Results 31 to 40 of about 16,686,076 (335)
Grey-box model identification via evolutionary computing [PDF]
, 2002 This paper presents an evolutionary grey-box model identification methodology that makes the best use of a priori knowledge on a clear-box model with a global structural representation of the physical system under study, whilst incorporating accurate ...
Y. Li, Li, Y., K.C. Tan, Tan, K.C.
core +1 more source
A Sparse Bayesian Technique to Learn the Frequency-Domain Active Regressors in OFDM Wireless Systems
SensorsDigital predistortion and nonlinear behavioral modeling of power amplifiers (PA) have been the subject of intensive research in the time domain (TD), in contrast with the limited number of works conducted in the frequency domain (FD).
Carlos Crespo-Cadenas +4 more
doaj +1 more source
System Identification of a Nonlinear Multivariable Steam Generator Power Plant Using Time Delay and Wavelet Neural Networks [PDF]
Journal of Intelligent Procedures in Electrical Technology, 2013 One of the most effective strategies for steam generator efficiency enhancement is to improve the control system. For such an improvement, it is essential to have an accurate model for the steam generator of power plant.
Laila Khalilzadeh Ganjali-khani +2 more
doaj
Free-Decay Nonlinear System Identification via Mass-Change Scheme
Shock and Vibration, 2019 Methods for nonlinear system identification of structures generally require input-output measured data to estimate the nonlinear model, as a consequence of the noninvariance of the FRFs in nonlinear systems.
Dario Anastasio, Stefano Marchesiello
doaj +1 more source
Identification and predictive control of a multistage evaporator [PDF]
, 2010 A recurrent neural network-based nonlinear model predictive control (NMPC) scheme in parallel with PI control loops is developed for a simulation model of an industrial-scale five-stage evaporator.
Cao, Y. +14 more
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Automatika, 2022 The nonlinear rational model is a generalized nonlinear model and has been gradually applied in modelling many dynamic processes. The parameter identification of a class of nonlinear rational models is studied in this paper.
S. X. Jing, R. R. Liu, L. Chen
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Molecular Oncology, EarlyView.The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka +9 more
wiley +1 more source
Identification of Dynamical Models of Spatio-temporal Pattern Formation with Applications to Slime Mould [PDF]
, 2011 Spatio-temporal systems are non-linear dynamical systems which include both time and space information. Many natural phenomena and processes can be described by spatio-temporal models, such as pattern formation, chemical reactions and physical dynamics ...
Wang, Shu
core +6 more sources
Identification of a Nonlinear Wheel/Rail Adhesion Model for Heavy-Duty Locomotives
IEEE Access, 2018 The optimal wheel/rail adhesion of heavy-duty locomotives under traction must be determined given that suboptimal wheel/rail adhesion may result in low creep utilization, skidding, and idling.
Jing He +4 more
doaj +1 more source
Molecular Oncology, EarlyView.The proposed mechanism of action for the CDK12/13 inhibitor and cyclin K degrader, CT7439. CDK12/13 inhibition interrupts transcription elongation, leading to increased DNA damage that results in cell death. This agent is a potentially novel treatment option for patients with colorectal cancer. Created in BioRender. Cyclin‐dependent kinase (CDK) 12 and
Wylie K. Watlington +10 more
wiley +1 more source