Parameter Dependent Robust Control Invariant Sets for LPV Systems with Bounded Parameter Variation Rate

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Mulagaleti, Sampath Kumar, Mejari, Manas, Bemporad, Alberto
Format: Preprint
Veröffentlicht: 2023
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866929486805598208
author Mulagaleti, Sampath Kumar
Mejari, Manas
Bemporad, Alberto
author_facet Mulagaleti, Sampath Kumar
Mejari, Manas
Bemporad, Alberto
contents Real-time measurements of the scheduling parameter of linear parameter-varying (LPV) systems enables the synthesis of robust control invariant (RCI) sets and parameter dependent controllers inducing invariance. We present a method to synthesize parameter-dependent robust control invariant (PD-RCI) sets for LPV systems with bounded parameter variation, in which invariance is induced using PD-vertex control laws. The PD-RCI sets are parameterized as configuration-constrained polytopes that admit a joint parameterization of their facets and vertices. The proposed sets and associated control laws are computed by solving a single semidefinite programing (SDP) problem. Through numerical examples, we demonstrate that the proposed method outperforms state-of-the-art methods for synthesizing PD-RCI sets, both with respect to conservativeness and computational load.
format Preprint
id arxiv_https___arxiv_org_abs_2309_02384
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Parameter Dependent Robust Control Invariant Sets for LPV Systems with Bounded Parameter Variation Rate
Mulagaleti, Sampath Kumar
Mejari, Manas
Bemporad, Alberto
Systems and Control
Real-time measurements of the scheduling parameter of linear parameter-varying (LPV) systems enables the synthesis of robust control invariant (RCI) sets and parameter dependent controllers inducing invariance. We present a method to synthesize parameter-dependent robust control invariant (PD-RCI) sets for LPV systems with bounded parameter variation, in which invariance is induced using PD-vertex control laws. The PD-RCI sets are parameterized as configuration-constrained polytopes that admit a joint parameterization of their facets and vertices. The proposed sets and associated control laws are computed by solving a single semidefinite programing (SDP) problem. Through numerical examples, we demonstrate that the proposed method outperforms state-of-the-art methods for synthesizing PD-RCI sets, both with respect to conservativeness and computational load.
title Parameter Dependent Robust Control Invariant Sets for LPV Systems with Bounded Parameter Variation Rate
topic Systems and Control
url https://arxiv.org/abs/2309.02384