Gray-box identification of block-oriented nonlinear models

By R. Pearson, M. Pottmann. 2000

287 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/7b25735a8e2d98d0e57d3d4f36350976a2a0c461

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In Control and Systems Engineering

1. Feng Ding
2. Tongwen Chen
3. Mehdi Dehghan
4. Masoud Hajarian
5. Juan Carlos Gomez
6. Enrique Baeyens
7. Peter Xiaoping Liu
8. Jie Ding

Citations in the corpus

• Identification of Hammerstein nonlinear ARMAX systems (2005, background): “Ifthe input is taken as a pseudo-random binary sequence or uncorrelated white noise sequence, then (A4) is automatically satisfied because u(t) is a persistent excitation signal, and so is ¯ u(t) (Ljung, 1999; Pearson & Pottmann, 2000 ).”
• Identification of block-oriented nonlinear systems using orthonormal bases (2004, methodology): “One of the most frequently studied classes of nonlinear models are the so-called block-oriented nonlinear models [1,2], which consist of the interconnection of linear time invariant (LTI) systems and static (memoryless) nonlinearities.”