2012
DOI: 10.7498/aps.61.024502
|View full text |Cite
|
Sign up to set email alerts
|

A second order gradient representation of mechanics system

Abstract: A gradient representation and a second order gradient representation of the mechanics system are studied. The differential equations of motion of the holonomic and nonholonomic mechanics systems are expressed in the canonical coordinates. A condition under which the system can be considered as a gradient system is given. A condition under which the system can be considered as a second order gradient system is obtained. Two examples are given to illustrate the application of the result.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 7 publications
(2 citation statements)
references
References 18 publications
0
2
0
Order By: Relevance
“…It is an important and difficult problem to study the stability for a nonholonomic constrained system. [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] It is also difficult to construct the Lyapunov function directly from the differential equations of the dynamical system. The authors in Ref.…”
Section: Introductionmentioning
confidence: 99%
“…It is an important and difficult problem to study the stability for a nonholonomic constrained system. [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] It is also difficult to construct the Lyapunov function directly from the differential equations of the dynamical system. The authors in Ref.…”
Section: Introductionmentioning
confidence: 99%
“…Some results have been obtained in the research of the relation between constrained mechanical systems and gradient systems. [6][7][8][9][10][11][12][13][14][15][16][17][18] However, in those studies, the matrix or the function of the gradient system has no time t. When its matrix or function contains time t, the system can be called a generalized gradient system. There are two types of generalized gradient systems that are particularly useful for the study of stability.…”
Section: Introductionmentioning
confidence: 99%