system. Then, by algebraic graph theory and matrix theory, the authors analyse the convergence of the system and not only prove the existence of the scaling parameter and time-varying sampling interval but also give the approach of how to choose them. In their study, the eigenvalues of the corresponding Laplacian matrix play a key role in reaching consensus. Finally, an example is provided to illustrate the effectiveness of the theoretical results.

Inspec keywords: linear systems; discrete time systems; multi-agent systems; time-varying systems; graph theory; iterative methods; multi-robot systems; matrix algebra; eigenvalues and eigenfunctions; continuous time systems; sampled data systems

Other keywords: undirected fixed topology case; Laplacian matrix eigenvalues; zero-order hold circuit; second-order multiagent system consensus; linear discrete-time system; matrix theory; sampling technology; continuous-time multiagent system; continuous-time linear consensus protocol; time-varying sampling interval; sampled control protocol; second-order multiagent sampled control system; iterative method; algebraic graph theory; average-consensus problem

Subjects: Interpolation and function approximation (numerical analysis); Discrete control systems; Robotics; Time-varying control systems; Linear algebra (numerical analysis); Combinatorial mathematics

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http://iet.metastore.ingenta.com/content/journals/10.1049/iet-cta.2011.0282
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