Discussion on: "Subspace-based Identification Algorithms for Hammerstein and Wiener Models"
نویسنده
چکیده
1. Pearson RK. Selecting nonlinear model structures for computer control. J Process Control 2003; 13: 1–26 2. Bloemen HHJ, Chou CT, van den Boom TJJ, Verdult V, Verhaegen M, Backx TC. Wiener model identification and predictive control for dual composition control of a distillation column. J Process Control 2001; 11: 601–620 3. Westwick D, Verhaegen M. Identifying MIMO Wiener systems using subspace model identification methods. Signal Process 1996; 52: 235–258 4. Verhaegen M, Westwick D. Identifying MIMO Hammerstein systems in the context of subspace model identification methods. Int J Control 1996; 63: 331–349
منابع مشابه
Nonlinear System Identification Using Hammerstein-Wiener Neural Network and subspace algorithms
Neural networks are applicable in identification systems from input-output data. In this report, we analyze theHammerstein-Wiener models and identify them. TheHammerstein-Wiener systems are the simplest type of block orientednonlinear systems where the linear dynamic block issandwiched in between two static nonlinear blocks, whichappear in many engineering applications; the aim of nonlinearsyst...
متن کاملSubspace Identification of Periodically Switching Hammerstein-wiener Models for Magnetospheric Dynamics
Two existing Hammerstein-Wiener identification algorithms and a third novel Hammerstein-Wiener identification algorithm are considered for application to the magnetospheric system. A modified subspace algorithm that allows missing data points is described and used for identifying periodically switching Hammerstein-Wiener models, to capture the periodically time-varying nature of the system. The...
متن کاملSubspace Identification of Multivariable Hammerstein and Wiener Models
In this paper, subspace-based algorithms for the simultaneous identification of the linear and nonlinear parts of multivariable Hammerstein and Wiener models are presented. The proposed algorithms consist basically of two steps. The first one is a standard (linear) subspace algorithm applied to an equivalent linear system whose inputs (respectively outputs) are filtered (by the nonlinear functi...
متن کاملHammerstein and Wiener Model Identification Using Rational Orthonormal Bases
In this paper, non iterative algorithms for the identification of (multivariable) Hammerstein and Wiener systems are presented. The proposed algorithms are numerically robust, since they are based only on least squares estimation and singular value decomposition. For the Hammerstein model, the algorithm provides consistent estimates even in the presence of coloured output noise, under weak assu...
متن کاملAn Iterative Method for Wiener–hammerstein Systems Parameter Identification
The class of nonlinear dynamic systems which can be represented by the block-oriented models, ie, by interconnection of linear dynamic and nonlinear static subsystems, has been studied by many authors. In the simplest case the models consist of a combination of two blocks giving the so-called Hammerstein (nonlinear-linear) and Wiener (linear-nonlinear) models and there are many methods for nonl...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Eur. J. Control
دوره 11 شماره
صفحات -
تاریخ انتشار 2005