A novel optimization algorithm for MIMO Hammerstein model identification under heavy-tailed noise-Reference-Cited by-同舟云学术

A novel optimization algorithm for MIMO Hammerstein model identification under heavy-tailed noise

Published:2018-01 Issue: Volume:72 Page:77-91
ISSN:0019-0578
Container-title:ISA Transactions
language:en
Short-container-title:ISA Transactions

Author:

Jin Qibing,Wang Hehe,Su Qixin,Jiang Beiyan,Liu Qie

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference41 articles.

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2. An iterative method for the identification of nonlinear systems using a Hammerstein model;Narendra;IEEE Trans Autom Control,1966

3. Parametric identification of Hammerstein systems with consistency results using stochastic inputs;Zhao;IEEE Trans Autom Control,2010

4. Generalized predictive control system design based on non-linear identification by using Hammerstein model;Adachi;Trans Inst Syst, Control Inf Eng,1995

5. Identification of MIMO Hammerstein systems using cardinal spline functions;Chan;J Process Control,2006

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