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AUTOMATICA
2007
142views more  AUTOMATICA 2007»
13 years 8 months ago
Lyapunov-based switching control of nonlinear systems using high-gain observers
Abstract— We consider dynamic output feedback practical stabilization of uniformly observable nonlinear systems, based on high-gain observers with saturation. We assume that unce...
Leonid B. Freidovich, Hassan K. Khalil
ICCAD
2001
IEEE
111views Hardware» more  ICCAD 2001»
14 years 4 months ago
A Trajectory Piecewise-Linear Approach to Model Order Reduction and Fast Simulation of Nonlinear Circuits and Micromachined Devi
—In this paper, we present an approach to nonlinear model reduction based on representing a nonlinear system with a piecewise-linear system and then reducing each of the pieces w...
Michal Rewienski, Jacob White
ICANN
2009
Springer
14 years 13 days 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
AUTOMATICA
2008
51views more  AUTOMATICA 2008»
13 years 8 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
IROS
2008
IEEE
108views Robotics» more  IROS 2008»
14 years 2 months ago
A random set formulation for Bayesian SLAM
—This paper presents an alternative formulation for the Bayesian feature-based simultaneous localisation and mapping (SLAM) problem, using a random finite set approach. For a fe...
John Mullane, Ba-Ngu Vo, Martin David Adams, Wijer...