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Empirical Differential Balancing for Nonlinear Systems
- Source :
- IFAC-PapersOnLine, 6326-6331, STARTPAGE=6326;ENDPAGE=6331;TITLE=IFAC-Papers
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- In this paper, we consider empirical balancing of a nonlinear system by using its prolonged system, which consists of the original nonlinear system and its variational system. For the prolonged system, we define differential reachability and observability Gramians, which are matrix valued functions of the state trajectory (i.e. the initial state and input trajectory) of the original system. The main result of this paper is showing that for a fixed state trajectory, it is possible to compute the values of these Gramians by using impulse and initial state responses of the variational system. By using the obtained values of the Gramians, balanced truncation is doable along the fixed state trajectory without solving nonlinear partial differential equations. An example demonstrates our proposed method to compute a reduced order model along a limit cycle of a coupled van der Pol oscillator.
- Subjects :
- Imagination
0209 industrial biotechnology
Van der Pol oscillator
Partial differential equation
media_common.quotation_subject
02 engineering and technology
Impulse (physics)
Nonlinear system
020901 industrial engineering & automation
Control and Systems Engineering
Control theory
Reachability
Limit cycle
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Observability
Mathematics
media_common
Subjects
Details
- ISSN :
- 24058963
- Volume :
- 50
- Database :
- OpenAIRE
- Journal :
- IFAC-PapersOnLine
- Accession number :
- edsair.doi.dedup.....910111a0d77b522b28cfa396198b37ae
- Full Text :
- https://doi.org/10.1016/j.ifacol.2017.08.920