Book chapter
An Optimal Two-stage Identification Algorithm for Hammerstein–Wiener Nonlinear Systems
Block-oriented Nonlinear System Identification, pp.27-34
Lecture Notes in Control and Information Sciences, Springer London
2010
DOI: 10.1007/978-1-84996-513-2_3
Abstract
Consider a scalar stable discrete time nonlinear dynamic system represented by
1\documentclass[12pt]{minimal}
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\begin{document}$$ y(k) = \sum_{i=1}^{p} a_i \{ \sum_{l=1}^q d_l g_l[y(k-i)]\} + \sum_{j=1}^{n} b_j \{ \sum_{t=1}^{m} c_t f_t[u(k-j)] \} + \eta(k) $$\end{document}
where y(k), u(k) and η(k) are the system output, input and disturbance at time k respectively. The gl(·)’s and ft(·)’s are non-linear functions
Details
- Title: Subtitle
- An Optimal Two-stage Identification Algorithm for Hammerstein–Wiener Nonlinear Systems
- Creators
- Er-Wei Bai - University of Iowa
- Resource Type
- Book chapter
- Publication Details
- Block-oriented Nonlinear System Identification, pp.27-34
- Publisher
- Springer London; London
- Series
- Lecture Notes in Control and Information Sciences
- DOI
- 10.1007/978-1-84996-513-2_3
- eISSN
- 1610-7411
- ISSN
- 0170-8643
- Language
- English
- Date published
- 2010
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984197312402771
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