Huyen Dinh
Kyoto University
34 Papers
143 Citations
Huyen Dinh is an academic researcher from Kyoto University. The author has contributed to research in topics: Nonlinear system & Artificial neural network. The author has an hindex of 11, co-authored 33 publications. Previous affiliations of Huyen Dinh include University of Florida.
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Papers
Approximate optimal trajectory tracking for continuous-time nonlinear systems
TL;DR: The control development in this paper guarantees ultimately bounded tracking of a desired trajectory, while also ensuring that the enacted controller approximates the optimal controller.
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Design of Modular Protein Tags for Orthogonal Covalent Bond Formation at Specific DNA Sequences.
TL;DR: Three different modular adaptors consisting of zinc finger proteins with distinct DNA sequence specificities and self-ligating protein tags with different substrate specificities achieved orthogonal covalent bond formation at respective sequences on the same DNA scaffold with an overall coassembly yield over 90%.
54
A modular zinc finger adaptor accelerates the covalent linkage of proteins at specific locations on DNA nanoscaffolds
TL;DR: A modular adaptor consisting of a sequence-specific DNA binding zinc finger protein and a self-ligating protein-tag was developed to expedite efficient formation of a covalent linkage between an individual protein molecule and the programmed address modified with a tag-substrate on the DNA nanostructure.
41
DNA Origami Scaffolds as Templates for Functional Tetrameric Kir3 K+ Channels.
Tatsuki Kurokawa,Shigeki Kiyonaka,Eiji Nakata,Masayuki Endo,Shohei Koyama,Emiko Mori,Nam Ha Tran,Huyen Dinh,Yuki Suzuki,Kumi Hidaka,Masaaki Kawata,Chikara Sato,Hiroshi Sugiyama,Takashi Morii,Yasuo Mori +14 more
TL;DR: The DNA origami with ZFP binding sites nearly tripled the K+ channel current activity elicited by heterotetrameric Kir3 channels in HEK293T cells, providing a useful template to control the oligomerization states of membrane protein complexes in vitro and in living cells.
36
Dynamic neural network-based robust identification and control of a class of nonlinear systems
Huyen Dinh,Shubhendu Bhasin,Warren E. Dixon +2 more
- 01 Dec 2010
TL;DR: A methodology for dynamic neural network identification-based control of nonlinear systems is proposed and new weight update laws for the DNN are proposed which guarantee asymptotic regulation of the identification error to zero.
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