TY - GEN
T1 - Data-driven moment-based control of linear ensemble systems
AU - Vu, Minh
AU - Singhal, Bharat
AU - Li, Jr Shin
AU - Zeng, Shen Shen
N1 - Publisher Copyright:
© 2024 AACC.
PY - 2024
Y1 - 2024
N2 - The problem of controlling ensembles of similar dynamical systems appears in many scientific domains, ranging from quantum physics and neuroscience to robotic engineering. These applications have led to the development of a variety of ensemble control methods. These methods, although effective, rely on a critical assumption, namely, the availability of an accurate parametric model for the entire population. In this paper, we relax such assumptions and present a data-driven framework for designing both open-loop and feedback control schemes for ensemble systems, which only uses the measurement of a small number of subsystems within the population. We validate our approach through numerical analysis and simulation, showing its effectiveness in regulating large populations with just a few of their subsystems measured.
AB - The problem of controlling ensembles of similar dynamical systems appears in many scientific domains, ranging from quantum physics and neuroscience to robotic engineering. These applications have led to the development of a variety of ensemble control methods. These methods, although effective, rely on a critical assumption, namely, the availability of an accurate parametric model for the entire population. In this paper, we relax such assumptions and present a data-driven framework for designing both open-loop and feedback control schemes for ensemble systems, which only uses the measurement of a small number of subsystems within the population. We validate our approach through numerical analysis and simulation, showing its effectiveness in regulating large populations with just a few of their subsystems measured.
UR - http://www.scopus.com/inward/record.url?scp=85204450471&partnerID=8YFLogxK
U2 - 10.23919/ACC60939.2024.10644626
DO - 10.23919/ACC60939.2024.10644626
M3 - Conference contribution
AN - SCOPUS:85204450471
T3 - Proceedings of the American Control Conference
SP - 5004
EP - 5009
BT - 2024 American Control Conference, ACC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 American Control Conference, ACC 2024
Y2 - 10 July 2024 through 12 July 2024
ER -