Publication

State observer design for quadratic parameter varying (QPV) systems

Conference Article

Conference

European Control Conference (ECC)

Edition

2019

Pages

2115-2120

Doc link

https://doi.org/10.23919/ECC.2019.8796263

File

Download the digital copy of the doc pdf document

Abstract

This paper addresses the problem of state observation in quadratic parameter varying (QPV) systems. In particular, a state observer is designed in such a way that the estimation error converges to zero with a desired rate of convergence in a given polytopic region of the error space. Under some assumptions, it is shown that design conditions can be given in the form of a set of bilinear matrix inequalities (BMIs), which can be reduced to linear matrix inequalities (LMIs), which are computationally more tractable. The main characteristics of the proposed approach are illustrated by means of an example, which confirms the validity of the theoretical results.

Categories

control nonlinearities, control theory.

Scientific reference

D. Rotondo and T.A. Johansen. State observer design for quadratic parameter varying (QPV) systems, 2019 European Control Conference, 2019, Naples, pp. 2115-2120.