2022
DOI: 10.1109/lcsys.2022.3178142
|View full text |Cite
|
Sign up to set email alerts
|

Recursive Averaging With Application to Bio-Inspired 3-D Source Seeking

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

1
6
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 11 publications
(7 citation statements)
references
References 24 publications
1
6
0
Order By: Relevance
“…We prove semi-global practical stability properties and confirm our theoretical results with simulations. The need and value of second-order averaging in source seeking was recently revealed in the award-winning conference paper [2] and is affirmed by the present paper.…”
Section: Discussionsupporting
confidence: 73%
See 3 more Smart Citations
“…We prove semi-global practical stability properties and confirm our theoretical results with simulations. The need and value of second-order averaging in source seeking was recently revealed in the award-winning conference paper [2] and is affirmed by the present paper.…”
Section: Discussionsupporting
confidence: 73%
“…For this, we prove that the origin of subsystem (38b) and (38c) is GUAS. Then, we show that (38a) is input-to-state stable (ISS) 2 with respect to z and d. Thus, we can conclude that the origin of ( 38) is GUAS. Inspired by [4] and [12], consider a Lyapunov function for subsystem (38b) and (38c) as…”
Section: B Analysismentioning
confidence: 63%
See 2 more Smart Citations
“…Nevertheless, many studies on source seeking assume a first-order kinematic vehicle model, which means that the velocities can be controlled directly through the inputs. For instance, first-order kinematic vehicle models have been used to describe the motion of wheeled robots, 8,9 drones, 10,11 underwater vehicles, 12,13 and satellites. 14 For a mechanical system, instantaneous changes of the velocity to a prescribed value cannot be realized with bounded forces because of the system's inertia.…”
Section: Introductionmentioning
confidence: 99%