On minimal LPV state-space representations in innovation form: an algebraic characterization
Elie Rouphael, Mihaly Petreczky, Lotfi Belkoura

TL;DR
This paper defines minimal LPV state-space representations in innovation form, provides algebraic conditions for minimality, and proposes an algorithm to transform any LPV model into a minimal innovation form.
Contribution
It introduces a formal definition of minimal LPV innovation form and offers an algebraic characterization and transformation algorithm.
Findings
Algebraic conditions for minimal LPV innovation form
A systematic algorithm for minimal realization transformation
Enhanced understanding of LPV state-space minimality
Abstract
In this paper we will propose a definition of the concept of minimal state-space representations in innovation form for LPV. We also present algebraic conditions for a stochastic LPV state-space representation to be minimal in forward innovation form and discuss an algorithm for transforming any stochastic LPV state-space representation to a minimal one in innovation form.
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Taxonomy
TopicsProduct Development and Customization · Petri Nets in System Modeling · Flexible and Reconfigurable Manufacturing Systems
