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IJCNN
2007
IEEE
14 years 4 months ago
System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks
— A single biological neuron is able to perform complex computations that are highly nonlinear in nature, adaptive, and superior to the perceptron model. A neuron is essentially ...
Manish Saggar, Tekin Meriçli, Sari Andoni, ...
ASE
2005
91views more  ASE 2005»
13 years 9 months ago
Deviation Analysis: A New Use of Model Checking
Inaccuracies, or deviations, in the measurements of monitored variables in a control system are facts of life that control software must accommodate. Deviation analysis can be used...
Mats Per Erik Heimdahl, Yunja Choi, Michael W. Wha...
NN
2002
Springer
208views Neural Networks» more  NN 2002»
13 years 9 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...
CDC
2010
IEEE
136views Control Systems» more  CDC 2010»
13 years 4 months ago
Geometric tracking control of a quadrotor UAV on SE(3)
This paper provides new results for the tracking control of a quadrotor unmanned aerial vehicle (UAV). The UAV has four input degrees of freedom, namely the magnitudes of the four ...
Taeyoung Lee, Melvin Leok, N. Harris McClamroch
CDC
2009
IEEE
124views Control Systems» more  CDC 2009»
13 years 11 months ago
Inverse modeling for open boundary conditions in channel network
Abstract-- An inverse modeling problem for systems governed by first-order, hyperbolic partial differential equations subject to periodic forcing is investigated. The problem is de...
Qingfang Wu, Mohammad Rafiee, Andrew Tinka, Alexan...