Adaptive Numerical Differentiation for Extremum Seeking with Sensor Noise
dc.contributor.author | Verma, Shashank | |
dc.contributor.author | Salazar, Juan Augusto Paredes | |
dc.contributor.author | Delgado, Jhon Manuel Portella | |
dc.contributor.author | Goel, Ankit | |
dc.contributor.author | Bernstein, Dennis S. | |
dc.date.accessioned | 2025-02-13T17:56:11Z | |
dc.date.available | 2025-02-13T17:56:11Z | |
dc.date.issued | 2025-01-08 | |
dc.description.abstract | Extremum-seeking control (ESC) is widely used to optimize performance when the system dynamics are uncertain. However, sensitivity to sensor noise is an important issue in ESC implementation due to the use of high-pass filters or gradient estimators. To reduce the sensitivity of ESC to noise, this paper investigates the use of adaptive input and state estimation (AISE) for numerical differentiation. In particular, this paper develops extremum-seeking control with adaptive input and state estimation (ESC/AISE), where the high-pass filter of ESC is replaced by AISE to improve performance under sensor noise. The effectiveness of ESC/AISE is illustrated via numerical examples. | |
dc.description.sponsorship | This research supported in part by NSF grant CMMI 2031333. | |
dc.description.uri | http://arxiv.org/abs/2501.04275 | |
dc.format.extent | 8 pages | |
dc.genre | journal articles | |
dc.genre | preprints | |
dc.identifier | doi:10.13016/m2rd57-zjph | |
dc.identifier.uri | https://doi.org/10.48550/arXiv.2501.04275 | |
dc.identifier.uri | http://hdl.handle.net/11603/37693 | |
dc.language.iso | en_US | |
dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
dc.relation.ispartof | UMBC Faculty Collection | |
dc.relation.ispartof | UMBC Mechanical Engineering Department | |
dc.relation.ispartof | UMBC Student Collection | |
dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | |
dc.subject | UMBC Estimation, Control, and Learning Laboratory (ECLL). | |
dc.subject | Electrical Engineering and Systems Science - Systems and Control | |
dc.subject | Computer Science - Systems and Control | |
dc.title | Adaptive Numerical Differentiation for Extremum Seeking with Sensor Noise | |
dc.type | Text | |
dcterms.creator | https://orcid.org/0000-0003-2778-686X | |
dcterms.creator | https://orcid.org/0000-0002-4146-6275 |
Files
Original bundle
1 - 1 of 1