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EUSFLAT
2009
184views Fuzzy Logic» more  EUSFLAT 2009»
15 years 2 months ago
Recurrent Neural Kalman Filter Identification and Indirect Adaptive Control of a Continuous Stirred Tank Bioprocess
The aim of this paper is to propose a new Kalman Filter Recurrent Neural Network (KFRNN) topology and a recursive Levenberg-Marquardt (L-M) algorithm of its learning capable to est...
Ieroham S. Baruch, Carlos Román Mariaca Gas...
ATAL
2008
Springer
15 years 6 months ago
Sigma point policy iteration
In reinforcement learning, least-squares temporal difference methods (e.g., LSTD and LSPI) are effective, data-efficient techniques for policy evaluation and control with linear v...
Michael H. Bowling, Alborz Geramifard, David Winga...
NIPS
2001
15 years 6 months ago
Model-Free Least-Squares Policy Iteration
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
Michail G. Lagoudakis, Ronald Parr
EUSFLAT
2009
169views Fuzzy Logic» more  EUSFLAT 2009»
15 years 2 months ago
Decentralized Adaptive Fuzzy-Neural Control of an Anaerobic Digestion Bioprocess Plant
The paper proposed to use recurrent Fuzzy-Neural Multi-Model (FNMM) identifier for decentralized identification of a distributed parameter anaerobic wastewater treatment digestion ...
Ieroham S. Baruch, Rosalba Galvan-Guerra
161
Voted
CDC
2008
IEEE
171views Control Systems» more  CDC 2008»
15 years 11 months ago
Constrained optimal control theory for differential linear repetitive processes
Abstract. Differential repetitive processes are a distinct class of continuous-discrete twodimensional linear systems of both systems theoretic and applications interest. These pr...
Michael Dymkov, Eric Rogers, Siarhei Dymkou, Krzys...