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Shen-Shu Xiong

dblp:23/9645 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2004
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
2 papers
Legged, aerial and field robots · 59% Motion planning and robot control · 41%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › system identification › robot dynamics identification
model identification
0.012004
Model Identification of a Small-scale Air Vehicle for Loitering Control Design · ICRA 2004
Robotics › Legged, aerial and field robots › aerial robots
unmanned aerial vehicle
0.012004
Model Identification of a Small-scale Air Vehicle for Loitering Control Design · ICRA 2004
Robotics › Legged, aerial and field robots › aerial robots
micro aerial vehicle
0.012003
Micro air vehicle. architecture and implementation · ICRA 2003
Robotics › Motion planning and robot control › robot control
flight control
0.012004
Model Identification of a Small-scale Air Vehicle for Loitering Control Design · ICRA 2004

Methods — techniques the papers use, named apart from their topics

frequency-domain analysis · 0.0ARX model · 0.0propulsion testing · 0.0airfoil analysis · 0.0
YearPublicationVenuePosition
2004 Model Identification of a Small-scale Air Vehicle for Loitering Control Design
abstract
This paper aims to investigate theoretically and experimentally the dynamic behaviors of the pitch and roll motions of a small-scale unmanned air vehicle in loitering flight. Two fourth-order ARX (AutoRegressive with eXogenous input) models are successfully identified, and the performance analysis is carried out based on the flight test data. The validity of the identified model is verified by both time domain model prediction and frequency domain spectral analysis. With the proposed ARX models, two compensators are further designed using a frequency technique to improve the transient performance of the pitch and roll control channels. Simulations and experiments demonstrate that the proposed ARX model-based compensation control design strategy can improve the flight performance.
Dong Sun 0001, Zhaoying Zhou, Shen-Shu Xiong
ICRA4
2003 Micro air vehicle. architecture and implementation
abstract
This paper presents the development of an electrically powered micro air vehicle (MAV) with a wingspan of 360 mm. A miniature flight control system including a self-made micro video image system especially suitable for MAV is developed. The aerodynamic performance of several airfoil sections at low chords Reynolds number is analyzed in order to find an optimum airfoil section for the MAV prototype. A small-sized propulsion testing setup is built to measure the performance of the motor-gear-propeller-battery combination so that an efficient propulsion system can be obtained. The TH360 MAV with a payload of a self-made micro color video image system has been successfully tested in the real-time flight, where the real-time images of the ground target can be transmitted from the onboard video camera to the ground.
Dong Sun 0001, Zhaoying Zhou, Shen-Shu Xiong, Xiao-hao Wang
ICRA4