18th Mediterranean Conference on Control and Automation, MED'10 2010
DOI: 10.1109/med.2010.5547774
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Bearing-only triangular formation control on the plane and the sphere

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Cited by 32 publications
(29 citation statements)
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“…Formation control with bearing-only measurements (and/or desired inter-agent constraints) has been studied in [10]- [18]. Formation control with heterogenous sensing (and/or constraints) has also been considered [19], [20].…”
Section: A Contributionmentioning
confidence: 99%
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“…Formation control with bearing-only measurements (and/or desired inter-agent constraints) has been studied in [10]- [18]. Formation control with heterogenous sensing (and/or constraints) has also been considered [19], [20].…”
Section: A Contributionmentioning
confidence: 99%
“…The second law works on the set of interior angles subtended at each agent by its neighbours. The extension is based on [10], [11].…”
Section: A An Extension To the Proposed Control Lawmentioning
confidence: 99%
“…A mix of range and bearing information can also be used, for example when a subset of agents has the full relative position of a subset of neighbors [6], or when the distance between agents can be estimated using bearing measurements [7]. There are many works in the literature that use a bearing-only approach to formation control [8], [9], [10], [11], [12]. We complement these works by further incorporating a single additional sensor, a compass, to localize the rotation.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, it is possible to suppose the measurements may be corrupted by an unknown finite state Markov chain (which can model noisy sensors and/or communication channels). Alternatively, the Markovperturbed feedback policy can model a relaxed control law, where the controller can choose a single control signal from a set of values during run-time 1 .…”
Section: Introductionmentioning
confidence: 99%
“…Bishop is with the NICTA, Canberra Research Laboratory and the Australian National University, email adrian.bishop@anu.edu.au. 1 For example, an agent may choose a specific heading (from the admissible set defined by the proposed control law) that better avoids an external obstacle. This is a decision best made during run-time and can be modelled via the proposed Markovian feedback policy.…”
Section: Introductionmentioning
confidence: 99%