TY - GEN
T1 - Controllability of Linear Time-Varying Systems with Quantized Controls and Finite Data-Rate
AU - Vicinansa, Guilherme S.
AU - Liberzon, Daniel
N1 - Funding Information:
This work was supported in part by the NSF grant CMMI-2106043. The authors are with the Coordinated Science Laboratory, University of Illinois Urbana-Champaign, 1308 W Main St, Urbana, USA, Email
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In this paper, we define a notion of controllability that is suitable for digital systems, i.e., with sampling, quantization, and operating with a finite data-rate. In particular, we study that notion for linear time-varying systems by proving a necessary condition and a sufficient condition for such systems to be controllable with quantized controls and finite data-rate.
AB - In this paper, we define a notion of controllability that is suitable for digital systems, i.e., with sampling, quantization, and operating with a finite data-rate. In particular, we study that notion for linear time-varying systems by proving a necessary condition and a sufficient condition for such systems to be controllable with quantized controls and finite data-rate.
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U2 - 10.1109/CDC51059.2022.9992626
DO - 10.1109/CDC51059.2022.9992626
M3 - Conference contribution
AN - SCOPUS:85147034215
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 3669
EP - 3674
BT - 2022 IEEE 61st Conference on Decision and Control, CDC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 61st IEEE Conference on Decision and Control, CDC 2022
Y2 - 6 December 2022 through 9 December 2022
ER -