Extremum Seeking Control is a model-free real-time optimization strategy within nonlinear process control that dynamically adjusts system inputs to drive the output toward an optimal operating point by estimating and following the gradient of an unknown performance function.
545
Publications
27.1K
Citations
885
Authors
389
Institutions
Publications per year
2017–2026
168
Variants
Esc
Parents
Publications
545
Real-time optimization by extremum-seeking control
Choice Reviews Online · 2004 · 836 citations
On non-local stability properties of extremum seeking control
Ying Tan, Dragan Nešić, Iven Mareels · Automatica · 2006 · 610 citations
1–5 of 545
Authors
885
- MK
28
h-index
- MG
24
h-index
- DN
20
h-index
- CM
18
h-index
- YL
18
h-index
1–5 of 885
Institutions
389
University of California San Diego
San Diego, United States
29 h-index
90 publications
7.1K citations
The University of Melbourne
Melbourne, Australia
26 h-index
107 publications
8.5K citations
Queen's University
Kingston, Canada
24 h-index
66 publications
3.4K citations
The University of Texas at Dallas
Richardson, United States
19 h-index
54 publications
1.8K citations
UCLouvain
Louvain-la-Neuve, Belgium
17 h-index
27 publications
1.3K citations
University of Stuttgart
Stuttgart, Germany
13 h-index
31 publications
1K citations
Universidade do Estado do Rio de Janeiro
Rio de Janeiro, Brazil
13 h-index
20 publications
466 citations
University of Pitesti
Piteşti, Romania
13 h-index
34 publications
908 citations
1–8 of 389
Venues
- Automatica
46 publications · 5.9K citations
32
h-index
- IEEE Transactions on Automatic Control
27 publications · 1.5K citations
20
h-index
- IEEE Transactions on Control Systems Technology
26 publications · 1.5K citations
19
h-index
- IFAC-PapersOnLine
19 publications · 374 citations
14
h-index
- IEEE Transactions on Industrial Electronics
14 publications · 1.3K citations
13
h-index
1–5