Publication
State observer design for quadratic parameter varying (QPV) systems
Conference Article
Conference
European Control Conference (ECC)
Edition
18th
Pages
2115-2120
Doc link
https://doi.org/10.23919/ECC.2019.8796263
File
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, 18th European Control Conference, 2019, Naples, Italy, pp. 2115-2120.
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