MIMO frequency domain system identification using matrix-valued orthonormal functions
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
MIMO frequency domain system identification using matrix-valued orthonormal functions
Authors
Keywords
MIMO systems, Blaschke–Potapov factor, Adaptive orthonormal functions, Maximal selection principle, right Hilbert module
Journal
AUTOMATICA
Volume 133, Issue -, Pages 109882
Publisher
Elsevier BV
Online
2021-08-31
DOI
10.1016/j.automatica.2021.109882
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Reproducing kernel approximation in weighted Bergman spaces: Algorithm and applications
- (2019) Wei Qu et al. MATHEMATICAL METHODS IN THE APPLIED SCIENCES
- Numerical stability of circular Hilbert transform and its application to signal decomposition
- (2019) Xiaoyun Sun et al. APPLIED MATHEMATICS AND COMPUTATION
- Two-Dimensional Frequency-Domain System Identification
- (2019) Xiaoyin Wang et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- Rational Approximation in a Class of Weighted Hardy Spaces
- (2018) Wei Qu et al. Complex Analysis and Operator Theory
- Adaptive orthonormal systems for matrix-valued functions
- (2017) Daniel Alpay et al. PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY
- On model reduction with consecutively selected rational basis
- (2016) Minggang Fei et al. International Journal of Wavelets Multiresolution and Information Processing
- Hardy space decomposition of on the unit circle:
- (2016) Hai-Chou Li et al. Complex Variables and Elliptic Equations
- System identification by discrete rational atoms
- (2015) Qiuhui Chen et al. AUTOMATICA
- Sparse representation in Szegő kernels through reproducing kernel Hilbert space theory with applications
- (2015) Y. Mo et al. International Journal of Wavelets Multiresolution and Information Processing
- Basis pursuit for frequency-domain identification
- (2015) Wen Mi et al. MATHEMATICAL METHODS IN THE APPLIED SCIENCES
- On backward shift algorithm for estimating poles of systems
- (2014) Wen Mi et al. AUTOMATICA
- REMARKS ON ADAPTIVE FOURIER DECOMPOSITION
- (2013) TAO QIAN et al. International Journal of Wavelets Multiresolution and Information Processing
- Frequency-domain identification: An algorithm based on an adaptive rational orthogonal system
- (2012) Wen Mi et al. AUTOMATICA
- Algorithm of Adaptive Fourier Decomposition
- (2011) Tao Qian et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- A fast adaptive model reduction method based on Takenaka–Malmquist systems
- (2011) Wen Mi et al. SYSTEMS & CONTROL LETTERS
- Adaptive Fourier series—a variation of greedy algorithm
- (2010) Tao Qian et al. ADVANCES IN COMPUTATIONAL MATHEMATICS
- Multi-innovation stochastic gradient algorithm for multiple-input single-output systems using the auxiliary model
- (2009) Yanjun Liu et al. APPLIED MATHEMATICS AND COMPUTATION
- Intrinsic mono-component decomposition of functions: An advance of Fourier theory
- (2009) Tao Qian MATHEMATICAL METHODS IN THE APPLIED SCIENCES
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started