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Hussein Al Jleilaty

dblp:246/7796 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2019
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

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
1 paper
Motion planning and robot control · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
mobile robot control
0.412019
Model Reference Adaptive Control of a Two-Wheeled Mobile Robot · ICRA 2019
Robotics › Motion planning and robot control › robot control › adaptive control
adaptive nonlinear control
0.112019
Model Reference Adaptive Control of a Two-Wheeled Mobile Robot · ICRA 2019

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

model reference adaptive control · 0.4
YearPublicationVenuePosition
2019 Model Reference Adaptive Control of a Two-Wheeled Mobile Robot
abstract
The inverted pendulum is by nature a dynamically unstable system and may be subjected to severe disturbances due to its environmental or loading conditions. This paper formulates a design for a nonlinear controller to balance a two-wheeled mobile robot (TWMR) based on Model Reference Adaptive Control. The proposed solution overcomes the limitations of control systems that rely on fixed parameter controllers. Given the nonlinear single-input multi-output (SIMO) nature of the TWMR platform, the proposed adaptive controller can handle non-linearities without the need for linearization, and inherently dealing with SIMO systems. By studying the influence that hidden dynamic effects can cause, we show the preference of the proposed controller over other designs. Simulation results demonstrate the applicability and efficiency of our proposed design, and experimental results validate the effectiveness of the proposed scheme in guaranteeing asymptotic output tracking, even in the presence of unknown disturbances.
Hussein Al Jleilaty, Daniel C. Asmar, Naseem A. Daher
ICRA1