Conference Contribution
Adaptive H-infinity Synthesis for Linear Systems with Uncertain Parameters
Yury Orlov, Anders Rantzer, Luis T. Aguilar
Abstract
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 H-infinity 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
Links
http://dx.doi.org/10.1109/CDC.2018.8619125
In 57th IEEE Conference on Decision and Control, Miami Beach, United States, December 2019.