Results 31 to 40 of about 2,621,724 (318)
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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Identification of Block-oriented Systems Using the Invariance Property [PDF]
, 2010 Block-oriented Nonlinear System Identification deals with an area of research that has been very active since the turn of the millennium. The book makes a pedagogical and cohesive presentation of the methods developed in that time.
Martin Enqvist, Enqvist, Martin,
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Maximum Likelihood identification of Wiener-Hammerstein system with process noise [PDF]
, 2018 The Wiener-Hammerstein model is a block-oriented model consisting of two linear blocks and a static nonlinearity in the middle. We address the identification problem of this model, when a disturbance affects the input of the non-linearity, i.e.
Giordano, Giuseppe +3 more
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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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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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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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DO-based dynamic neural network identification and anti-disturbance control with asymmetrical dead-zone constraints [PDF]
, 2015 This paper is concerned with the problem of neural network identification and anti-disturbance control of a class of complex nonlinear systems with unknown exogenous disturbances and asymmetrical dead-zone constraints.
Yi, Yang, Zheng, Wei Xing (R8901)
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Sequential Monte Carlo Methods for System Identification [PDF]
, 2015 One of the key challenges in identifying nonlinear and possibly non-Gaussian state space models (SSMs) is the intractability of estimating the system state.
Schön, Thomas Bo +19 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source