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» Nonlinear dynamics modelling for controller evolution
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NECO
2002
105views more  NECO 2002»
13 years 7 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, ...
BMCBI
2007
172views more  BMCBI 2007»
13 years 7 months ago
Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks
Background: Reverse engineering cellular networks is currently one of the most challenging problems in systems biology. Dynamic Bayesian networks (DBNs) seem to be particularly su...
Fulvia Ferrazzi, Paola Sebastiani, Marco Ramoni, R...
CDC
2008
IEEE
14 years 2 months ago
Equivalence between Approximate Dynamic Inversion and Proportional-Integral control
—Approximate Dynamic Inversion (ADI) has been established as a method to control minimum-phase, nonaffine-incontrol systems. Previous results have shown that for single-input no...
Justin Teo, Jonathan P. How
SIAMAM
2010
117views more  SIAMAM 2010»
13 years 6 months ago
Dynamics of Three-Dimensional Gravity-Capillary Solitary Waves in Deep Water
A model equation for gravity-capillary waves in deep water is proposed. This model is a quadratic approximation of the deep water potential flow equations, and has wavepacket-type...
Benjamin Akers, Paul A. Milewski
IJCNN
2000
IEEE
14 years 2 days ago
Predictive Multiple Model Switching Control with the Self-Organizing Map
—A predictive, multiple model control strategy is developed by extension of self-organizing map (SOM) local dynamic modeling of nonlinear autonomous systems to a control framewor...
Mark A. Motter