Adaptive H∞ Synthesis for Linear Systems with Uncertain Parameters

Yury Orlov, Anders Rantzer, Luis T. Aguilar

Research output: Contribution to conferencePaper

Abstract

© 2018 IEEE. A performance-based approach is developed for adaptive robust control of linear systems with uncertain parameters. The dual control objective involves the disturbance attenuation and worst case identification of the unknown parameters. The proposed synthesis procedure relies on sufficient conditions, given in terms of suitable solutions of perturbed differential Riccati equations to exist. Although being reminiscent from the standard mathcal{H}-{infty} synthesis, the resulting Riccati equations are to be updated on-line with estimated values of the unknown plant parameters. Capabilities of the proposed synthesis are illustrated by simulations made for a scalar linear system with unknown parameters.
Original languageAmerican English
Pages5512-5517
Number of pages4960
DOIs
StatePublished - 18 Jan 2019
EventProceedings of the IEEE Conference on Decision and Control -
Duration: 18 Jan 2019 → …

Conference

ConferenceProceedings of the IEEE Conference on Decision and Control
Period18/01/19 → …

Cite this

Orlov, Y., Rantzer, A., & Aguilar, L. T. (2019). Adaptive H∞ Synthesis for Linear Systems with Uncertain Parameters. 5512-5517. Paper presented at Proceedings of the IEEE Conference on Decision and Control, . https://doi.org/10.1109/CDC.2018.8619125