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CIDM
2007
IEEE
14 years 3 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....
CDC
2010
IEEE
167views Control Systems» more  CDC 2010»
13 years 4 months ago
Numerical methods for the optimization of nonlinear stochastic delay systems, and an application to internet regulation
The Markov chain approximation method is an effective and widely used approach for computing optimal values and controls for stochastic systems. It was extended to nonlinear (and p...
Harold J. Kushner
CVPR
2006
IEEE
14 years 11 months ago
Dynamic Appearance Modeling for Human Tracking
Dynamic appearance is one of the most important cues for tracking and identifying moving people. However, direct modeling spatio-temporal variations of such appearance is often a ...
Hwasup Lim, Octavia I. Camps, Mario Sznaier, Vlad ...
NECO
2002
105views more  NECO 2002»
13 years 8 months ago
Multiple Model-Based Reinforcement Learning
We propose a modular reinforcement learning architecture for non-linear, nonstationary control tasks, which we call multiple model-based reinforcement learning (MMRL). The basic i...
Kenji Doya, Kazuyuki Samejima, Ken-ichi Katagiri, ...
ICRA
2002
IEEE
175views Robotics» more  ICRA 2002»
14 years 1 months ago
Flying Robots: Modeling, Control and Decision Making
This paper presents a flight rnanageiiient system (FhIS) iinpleniented as on-board intelligence for rotorcraft-based unmanned aerial vehicles (RUAVs), in order to gradually ilen a...
H. Jin Kim, David Hyunchul Shim, Shankar Sastry