Identification Using Binary Measurements for IIR Systems
| Autor: | Eric Pigeon, Abdelhak Goudjil, Mathieu Pouliquen, Olivier Gehan |
|---|---|
| Přispěvatelé: | Laboratoire d'automatique de Caen (LAC), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU) |
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
IIR models Computer science Binary number 02 engineering and technology Transfer function [SPI.AUTO]Engineering Sciences [physics]/Automatic Finite impulse response filters 020901 industrial engineering & automation Transfer functions Electrical and Electronic Engineering Infinite impulse response Quantization (signal) system identification Flyback transformers Computer Science Applications Parameter identification problem Identification (information) Noise Distribution function Binary sensors Control and Systems Engineering Additive noise Key (cryptography) Estimation Algorithm Distribution functions |
| Zdroj: | IEEE Transactions on Automatic Control IEEE Transactions on Automatic Control, Institute of Electrical and Electronics Engineers, 2019, pp.1-1. ⟨10.1109/TAC.2019.2921657⟩ |
| ISSN: | 2334-3303 0018-9286 |
| Popis: | International audience; This paper studies the identification of infinite impulse response (IIR) systems with binary-valued measurements. The key to our approach is to recast the initial identification problem into an identification problem in the set-membership framework. This enables us to identify the system using an identification algorithm devoted to IIR systems in such a framework. Although the proposed algorithm is designed for noise free data, an analysis is provided in the presence of noise, and illustrative examples are provided to demonstrate the effectiveness of the algorithm. |
| Databáze: | OpenAIRE |
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