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JMLR
2010
103views more  JMLR 2010»
13 years 2 months ago
Learning Nonlinear Dynamic Models from Non-sequenced Data
Virtually all methods of learning dynamic systems from data start from the same basic assumption: the learning algorithm will be given a sequence of data generated from the dynami...
Tzu-Kuo Huang, Le Song, Jeff Schneider
GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
14 years 1 months ago
An online implementable differential evolution tuned optimal guidance law
This paper proposes a novel application of differential evolution to solve a difficult dynamic optimisation or optimal control problem. The miss distance in a missile-target engag...
Raghunathan Thangavelu, S. Pradeep
HAPTICS
2010
IEEE
13 years 6 months ago
Force-Based Calibration of a Particle System for Realistic Simulation of Nonlinear and Viscoelastic Soft Tissue Behavior
We present a new approach for realistic visio-haptic simulation of nonlinear and viscoelastic behavior of an organ tissue using a particle model. The spring and damper coefficients...
Bektas Baybora Baran, Cagatay Basdogan
HYBRID
2009
Springer
14 years 2 months ago
Optimal Boundary Control of Convention-Reaction Transport Systems with Binary Control Functions
We investigate a new approach for solving boundary control problems for dynamical systems that are governed by transport equations, when the control function is restricted to binar...
Falk M. Hante, Günter Leugering
DIGRA
2005
Springer
14 years 1 months ago
Growing Complex Games
Do computer simulation games display emergent behavior? Are they models of complex systems or ‘life’ systems? This paper aims to explore and investigate how games studies can ...
Nicholas Glean