@inproceedings{e4fe5b7d565b4caea5d854bbe624bccb,
title = "An adaptive approach to zooming-based control for uncertain systems with input quantization",
abstract = "This paper establishes an adaptive tracking approach for linear systems with parametric uncertainties, when input measurements are quantized due to the presence of a communication network closing the control loop. In order to address the tracking problem, a novel dynamic quantizer with dynamic offset is introduced and embedded into an adaptive hybrid control strategy based on zooming mechanism. A Lyapunov-based approach is used to derive the adaptive adjustments for the control gains and for the dynamic range and dynamic offset of the quantizer: it is proven analytically that the proposed adjustments guarantee asymptotic state tracking. Quantized adaptive control of an electrohydraulic system is given as an example of the effectiveness of the designed control methodology.",
keywords = "Hybrid dynamic quantization, asymptotic tracking, input quantization, model reference adaptive control",
author = "Nikolaos Moustakis and Shuai Yuan and Simone Baldi",
note = "Publisher Copyright: {\textcopyright} 2018 European Control Association (EUCA).; 16th European Control Conference, ECC 2018 ; Conference date: 12-06-2018 Through 15-06-2018",
year = "2018",
month = nov,
day = "27",
doi = "10.23919/ECC.2018.8550109",
language = "英语",
series = "2018 European Control Conference, ECC 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2423--2428",
booktitle = "2018 European Control Conference, ECC 2018",
address = "美国",
}