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Proceedings of the National Academy of Sciences of the United States of America, ISSN 0027-8424, 4/2016, Volume 113, Issue 15, pp. 3932 - 3937
Extracting governing equations from data is a central challenge in many diverse areas of science and engineering. Data are abundant whereas models often remain... 
Sparse regression | System identification | Dynamical systems | Optimization | Machine learning | dynamical systems | optimization | MULTIDISCIPLINARY SCIENCES | sparse regression | SIGNAL RECOVERY | machine learning | system identification | IMMERSED BOUNDARY METHOD | FLOW | Nonlinear theories | Research | Mathematical research | Mathematics - Dynamical Systems | Physical Sciences
Journal Article
AIAA JOURNAL, ISSN 0001-1452, 02/2020, Volume 58, Issue 2, pp. 561 - 574
Journal Article
Automatica, ISSN 0005-1098, 2011, Volume 47, Issue 4, pp. 668 - 677
The work presented in this paper is concerned with the identification of switched linear systems from input-output data. The main challenge with this problem... 
Sparse optimization | Switched linear systems | Hybrid systems | System identification | EQUATIONS | PIECEWISE AFFINE SYSTEMS | AUTOMATION & CONTROL SYSTEMS | ENGINEERING, ELECTRICAL & ELECTRONIC | Linear systems | Simulation | Communities | Mathematical analysis | Vectors (mathematics) | Compressed | Combinatorial analysis | Optimization | Engineering Sciences | Automatic
Journal Article
IEEE Transactions on Automatic Control, ISSN 0018-9286, 10/2014, Volume 59, Issue 10, pp. 2754 - 2759
Journal Article
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), ISSN 2329-9290, 04/2016, Volume 24, Issue 4, pp. 623 - 630
Journal Article
SIAM Journal on Scientific Computing, ISSN 1064-8275, 2018, Volume 40, Issue 5, pp. B1419 - B1443
Journal Article
Pattern Recognition, ISSN 0031-3203, 10/2015, Volume 48, Issue 10, pp. 3203 - 3215
Plant identification is required by all walks of life, from professionals to the general public. Nevertheless, it is not an easy job but requires specialized... 
Foliage image recognition | Plant identification | Sparse representation | Dictionary learning | Shape matching | LARGE UNDERDETERMINED SYSTEMS | EQUATIONS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Algorithms
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 03/2017, Volume 65, Issue 5, pp. 1146 - 1159
Journal Article
Mechanical Systems and Signal Processing, ISSN 0888-3270, 02/2019, Volume 117, pp. 813 - 842
•Method is applicable to systems with nonlinear elastic and inelastic behavior.•The method allows one to extract the force-displacement behavior with... 
Model selection | Negative stiffness device | Sparse regularization | Cross validation | Nonlinear structural system identification | Inelastic behavior | Hysteresis | NEGATIVE STIFFNESS | MODELS | KALMAN FILTER | ENGINEERING, MECHANICAL | Analysis | Methods | Green technology | Aerospace engineering
Journal Article
IEEE Transactions on Cybernetics, ISSN 2168-2267, 05/2016, Volume 46, Issue 5, pp. 1202 - 1216
Journal Article
IEEE Transactions on Automatic Control, ISSN 0018-9286, 01/2016, Volume 61, Issue 1, pp. 182 - 187
Journal Article
Digital Signal Processing, ISSN 1051-2004, 11/2017, Volume 70, pp. 24 - 29
ℓ1-RTLS has been successfully applied to the identification of a sparse system whose input and output are contaminated by noise (the error-in-variables... 
Sparse system identification | [formula omitted]-RTLS | Total least squares | Fast algorithm | RTLS
Journal Article
Journal of Process Control, ISSN 0959-1524, 09/2018, Volume 69, pp. 128 - 137
•For all existing methods, model order is obtained using statistical estimates which essentially solve identification problem at every predefined order.•We... 
Sparse optimization | Continuous time systems | Parameter estimation | System identification | ENGINEERING, CHEMICAL | MULTIPLE-INPUT SYSTEMS | PARAMETER-ESTIMATION | ALGORITHMS | AUTOMATION & CONTROL SYSTEMS | Monte Carlo method | Models | Algorithms
Journal Article
Computer Methods in Applied Mechanics and Engineering, ISSN 0045-7825, 05/2017, Volume 318, pp. 382 - 411
Bayesian system identification has attracted substantial interest in recent years for inferring structural models based on measured dynamic response from a... 
Hierarchical model | Damage assessment | IASE-ASCE Phase II benchmark | Gibbs sampling | Sparse Bayesian learning | Bayesian system identification | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | MECHANICS | ENGINEERING, MULTIDISCIPLINARY | SIGNALS | MODEL CLASS SELECTION | COMPUTATION | Algorithms
Journal Article
Journal of Process Control, ISSN 0959-1524, 07/2018, Volume 67, pp. 129 - 140
Recent demands from big data applications have strongly motivated a successful sparse formulation of the least squares support vector regression (LSSVR) model... 
Primal space | Sparse solutions | LSSVR model | Nonlinear system identification | Big data | Outlier-robust models | SISO/MIMO systems | ENGINEERING, CHEMICAL | MACHINES | KERNEL BASED REGRESSION | AUTOMATION & CONTROL SYSTEMS | SCHEMES | Usage | Models | Algorithms | Analysis
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 11/2015, Volume 26, Issue 11, pp. 2978 - 2983