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» Combining Simple Models to Approximate Complex Dynamics
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IJON
2002
154views more  IJON 2002»
14 years 9 months ago
Nonlinear model predictive control of a cutting process
Nonlinear model predictive control (MPC) of a simulated chaotic cutting process is presented. The nonlinear MPC combines a neural-network model and a genetic-algorithm-based optim...
Primoz Potocnik, Igor Grabec
CSE
2008
IEEE
15 years 4 months ago
3D Computer Simulations of Pulsatile Human Blood Flows in Vessels and in the Aortic Arch: Investigation of Non-Newtonian Charact
Methods of Computational Fluid Dynamics are applied to simulate pulsatile blood flow in human vessels and in the aortic arch. The non-Newtonian behaviour of the human blood is in...
Renat A. Sultanov, Dennis Guster, Brent Engelbrekt...
APIN
2008
305views more  APIN 2008»
14 years 10 months ago
A generalized model for financial time series representation and prediction
Abstract Traditional financial analysis systems utilize lowlevel price data as their analytical basis. For example, a decision-making system for stock predictions regards raw price...
Depei Bao
AVSS
2008
IEEE
15 years 4 months ago
Person Tracking with Audio-Visual Cues Using the Iterative Decoding Framework
Tracking humans in an indoor environment is an essential part of surveillance systems. Vision based and microphone array based trackers have been extensively researched in the pas...
Shankar T. Shivappa, Mohan M. Trivedi, Bhaskar D. ...
ESAW
2009
Springer
15 years 4 months ago
A Goal-Oriented Approach for Modelling Self-organising MAS
Autonomous software agents provide a promising solution to the needs of decentralised networked systems, able to adapt their behaviour in a complex and dynamically changing environ...
Mirko Morandini, Frédéric Migeon, Ma...