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» Analysis and modeling of control tasks in dynamic systems
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NN
2007
Springer
162views Neural Networks» more  NN 2007»
15 years 6 months ago
Learning grammatical structure with Echo State Networks
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
Matthew H. Tong, Adam D. Bickett, Eric M. Christia...
CDC
2008
IEEE
132views Control Systems» more  CDC 2008»
16 years 1 months ago
A distributed auction algorithm for the assignment problem
— The assignment problem constitutes one of the fundamental problems in the context of linear programming. Besides its theoretical significance, its frequent appearance in the a...
Michael M. Zavlanos, Leonid Spesivtsev, George J. ...
ICMLA
2004
15 years 8 months ago
Planning with predictive state representations
Predictive state representation (PSR) models for controlled dynamical systems have recently been proposed as an alternative to traditional models such as partially observable Mark...
Michael R. James, Satinder P. Singh, Michael L. Li...
IJON
2000
48views more  IJON 2000»
15 years 6 months ago
Rethinking central pattern generators: A general approach
Central pattern generators (CPGs) have traditionally been modeled as sets of coupled bistable oscillators [2]. We present a framework for constructing models which avoid the short...
Chris Eliasmith, Charles H. Anderson
137
Voted
COOPIS
2002
IEEE
15 years 11 months ago
A Filter Object Framework for MICO
Abstract. Filtered delivery model of message passing in an objectoriented distributed computing environment facilitates separation of message control from message processing in a t...
Pranav S. Nabar, Amit L. Padalkar, Rushikesh K. Jo...