Skip to Main content Skip to Navigation
Journal articles

Identification of FIR systems based on quantized output measurements: a quadratic programming-based method

Jiandong Wang 1 Qinghua Zhang 2
2 I4S - Statistical Inference for Structural Health Monitoring
IFSTTAR/COSYS - Département Composants et Systèmes, Inria Rennes – Bretagne Atlantique
Abstract : This paper proposes a quadratic programming (QP)-based method for identification of finite impulse response (FIR) dynamic systems from quantized or binary data. The main idea of the proposed method is to reformulate this identification problem, usually viewed as a nonlinear estimation problem with discontinuous nonlinearities, in the form of a standard QP problem, which is a convex optimization problem and can be solved efficiently. The so-called complete input conditions to ensure the unique solution of the QP problem are developed, and the consistency of the estimated parameters is established under the complete input conditions. Numerical examples demonstrate the effectiveness of the proposed method.
Document type :
Journal articles
Complete list of metadata

https://hal.inria.fr/hal-01081896
Contributor : Qinghua Zhang <>
Submitted on : Wednesday, November 12, 2014 - 10:29:41 AM
Last modification on : Tuesday, December 8, 2020 - 10:20:25 AM

Identifiers

Collections

Citation

Jiandong Wang, Qinghua Zhang. Identification of FIR systems based on quantized output measurements: a quadratic programming-based method. IEEE Transactions on Automatic Control, Institute of Electrical and Electronics Engineers, 2014, pp.1-6. ⟨10.1109/TAC.2014.2357133⟩. ⟨hal-01081896⟩

Share

Metrics

Record views

264