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» Symbolic models for control systems
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EUSFLAT
2003
108views Fuzzy Logic» more  EUSFLAT 2003»
13 years 10 months ago
Soft computing and control of district heating system
The article deals with the possible methodology of processing of data and information for the search of prediction of heat supply daily diagram (HSDD). The methodology includes te...
Petr Dostál, Bronislav Chramcov, Jaroslav B...
ROMAN
2007
IEEE
116views Robotics» more  ROMAN 2007»
14 years 3 months ago
Multi-Aspect Approach to Robotic Anticipation for Supporting Human's Multiple-Intelligence in Natural Scene
: A multi-aspect approach is applied to one-step anticipation for tightening human-robot interaction in naturally complex scene. Via symbolic massage exchange, human’s linguistic...
Kohji Kamejima
ITRUST
2005
Springer
14 years 2 months ago
Risk Models for Trust-Based Access Control(TBAC)
The importance of risk in trust-based systems is well established. This paper presents a novel model of risk and decision-making based on economic theory. Use of the model is illus...
Nathan Dimmock, Jean Bacon, David Ingram, Ken Mood...
LR
2011
107views more  LR 2011»
12 years 11 months ago
Modeling and stability analysis of autonomously controlled production networks
Abstract We present methods and tools for modeling autonomously controlled production networks and investigation of their stability properties. Production networks are described as...
Sergey Dashkovskiy, Michael Görges, Michael K...
CDC
2010
IEEE
167views Control Systems» more  CDC 2010»
13 years 4 months ago
Numerical methods for the optimization of nonlinear stochastic delay systems, and an application to internet regulation
The Markov chain approximation method is an effective and widely used approach for computing optimal values and controls for stochastic systems. It was extended to nonlinear (and p...
Harold J. Kushner