Infinite-Horizon Optimization is a dynamic optimization framework characterized by an unbounded time horizon, in which the objective functional and system dynamics are defined over an infinite sequence of periods, distinguishing it from finite-horizon counterparts by necessitating considerations of long-run behavior, stationarity, and convergence properties in the solution.
332
Publications
19.4K
Citations
551
Authors
314
Institutions
Publications per year
2017–2026
60
Parents
Publications
332
1–5 of 332
Authors
551
- RL
12
h-index
- DL
6
h-index
- VM
6
h-index
- QW
5
h-index
- WE
5
h-index
1–5 of 551
Institutions
314
University of Michigan
Ann Arbor, United States
15 h-index
34 publications
1.2K citations
Massachusetts Institute of Technology
Cambridge, United States
10 h-index
19 publications
924 citations
Stanford University
Stanford, United States
10 h-index
11 publications
581 citations
University of California, Berkeley
Berkeley, United States
9 h-index
13 publications
358 citations
University of Florida
Gainesville, United States
8 h-index
23 publications
3.7K citations
Carnegie Mellon University
Pittsburgh, United States
7 h-index
9 publications
334 citations
Yale University
New Haven, United States
7 h-index
7 publications
345 citations
Chinese Academy of Sciences
Beijing, China
7 h-index
12 publications
1.7K citations
1–8 of 314
Venues
- IEEE Transactions on Automatic Control
31 publications · 2.2K citations
22
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- Operations Research
18 publications · 1K citations
17
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- SIAM Journal on Control and Optimization
16 publications · 977 citations
14
h-index
- Journal of Optimization Theory and Applications
20 publications · 568 citations
14
h-index
- Management Science
11 publications · 576 citations
11
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1–5