Robust Output Feedback MPC: An Interval-Observer Approach - Archive ouverte HAL Access content directly
Conference Papers Year :

Robust Output Feedback MPC: An Interval-Observer Approach

(1) , (1) , (2) , (3)
1
2
3

Abstract

In this work, we address the problem of output-feedback Model Predictive Control (MPC) of constrained, linear, discrete-time systems corrupted by additive perturbations on both state and output. The use of estimated variables in MPC is challenging and computationally expensive due to constraint satisfaction. To overcome this issue, the proposed approach incorporates interval observers on the MPC scheme to cope with uncertainty, leading to a novel, simple and very intuitive methodology providing robust constraint satisfaction with reduced computational complexity.
Fichier principal
Vignette du fichier
_IntervalMPC.pdf (281.41 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02909626 , version 1 (30-07-2020)

Identifiers

  • HAL Id : hal-02909626 , version 1

Cite

Alex Reis de Souza, Denis Efimov, Tarek Raïssi, Xubin Ping. Robust Output Feedback MPC: An Interval-Observer Approach. Proc. IEEE CDC 2020, Dec 2020, Jeju Island, South Korea. ⟨hal-02909626⟩
371 View
307 Download

Share

Gmail Facebook Twitter LinkedIn More