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» On detectability of stochastic systems
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GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 8 months ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson
AUTOMATICA
2006
109views more  AUTOMATICA 2006»
15 years 1 months ago
Closed-loop subspace identification using the parity space
It is known that many subspace algorithms give biased estimates for closed-loop data due to the existence of feedback. In this paper we present a new subspace identification metho...
Jin Wang, S. Joe Qin
TSMC
2010
14 years 8 months ago
A Novel Colored Fluid Stochastic Petri Net Simulation Model for Reliability Evaluation of Wind/PV/Diesel Small Isolated Power Sy
This paper introduces a new general methodology for the modeling and reliability evaluation of small isolated power systems, which include wind turbines, photovoltaics, and diesel ...
Yiannis A. Katsigiannis, Pavlos S. Georgilakis, Ge...
ANOR
2006
58views more  ANOR 2006»
15 years 2 months ago
A management system for decompositions in stochastic programming
This paper presents two contributions: A set of routines that manipulate instances of stochastic programming problems in order to make them more amenable for different solution ap...
Robert Fourer, Leo Lopes
AMC
2007
116views more  AMC 2007»
15 years 2 months ago
Convergence of HLS estimation algorithms for multivariable ARX-like systems
A hierarchical least squares (HLS) algorithm is derived in details for identifying MIMO ARX-like systems based on the hierarchical identification principle. It is shown that the ...
Lingyun Wang, Feng Ding, Peter X. Liu