Book chapter
Application of Block-oriented System Identification to Modelling Paralysed Muscle Under Electrical Stimulation
Block-oriented Nonlinear System Identification, pp.403-419
Lecture Notes in Control and Information Sciences, Springer London
2010
DOI: 10.1007/978-1-84996-513-2_24
Abstract
Most biomedical and biological systems have nonlinear dynamics [25, 27], which bring difficulties in modelling and identification. These systems are usually represented as a series of blocks, and each block stands for a linear or nonlinear subsystem. Among those block-oriented models, Wiener model, Hammerstein model and Wiener–Hammerstein model are very popular. The Wiener model is represented as a linear dynamics followed by a nonlinear static system, while the Hammerstein model is composed in the reversed order, and the Wiener–Hammerstein model is constructed as a nonlinear static system surrounded by two linear dynamics (see Figure 24.1). All those three type of models have been extensively researched, and many identification methods have been proposed (e.g. [2, 3, 4, 6, 11, 23, 31, 39, 40]). In this chapter, we use Wiener–Hammerstein system to model the paralysed muscle under electrical stimulation, and propose an effective identification method specifically for the proposed model.
Details
- Title: Subtitle
- Application of Block-oriented System Identification to Modelling Paralysed Muscle Under Electrical Stimulation
- Creators
- Zhijun Cai - University of IowaEr-Wei Bai - University of IowaRichard K Shield - University of Iowa
- Resource Type
- Book chapter
- Publication Details
- Block-oriented Nonlinear System Identification, pp.403-419
- Publisher
- Springer London; London
- Series
- Lecture Notes in Control and Information Sciences
- DOI
- 10.1007/978-1-84996-513-2_24
- eISSN
- 1610-7411
- ISSN
- 0170-8643
- Language
- English
- Date published
- 2010
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984197184502771
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