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A symmetric group method for controllability characterization of bilinear systems on the special euclidean group
Wei Zhang,
Jr Shin Li
Department of Electrical & Systems Engineering
Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS)
DBBS - Computational and Systems Biology
DBBS - Biomedical Informatics and Data Science
DBBS - Biochemistry, Biophysics, and Structural Biology
Research output
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Contribution to journal
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Conference article
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peer-review
1
Scopus citations
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Dive into the research topics of 'A symmetric group method for controllability characterization of bilinear systems on the special euclidean group'. Together they form a unique fingerprint.
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Keyphrases
Grouping Method
100%
Symmetric Group
100%
Bilinear Systems
100%
Special Euclidean Group
100%
System Form
25%
Wide-ranging
25%
Systems Science
25%
System Dynamics
25%
Systems Engineering
25%
Engineering Science
25%
Vector Field
25%
Controllability Analysis
25%
Finite Sets
25%
Special Orthogonal Group
25%
Algebraic Framework
25%
Permutation multiplication
25%
Lie Brackets
25%
Main Idea
25%
Lie Algebra Rank Condition
25%
Natural Sciences
25%
Set Controllability
25%
Mathematics
Symmetric Group
100%
Euclidean Group
100%
Permutation
66%
Vector Field
33%
Finite Set
33%
Lie Bracket
33%
Submanifold
33%
Special Orthogonal Group
33%
Lie Algebra
33%
Model Form
33%