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133
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ACIIDS
2009
IEEE
159views Database» more  ACIIDS 2009»
15 years 12 days ago
Application to GA-Based Fuzzy Control for Nonlinear Systems with Uncertainty
In this study, we strive to combine the advantages of fuzzy theory, genetic algorithms (GA), H tracking control schemes, smooth control and adaptive laws to design an adaptive fuzz...
Po-Chen Chen, Ken Yeh, Cheng-Wu Chen, Chen-Yuan Ch...
NECO
2010
103views more  NECO 2010»
15 years 29 days ago
Posterior Weighted Reinforcement Learning with State Uncertainty
Reinforcement learning models generally assume that a stimulus is presented that allows a learner to unambiguously identify the state of nature, and the reward received is drawn f...
Tobias Larsen, David S. Leslie, Edmund J. Collins,...
122
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NIPS
1996
15 years 3 months ago
Exploiting Model Uncertainty Estimates for Safe Dynamic Control Learning
Model learning combined with dynamic programming has been shown to be e ective for learning control of continuous state dynamic systems. The simplest method assumes the learned mod...
Jeff G. Schneider
ICAISC
2004
Springer
15 years 8 months ago
Semi-mechanistic Models for State-Estimation - Soft Sensor for Polymer Melt Index Prediction
Nonlinear state estimation is a useful approach to the monitoring of industrial (polymerization) processes. This paper investigates how this approach can be followed to the develop...
Balazs Feil, János Abonyi, Peter Pach, Sand...
105
Voted
ISBI
2008
IEEE
16 years 3 months ago
Estimation of cortical multivariate autoregressive models for EEG/MEG using an expectation-maximization algorithm
A new method for estimating multivariate autoregressive (MVAR) models of cortical connectivity from surface EEG or MEG measurements is presented. Conventional approaches to this p...
Bing Leung, Patrick Cheung, Barry D. Van Veen