TY - GEN
T1 - On the Computation of Control Inputs for Linear Ensembles
AU - Zeng, Shen
AU - Zhang, Wei
AU - Li, Jr Shin
N1 - Funding Information:
Shen Zeng, Wei Zhang, and Jr-Shin Li are with the Department of Electrical and Systems Engineering, Washington University, St. Louis, MO 63130, USA. This work was supported in part by the NSF under the award CMMI-1462796 and AFOSR under the award FA9550-17-1-0166. Correspondence to [email protected]
Publisher Copyright:
© 2018 AACC.
PY - 2018/8/9
Y1 - 2018/8/9
N2 - In this paper, we revisit the classical ensemble control formulation and provide a solution to the longstanding problem of systematically designing input signals that realize a desired steering between two ensemble states. We present a new computational approach based on a suitable discretization of the integral operator related to the ensemble formulation. Specifically, we apply different methods to appropriately discretize the range operator of the ensemble system, by which we obtain a computational procedure to synthesize control signals that steer ensembles in both a robust and minimum energy fashion. We also present an extension to the previously introduced polynomial approximation technique, which is a closely related special case. This yields a unified framework for the ensemble control of linear systems, which is illustrated by means of computational examples.
AB - In this paper, we revisit the classical ensemble control formulation and provide a solution to the longstanding problem of systematically designing input signals that realize a desired steering between two ensemble states. We present a new computational approach based on a suitable discretization of the integral operator related to the ensemble formulation. Specifically, we apply different methods to appropriately discretize the range operator of the ensemble system, by which we obtain a computational procedure to synthesize control signals that steer ensembles in both a robust and minimum energy fashion. We also present an extension to the previously introduced polynomial approximation technique, which is a closely related special case. This yields a unified framework for the ensemble control of linear systems, which is illustrated by means of computational examples.
UR - http://www.scopus.com/inward/record.url?scp=85052590731&partnerID=8YFLogxK
U2 - 10.23919/ACC.2018.8431390
DO - 10.23919/ACC.2018.8431390
M3 - Conference contribution
AN - SCOPUS:85052590731
SN - 9781538654286
T3 - Proceedings of the American Control Conference
SP - 6101
EP - 6107
BT - 2018 Annual American Control Conference, ACC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 Annual American Control Conference, ACC 2018
Y2 - 27 June 2018 through 29 June 2018
ER -