The 27th Chinese Control and Decision Conference (2015 CCDC) 2015
DOI: 10.1109/ccdc.2015.7161905
|View full text |Cite
|
Sign up to set email alerts
|

Controlled Lagrangians control for a quadrotor helicopter

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2017
2017
2019
2019

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 16 publications
0
1
0
Order By: Relevance
“…, q n ] T ∈ R n is the position vector,q ∈ R n is the velocity vector, M(q) = M T (q) > 0 ∈ R n×m is the inertia matrix, C(q,q) is the coriolis and centripental forces vector, B(q) ∈ R n is the potential forces vector, G(q) ∈ R n×m is the input coupling matrix and u ∈ R m is the applied torque vector. In fact, there exist a variety of systems with the structure of Equation (3) such as quadrotor (Zheng, Zhu, Zuo, & Yan, 2015), wheeled inverted pendulum (Delgado & Kotyczka, 2016) and many other mechanical systems.…”
Section: Problem Statementmentioning
confidence: 99%
“…, q n ] T ∈ R n is the position vector,q ∈ R n is the velocity vector, M(q) = M T (q) > 0 ∈ R n×m is the inertia matrix, C(q,q) is the coriolis and centripental forces vector, B(q) ∈ R n is the potential forces vector, G(q) ∈ R n×m is the input coupling matrix and u ∈ R m is the applied torque vector. In fact, there exist a variety of systems with the structure of Equation (3) such as quadrotor (Zheng, Zhu, Zuo, & Yan, 2015), wheeled inverted pendulum (Delgado & Kotyczka, 2016) and many other mechanical systems.…”
Section: Problem Statementmentioning
confidence: 99%