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AIPS
2000
13 years 9 months ago
Probabilistic Hybrid Action Models for Predicting Concurrent Percept-Driven Robot Behavior
This paper develops Probabilistic Hybrid Action Models (PHAMs), a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans. PHA...
Michael Beetz, Henrik Grosskreutz
ASC
2007
13 years 8 months ago
An approximate stability analysis of nonlinear systems described by Universal Learning Networks
Stability is one of the most important subjects in control systems. As for the stability of nonlinear dynamical systems, Lyapunov’s direct method and linearized stability analys...
Kotaro Hirasawa, Shingo Mabu, Shinji Eto, Jinglu H...
CSDA
2008
117views more  CSDA 2008»
13 years 8 months ago
Parametric and nonparametric Bayesian model specification: A case study involving models for count data
In this paper we present the results of a simulation study to explore the ability of Bayesian parametric and nonparametric models to provide an adequate fit to count data, of the t...
Milovan Krnjajic, Athanasios Kottas, David Draper
AEI
2005
102views more  AEI 2005»
13 years 7 months ago
Manufacturing planning and predictive process model integration using software agents
Intelligent agents provide a means to integrate various manufacturing software applications. The agents are typically executed in a computer-based collaborative environment, refer...
Shaw C. Feng, Keith A. Stouffer, Kevin K. Jurrens
IJSYSC
2000
67views more  IJSYSC 2000»
13 years 7 months ago
Incorporating prior knowledge in fuzzy model identification
This paper presents an algorithm for incorporating a priori knowledge into data-driven identification of dynamic fuzzy models of the Takagi-Sugeno type. Knowledge about the modell...
János Abonyi, Robert Babuska, Henk B. Verbr...