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» Complex networks as control paradigm for complex systems
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APIN
2002
80views more  APIN 2002»
15 years 6 months ago
Searching a Scalable Approach to Cerebellar Based Control
Decades of research into the structure and function of the cerebellum have led to a clear understanding of many of its cells, as well as how learning might take place. Furthermore...
Jan Peters, P. Patrick van der Smagt
FAST
2009
15 years 4 months ago
Scalable Access Controls for Lineage
Lineage stores often contain sensitive information that needs protection from unauthorized access. We build on prior work for security and privacy of lineage information, focusing...
Arnon Rosenthal, Len Seligman, Adriane Chapman, Ba...
IJCNN
2006
IEEE
16 years 19 days ago
A Very Small Chaotic Neural Net
— Previously we have shown that chaos can arise in networks of physically realistic neurons [1], [2]. Those networks contain a moderate to large number of units connected in a sp...
Carlos Lourenco
ICCBR
2009
Springer
16 years 1 months ago
S-Learning: A Model-Free, Case-Based Algorithm for Robot Learning and Control
A model-free, case-based learning and control algorithm called S-learning is described as implemented in a simulation of a light-seeking mobile robot. S-learning demonstrated learn...
Brandon Rohrer
CEC
2008
IEEE
16 years 1 months ago
Real-time evolution of an embedded controller for an autonomous helicopter
— In this paper we evolve the parameters of a proportional, integral, and derivative (PID) controller for an unstable, complex and nonlinear system. The individuals of the applie...
Benjamin N. Passow, Mario A. Góngora, S. Co...