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» Modeling Sensorimotor Learning with Linear Dynamical Systems
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TOG
2008
106views more  TOG 2008»
13 years 7 months ago
Real-time control of physically based simulations using gentle forces
Recent advances have brought real-time physically based simulation within reach, but simulations are still difficult to control in real time. We present interactive simulations of...
Jernej Barbic, Jovan Popovic
TMI
2011
182views more  TMI 2011»
13 years 2 months ago
Active Volume Models for Medical Image Segmentation
—In this paper, we propose a novel predictive model, active volume model (AVM), for object boundary extraction. It is a dynamic “object” model whose manifestation includes a ...
Tian Shen, Hongsheng Li, Xiaolei Huang
IJCNN
2007
IEEE
14 years 2 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
WSC
2000
13 years 9 months ago
Tire model for simulations of vehicle motion on high and low friction road surfaces
An on-road analytical tire model has been developed to predict tire forces and moments at the tire/road interface. The model is computationally efficient and it only requires a li...
James Lacombe
IJIT
2004
13 years 9 months ago
Design of Gain Scheduled Fuzzy PID Controller
An adaptive fuzzy PID controller with gain scheduling is proposed in this paper. The structure of the proposed gain scheduled fuzzy PID (GS_FPID) controller consists of both fuzzy ...
Leehter Yao, Chin-chin Lin