Results 81 to 90 of about 20,183,106 (289)
, 2004 The thesis considers methods for the identification of weakly nonlinear systems, met in mixed analog-digital systems for data-transmission. Depending on the available knowledge about the system to be identified different algorithms and model structures ...
Koeppl, H.
core
Parameter Identification of Weakly Nonlinear Vibration System in Frequency Domain
Shock and Vibration, 2004 A new method of identifying parameters of nonlinearly vibrating system in frequency domain is presented in this paper. The problems of parameter identification of the nonlinear dynamic system with nonlinear elastic force or nonlinear damping force are ...
Jiehua Peng, Jiashi Tang, Zili Chen
doaj +1 more source
Nonlinear System Identification of Neural Systems from Neurophysiological Signals. [PDF]
Neuroscience, 2021 He F, Yang Y.
europepmc +1 more source
Advanced Engineering Materials, EarlyView.A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
Neuro-Fuzzy Based Intelligent Approaches to Nonlinear System Identification and Forecasting [PDF]
, 2018 Nearly three decades back nonlinear system identification consisted of several ad-hoc approaches, which were restricted to a very limited class of systems.
Alshejari, A.
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Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Advanced Engineering Materials, EarlyView.Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +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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Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
Advanced Engineering Materials, EarlyView.An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
Nonlinear System Identification Based on Combined Signal Sources
, 2022 : Aiming at the interference of noise in the nonlinear system, the identification modeling method of the neuro-fuzzy Hammerstein output error nonlinear system is considered.
Gu, Ya +3 more
core +1 more source
Spectral Techniques for Nonlinear System Analysis and Identification
Shock and Vibration, 1993 This article reviews some recent and current research work with emphasis on new recommended spectral techniques that can analyze and identify the optimum linear and nonlinear system properties in a large class of single-input/single-output nonlinear ...
Julius S. Bendat
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