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Joint model and scheduling order reduction via balanced truncation for parameter-varying spatially interconnected systems
- Source :
- ACC
- Publication Year :
- 2016
- Publisher :
- IEEE, 2016.
-
Abstract
- This paper presents a balanced truncation technique for model and scheduling order-reduction (i.e. reduction of number of states as well as of scheduling parameters) of exponentially stable temporal- and spatial-LPV interconnected systems. The reduction is based on the application of the full block S-procedure, using both Constant Gramians (CGs) and Parameter-Dependent Gramians (PDGs). The reduced models preserve exponential stability and the spatial structure of the system. The proposed method is demonstrated on an experimentally identified spatially interconnected model of an actuated beam.
- Subjects :
- 0209 industrial biotechnology
Spatial structure
Order reduction
02 engineering and technology
Dynamic priority scheduling
Balanced truncation
Scheduling (computing)
020901 industrial engineering & automation
Exponential stability
Aerospace electronics
Computer Science::Systems and Control
Control theory
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Mathematics
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2016 American Control Conference (ACC)
- Accession number :
- edsair.doi...........1e7bf862eb7beacdedf0864d9bbc6b5d