Discrete-Time State Estimation is a state estimation framework that characterizes the evolution and inference of a system's internal state through a sequence of discrete time steps, distinguishing itself from continuous-time approaches by operating on sampled-data dynamics and updates at specific, separated time intervals.
357
Publications
20.3K
Citations
734
Authors
355
Institutions
Publications per year
2017–2026
103
Parents
Publications
357
A control-theoretic approach to flow control
Srinivasan Keshav · 1991 · 752 citations · Full text
Guaranteed state estimation by zonotopes
Teodoro Álamo, J.M. Bravo, Eduardo F. Camacho · Automatica · 2005 · 656 citations
1–5 of 357
Authors
734
- ZW
19
h-index
- YS
12
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- YL
10
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- AA
10
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- SZ
8
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1–5 of 734
Institutions
355
Brunel University of London
London, United Kingdom
17 h-index
27 publications
2.4K citations
Harbin Institute of Technology
Harbin, China
13 h-index
39 publications
2.9K citations
King Abdulaziz University
Jeddah, Saudi Arabia
12 h-index
20 publications
1.7K citations
Universidad de Guanajuato
Guanajuato City, Mexico
12 h-index
19 publications
888 citations
Yangzhou University
Yangzhou, China
10 h-index
12 publications
787 citations
Donghua University
Shanghai, China
10 h-index
19 publications
1.8K citations
Centre National de la Recherche Scientifique
Paris, France
9 h-index
23 publications
778 citations
University of Genoa
Genoa, Italy
9 h-index
17 publications
1.7K citations
1–8 of 355
Venues
- IEEE Transactions on Automatic Control
43 publications · 3.3K citations
28
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- Automatica
30 publications · 4K citations
24
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- Neurocomputing
21 publications · 884 citations
17
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- IEEE Transactions on Signal Processing
13 publications · 1K citations
12
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- IEEE Transactions on Neural Networks and Learning Systems
11 publications · 1.5K citations
11
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1–5