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» An NP-Hardness Result for Nonlinear Systems
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JCNS
1998
134views more  JCNS 1998»
13 years 7 months ago
Analytical and Simulation Results for Stochastic Fitzhugh-Nagumo Neurons and Neural Networks
An analytical approach is presented for determining the response of a neuron or of the activity in a network of connected neurons, represented by systems of nonlinear ordinary stoc...
Henry C. Tuckwell, Roger Rodriguez
ICRA
2003
IEEE
114views Robotics» more  ICRA 2003»
14 years 26 days ago
Robotic catching using a direct mapping from visual information to motor command
— In this paper a robotic catching algorithm based on a nonlinear mapping of visual information to the desired trajectory is proposed. The nonlinear mapping is optimized by learn...
Akio Namiki, Masatoshi Ishikawa
CDC
2009
IEEE
144views Control Systems» more  CDC 2009»
14 years 9 days ago
Stability of quantized time-delay nonlinear systems: A Lyapunov-Krasowskii-functional approach
Lyapunov-Krasowskii functionals are used to design quantized continuous-time control laws for nonlinear systems in the presence of time-invariant pointwise delays in the input. Th...
Claudio De Persis, Frédéric Mazenc
ICARCV
2008
IEEE
193views Robotics» more  ICARCV 2008»
14 years 2 months ago
Analysis of discrete and hybrid stochastic systems by nonlinear contraction theory
—We investigate the stability properties of discrete and hybrid stochastic nonlinear dynamical systems. More precisely, we extend the stochastic contraction theorems (which were ...
Quang-Cuong Pham
CIDM
2007
IEEE
14 years 1 months ago
Application of Neural Networks for Data Modeling of Power Systems with Time Varying Nonlinear Loads
— Nowadays power distribution systems typically operate with nonsinusoidal voltages and currents. Harmonic currents from nonlinear loads propagate through the system and cause ha...
Joy Mazumdar, Ganesh K. Venayagamoorthy, Ronald G....