Markov Jump Systems
Markov Jump Systems is a stochastic dynamic system in which the evolution of the system state follows a Markovian jump process, such that transitions between different operational modes are governed by a continuous-time Markov chain and each mode corresponds to a distinct deterministic or stochastic subsystem.
2.2K
Publications
122.1K
Citations
2.6K
Authors
807
Institutions
Publications per year
2017–2026
1K
Variants
Markovian Jump Systems
Parents
2.2K
Stochastic stability properties of jump linear systems
Xiangbo Feng, Kenneth A. Loparo, Y. Ji et al. · IEEE Transactions on Automatic Control · 1992 · 724 citations
Dissipation Bounds All Steady-State Current Fluctuations
Todd R. Gingrich, Jordan M. Horowitz, Nikolay Perunov et al. · Physical Review Letters · 2016 · 722 citations · Full text
1–5 of 2.2K
2.6K
62
h-index
48
h-index
45
h-index
44
h-index
35
h-index
1–5 of 2.6K
807

Harbin Institute of Technology
Harbin, China
70 h-index
421 publications
33.1K citations

The University of Adelaide
Adelaide, Australia
54 h-index
100 publications
11.6K citations

Yeungnam University
Daegu, South Korea
46 h-index
118 publications
9.8K citations
Anhui University of Technology
Ma'anshan City, China
45 h-index
205 publications
14.3K citations
Nanjing University of Science and Technology
Nanjing, China
43 h-index
241 publications
12.7K citations
East China University of Science and Technology
Shanghai, China
42 h-index
115 publications
10.2K citations

Victoria University
Melbourne, Australia
40 h-index
60 publications
8.1K citations
Politecnico di Milano
Milan, Italy
36 h-index
68 publications
7.2K citations
1–8 of 807
160 publications · 20.7K citations
77
h-index
113 publications · 13K citations
60
h-index
80 publications · 6.8K citations
49
h-index
60 publications · 4.3K citations
40
h-index
IJRCEA · 116 publications · 5K citations
39
h-index
1–5