An adaptive approach to zooming-based control for uncertain systems with input quantization

An adaptive approach to zooming-based control for uncertain systems with input quantization

Moustakis, N. (TU Delft Team Jan-Willem van Wingerden)
Yuan, S. (TU Delft Team Bart De Schutter)
Baldi, S. (TU Delft Team Bart De Schutter)

2018

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.

asymptotic tracking
Hybrid dynamic quantization
input quantization
model reference adaptive control

http://resolver.tudelft.nl/uuid:af705895-6489-4e02-b2f2-db16217d0bad

https://doi.org/10.23919/ECC.2018.8550109

IEEE, Piscataway, NJ, USA

978-3-9524-2699-9

Proceedings of 2018 European Control Conference (ECC2018)

16th European Control Conference, ECC 2018, 2018-06-12 → 2018-06-15, Limassol, Cyprus

Accepted Author Manuscript

Institutional Repository

conference paper

© 2018 N. Moustakis, S. Yuan, S. Baldi