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TSMC
1998
135views more  TSMC 1998»
13 years 8 months ago
Universal stabilization using control Lyapunov functions, adaptive derivative feedback, and neural network approximators
— In this paper, the problem of stabilization of unknown nonlinear dynamical systems is considered. An adaptive feedback law is constructed that is based on the switching adaptiv...
Elias B. Kosmatopoulos
ISMB
1998
13 years 10 months ago
A Hidden Markov Model for Predicting Transmembrane Helices in Protein Sequences
A novel method to model and predict the location and orientation of alpha helices in membrane- spanning proteins is presented. It is based on a hidden Markov model (HMM) with an a...
Erik L. L. Sonnhammer, Gunnar von Heijne, Anders K...
VTC
2008
IEEE
113views Communications» more  VTC 2008»
14 years 3 months ago
Non-Linear UWB Receivers with MLSE Post-Detection
— A wireless body area network with an average throughput of 500 kbps is considered based on ultra-wideband (UWB) pulse position modulation. For a long battery autonomy ultra low...
Florian Troesch, Thomas Zasowski, Armin Wittneben
UAI
2004
13 years 10 months ago
Dynamical Systems Trees
We propose dynamical systems trees (DSTs) as a flexible model for describing multiple processes that interact via a hierarchy of aggregating processes. DSTs extend nonlinear dynam...
Andrew Howard, Tony Jebara
ICANN
2009
Springer
14 years 1 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