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Reduced-Order Observers for Linear Metzlerian Systems
- Source :
- IFAC-PapersOnLine. 53:4553-4558
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- For linear time-invariant Metzlerian systems this paper proposes an original approach required to reflect structural system constraints and positiveness in solving the problem of reduced-order Metzlerian observer design. Three forms of design conditions are proposed, all of them exploiting a set of common system parameter constraint representation in the form of linear matrix inequalities, while a systematic H∞ norm performance strategy is focused on to guarantee the observer asymptotic stability. To serve as a potential estimator of the plant state vector, the impact of strictness and non strictness Metzler matrix structure in design is clarified and reflected in adaptation of the design conditions. A numerical example is included to assess the feasibility of the technique and its applicability.
- Subjects :
- 0209 industrial biotechnology
Observer (quantum physics)
Computer science
020208 electrical & electronic engineering
Structure (category theory)
Estimator
02 engineering and technology
Metzler matrix
Constraint (information theory)
020901 industrial engineering & automation
Exponential stability
Control and Systems Engineering
Control theory
Norm (mathematics)
0202 electrical engineering, electronic engineering, information engineering
Representation (mathematics)
Subjects
Details
- ISSN :
- 24058963
- Volume :
- 53
- Database :
- OpenAIRE
- Journal :
- IFAC-PapersOnLine
- Accession number :
- edsair.doi...........242e3d5c6962bb28cd131d3bf36784b5
- Full Text :
- https://doi.org/10.1016/j.ifacol.2020.12.476