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» Estimation of general nonlinear state-space systems
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AUTOMATICA
2008
51views more  AUTOMATICA 2008»
13 years 5 months ago
New method for identifying finite degree Volterra series
In this paper, the identification of a class of nonlinear systems which admits input-output maps described by a finite degree Volterra series is considered. In actual fact, it app...
Wael Suleiman, André Monin
CDC
2009
IEEE
185views Control Systems» more  CDC 2009»
13 years 10 months ago
Discrete Empirical Interpolation for nonlinear model reduction
A dimension reduction method called Discrete Empirical Interpolation (DEIM) is proposed and shown to dramatically reduce the computational complexity of the popular Proper Orthogo...
Saifon Chaturantabut, Danny C. Sorensen
SCL
2008
113views more  SCL 2008»
13 years 5 months ago
Modular design of nonlinear observers for state and disturbance estimation
This work studies the problem of design of nonlinear observers in the presence of exogenous disturbances. In particular, the present work proposes a systematic design method for no...
Costas Kravaris, Georgios Savoglidis
ICANN
2009
Springer
13 years 10 months ago
An EM Based Training Algorithm for Recurrent Neural Networks
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Jan Unkelbach, Yi Sun, Jürgen Schmidhuber
IJCAI
2003
13 years 7 months ago
Variable Resolution Particle Filter
Particle filters are used extensively for tracking the state of non-linear dynamic systems. This paper presents a new particle filter that maintains samples in the state space a...
Vandi Verma, Sebastian Thrun, Reid G. Simmons