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ICASSP
2011
IEEE
12 years 8 months ago
Efficient NLMS and RLS algorithms for a class of nonlinear filters using periodic input sequences
The paper discusses computationally efficient NLMS and RLS algorithms for a broad class of nonlinear filters using periodic input sequences. The class comprises all nonlinear ...
Alberto Carini, V. John Mathews, Giovanni L. Sicur...
SOCO
2002
Springer
13 years 4 months ago
A dynamically-constructed fuzzy neural controller for direct model reference adaptive control of multi-input-multi-output nonlin
Conventional industrial control systems are in majority based on the single-input-single-output design principle with linearized models of the processes. However, most industrial p...
Yakov Frayman, Lipo Wang
CCE
2004
13 years 5 months ago
Multimodel analysis and controller design for nonlinear processes
Multimodel analysis and controller design for nonlinear processes via gap metric is discussed. It is shown that the loop-shaping H approach can integrate the procedure of selectin...
Wen Tan, Horacio J. Marquez, Tongwen Chen, Ji-zhen...
DSS
2008
84views more  DSS 2008»
13 years 5 months ago
Human decision-making behavior and modeling effects
Previous research indicates that the human decision-making process is somewhat nonlinear and that nonlinear models would be more suitable than linear models for developing advance...
Choong Nyoung Kim, Kyung Hoon Yang, Jaekyung Kim
ESSMAC
2003
Springer
13 years 10 months ago
Nonlinear Predictive Control with a Gaussian Process Model
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
Jus Kocijan, Roderick Murray-Smith