2018
DOI: 10.1109/tac.2018.2797179
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Finite-Time Attitude Synchronization With Distributed Discontinuous Protocols

Abstract: The finite-time attitude synchronization problem is considered in this paper, where the rotation of each rigid body is expressed using the axis-angle representation. Two discontinuous and distributed controllers using the vectorized signum function are proposed, which guarantee almost global and local convergence, respectively. Filippov solutions and non-smooth analysis techniques are adopted to handle the discontinuities. Sufficient conditions are provided to guarantee finite-time convergence and boundedness … Show more

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Cited by 19 publications
(9 citation statements)
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“…Besides, the local and global convergence strategy represented in ref. [9] is based on a restrictive assumption on the initial rotations in SO(3), while in our strategy, the only initial connected condition is enough for reaching synchronisation and this condition is also relaxed with the optimal control problem. Finally, ref.…”
Section: Simulation Resultsmentioning
confidence: 99%
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“…Besides, the local and global convergence strategy represented in ref. [9] is based on a restrictive assumption on the initial rotations in SO(3), while in our strategy, the only initial connected condition is enough for reaching synchronisation and this condition is also relaxed with the optimal control problem. Finally, ref.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…The problem in ref. [9] is formulated on SO(3); however, under the represented control, the states of the system leave the manifold. Since the SO(3) manifold is a lie group, it benefits from the advantages of Lie groups.…”
Section: Introductionmentioning
confidence: 99%
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“…This means that, within finite time, one agent's key updated by the algorithm can only approach, but not equal, the keys of the others. To reach an exact synchronization for the key sequence, finite-time consensus algorithms are needed, such as, e.g., [37][38][39][40]. These finite-time consensus algorithms, however, often depend on particular communication graphs [41], or require first computing a matrix factorization [37] or minimal polynomial [38] of the weight matrix.…”
Section: Key Distributionmentioning
confidence: 99%