2014
DOI: 10.1109/tac.2014.2308606
|View full text |Cite
|
Sign up to set email alerts
|

The Observer Error Linearization Problem via Dynamic Compensation

Abstract: International audienceLinearization by output injection has played a key role in the observer design for nonlinear control systems for almost three decades. In this paper, following some recent works, ge- ometric necessary and sufficient conditions are derived for the existence of a dynamic compensator solving the problem under regular output transformation. An algorithm which computes a compensator of minimal order is given

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
14
0

Year Published

2015
2015
2021
2021

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 21 publications
(14 citation statements)
references
References 38 publications
(73 reference statements)
0
14
0
Order By: Relevance
“…tems up to input-output injections and uniformly observable systems. In the rst case, methods for turning systems into a linear system up to input-output injection through dieomorphism can be found in [23,24,11], and through immersion in [6,21]. In the second case of uniformly observable systems, due to the nonlinearity structure of the obtained system, authors use mainly highgain linear corrective term leading to at least a semiglobal exponential convergence of the error (global convergence can be performed when the nonlinearity has a Lipschitz property).…”
Section: Notations and Denitionsmentioning
confidence: 99%
“…tems up to input-output injections and uniformly observable systems. In the rst case, methods for turning systems into a linear system up to input-output injection through dieomorphism can be found in [23,24,11], and through immersion in [6,21]. In the second case of uniformly observable systems, due to the nonlinearity structure of the obtained system, authors use mainly highgain linear corrective term leading to at least a semiglobal exponential convergence of the error (global convergence can be performed when the nonlinearity has a Lipschitz property).…”
Section: Notations and Denitionsmentioning
confidence: 99%
“…Also, by Theorem 2, system (67) is not RDOEL. However, Califano and Moog (2014) showed that system (67) is observer error linearizable via a more general dynamic compensator than the restricted one (5), together with multi-output scheme.…”
Section: Examplesmentioning
confidence: 99%
“…As we see in Example 4, our conditions cannot be applied for (general) DOEL problem, while the conditions of Califano and Moog (2014) can be. If system is RDOEL, then our solution is different from the one of Califano and Moog (2014), as mentioned in Remark 4.…”
Section: Introductionmentioning
confidence: 96%
See 2 more Smart Citations