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Invariant set analysis for SISO discrete-time polynomial systems with dynamic quantizers
- Source :
- International Journal of Robust and Nonlinear Control. 28:5495-5508
- Publication Year :
- 2018
- Publisher :
- Wiley, 2018.
-
Abstract
- This paper deals with the stability analysis problem of discrete‐time polynomial systems subject to input quantization. The quantizer under consideration is supposed to be dynamic. Indeed, considering the quantization error as bounded disturbances, the regional input‐to‐state stability is studied. The approach developed consists in characterizing two nested invariant sets where the outer one is a region of attraction and the inner one is the robust invariant set with respect to the quantization error. By defining a performance index between the quantized system and the quantizer‐free system, a quasi‐convex problem is formulated to minimize an upper bound on such a performance index.
- Subjects :
- 0209 industrial biotechnology
Mechanical Engineering
General Chemical Engineering
Quantization (signal processing)
020208 electrical & electronic engineering
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Biomedical Engineering
Aerospace Engineering
Data_CODINGANDINFORMATIONTHEORY
02 engineering and technology
Upper and lower bounds
Performance index
Industrial and Manufacturing Engineering
020901 industrial engineering & automation
Discrete time and continuous time
Control and Systems Engineering
Bounded function
0202 electrical engineering, electronic engineering, information engineering
Applied mathematics
Electrical and Electronic Engineering
Mathematics
Subjects
Details
- ISSN :
- 10498923
- Volume :
- 28
- Database :
- OpenAIRE
- Journal :
- International Journal of Robust and Nonlinear Control
- Accession number :
- edsair.doi...........8a06f152a60b43e30c58a22639521b84
- Full Text :
- https://doi.org/10.1002/rnc.4326