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Revision 1044, 1.1 kB
(checked in by smidl, 14 years ago)
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Tutorial moved to bdmtoolbox
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| 1 | /*! |
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| 2 | \page bdt_scenarios Basic Scenarios of BDMToolbox |
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| 3 | |
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| 4 | The basic elements of BDM are: |
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| 5 | -# probability density functions, (bdm::pdf), both conditional and unconditional |
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| 6 | -# functions, (bdm::fnc), of vector arguments |
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| 7 | -# Bayesian estimators (bdm::BM), providing variaous exact and approximate algorithms for Bayesian inference |
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| 8 | -# Data Sources (bdm::DS), providing access to various form of recursive data |
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| 9 | -# Controllers (bdm::Controller), generating control strategies, both feedback, or feedforward |
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| 10 | -# Loggers (bdm::logger), for storing results of experiments |
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| 11 | |
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| 12 | The objects are designed to allow mutual combination of these. Distinction of what needs to be connected where is provided by class RV which stands for random variable. |
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| 13 | |
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| 14 | Predefined scenarios implemented in mex are: |
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| 15 | |
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| 16 | - Simulation, see \ref simulator.cpp |
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| 17 | - Estimation, see \ref estimator.cpp |
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| 18 | - Controll Loop, see \ref controlloop.cpp |
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| 19 | - Multiple-Participant Decision-Making, see \ref arena.cpp |
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| 20 | |
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| 21 | For details of their use, see tutorials: |
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| 22 | - \ref userguide_pdf |
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| 23 | - \ref userguide_sim |
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| 24 | - \ref userguide_estim |
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| 25 | - \ref userguide_ctrl |
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| 26 | |
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| 27 | |
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| 28 | |
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| 29 | */ |
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