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International Journal of Secondary Metabolite, 2017 This work was performed to determine the biochemical composition, antioxidant and antimicrobial activities of leaf extracts collected from four different provenances: Mahdia and Mahres (Ziziphus jujuba); Kairouan and Rouhia (Ziziphus lotus).
Meriem Elaloui +7 more
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Vehicular Applications of Koopman Operator Theory—A Survey
IEEE Access, 2023 Koopman operator theory has proven to be a promising approach to nonlinear system identification and global linearization. For nearly a century, there had been no efficient means of calculating the Koopman operator for applied engineering purposes.
Waqas A. Manzoor +2 more
doaj +1 more source
On-line Bayesian system identification [PDF]
2016 European Control Conference (ECC), 2016 We consider an on-line system identification setting, in which new data become available at given time steps. In order to meet real-time estimation requirements, we propose a tailored Bayesian system identification procedure, in which the hyper-parameters are still updated through Marginal Likelihood maximization, but after only one iteration of a ...
ROMERES, DIEGO +3 more
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On Identification of Cascade Systems
IFAC Proceedings Volumes, 2008 The objective of this contribution is to discuss some aspects of system identification of cascade systems. Models of such systems are important in for example cascade control applications.
Wahlberg, Bo +2 more
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Identification of Hybrid Systems A Tutorial [PDF]
European Journal of Control, 2007 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Simone Paoletti +3 more
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, 2012 A covariance matching method for continuous-time errors-in-variables system identification from discrete-time data is analyzed. The asymptotic normalized covariance matrix, valid for a large number of data and a small sampling interval, is evaluated ...
Irshad, Yasir +7 more
core +1 more source
Distributed system identification with ADMM [PDF]
53rd IEEE Conference on Decision and Control, 2014 This paper presents identification of both network connected systems as well as distributed systems governed by PDEs in the framework of distributed optimization via the Alternating Direction Method of Multipliers. This approach opens first the possibility to identify distributed models in a global manner using all available data sequences and second ...
Hansson, A., Verhaegen, M.
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Uncertainty in Identification Systems
2018 IEEE International Symposium on Information Theory (ISIT), 2018 We study the high-dimensional identification systems under the presence of statistical uncertainties. The task is to design mappings for enrollment and identification purposes. The identification mapping compresses users' information then stores the index in the corresponding position in a database.
Minh Thanh Vu +3 more
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The social system identification problem [PDF]
2015 54th IEEE Conference on Decision and Control (CDC), 2015 The focus of this paper is modeling what we call a Social Radar, i.e. a method to estimate the relative influence between social agents, by sampling their opinions and as they evolve, after injecting in the network stubborn agents. The stubborn agents opinion is not influenced by the peers they seek to sway, and their opinion bias is the known input to
Hoi-To Wai, Anna Scaglione, Amir Leshem
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On the smoothness of nonlinear system identification [PDF]
Automatica, 2020 We shed new light on the \textit{smoothness} of optimization problems arising in prediction error parameter estimation of linear and nonlinear systems. We show that for regions of the parameter space where the model is not contractive, the Lipschitz constant and $β$-smoothness of the objective function might blow up exponentially with the simulation ...
Antônio H. Ribeiro +4 more
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