Sciweavers

160 search results - page 7 / 32
» Nonlinear hybrid system identification with kernel models
Sort
View
ICCAD
2003
IEEE
123views Hardware» more  ICCAD 2003»
15 years 6 months ago
A Hybrid Approach to Nonlinear Macromodel Generation for Time-Varying Analog Circuits
Modeling frequency-dependent nonlinear characteristics of complex analog blocks and subsystems is critical for enabling efficient verification of mixed-signal system designs. Rece...
Peng Li, Xin Li, Yang Xu, Lawrence T. Pileggi
ICASSP
2011
IEEE
14 years 1 months ago
Arccosine kernels: Acoustic modeling with infinite neural networks
Neural networks are a useful alternative to Gaussian mixture models for acoustic modeling; however, training multilayer networks involves a difficult, nonconvex optimization that...
Chih-Chieh Cheng, Brian Kingsbury
82
Voted
EH
2005
IEEE
158views Hardware» more  EH 2005»
15 years 3 months ago
Co-evolutionary Variance Can Guide Physical Testing in Evolutionary System Identification
Co-evolution of system models and system tests can be used for exploratory system identification of physical platforms. Here we demonstrate how the amount of physical testing can ...
Viktor Zykov, Josh C. Bongard, Hod Lipson
76
Voted
EAAI
2008
116views more  EAAI 2008»
14 years 9 months ago
Robust neuro-identification of nonlinear plants in electric power systems with missing sensor measurements
Fault tolerant measurements are an essential requirement for system identification, control and protection. Measurements can be corrupted or interrupted due to sensor failure, bro...
Wei Qiao, Zhi Gao, Ronald G. Harley, Ganesh K. Ven...
ICCV
2009
IEEE
16 years 2 months ago
Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems
We use concepts from chaos theory in order to model nonlinear dynamical systems that exhibit deterministic behavior. Observed time series from such a system can be embedded into...
Arslan Basharat, Mubarak Shah