2020
DOI: 10.1109/lra.2020.3005374
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Energy-Based Cooperative Control for Landing Fixed-Wing UAVs on Mobile Platforms Under Communication Delays

Abstract: Energy-based cooperative control for landing fixed-wing uavs on mobile platforms under communication delays.

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Cited by 15 publications
(7 citation statements)
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“…Another possible development step consists in the use of a different cooperative control strategy, as proposed in [13], where both vehicles act in both directions, while applying the technique presented in [31] used to make it robust to communication delays.…”
Section: Discussionmentioning
confidence: 99%
“…Another possible development step consists in the use of a different cooperative control strategy, as proposed in [13], where both vehicles act in both directions, while applying the technique presented in [31] used to make it robust to communication delays.…”
Section: Discussionmentioning
confidence: 99%
“…On the other hand, in order to tackle the problem of instability caused by time delay, package loss, and jitter in bilateral teleoperation, the Time Domain Passivity Approach (TDPA) [42] is a reliable choice due to its passivity, robustness, and position synchronization characteristics. TDPA has been widely used in the fields of space teleoperation [4], force control [8], series elastic actuators [27], time-delayed cooperative control [32], and others. Its model-free characteristics allows it to perform better in comparison with other passivity-based approaches [6] while possessing a significantly simpler structure than fuzzy-logic and neural-network based approaches (e. g. [48] and [47]).…”
Section: Introductionmentioning
confidence: 99%
“…Motivated by the aforementioned works and taking also into account that passivity-based control (PBC) and interconnection and damping assignment-passivity-based control (IDA-PBC) techniques have been successfully applied to unmanned aerial vehicles [14][15][16][17], in this paper, we offer an alternative approach to stabilize an unmanned powered parachute by using the standard PBC and IDA-PBC strategies. In the IDA-PBC algorithm, the control goals should be achieved despite wind disturbance and changes in masses acting on the system because of its inherent robustness against parametric uncertainty and unmodeled dynamics [18].…”
Section: Introductionmentioning
confidence: 99%