| 1 | /*! |
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| 2 | \mainpage Matlab toolbox using BDM library (BDMToolbox) |
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| 3 | |
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| 4 | \version 0.1 |
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| 5 | |
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| 6 | \author Vaclav Smidl |
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| 7 | |
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| 8 | BDMToolbox is a high-level front-end to low level C++ routines of BDM. |
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| 9 | |
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| 10 | It has three main categories of use cases: |
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| 11 | |
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| 12 | \section bdt_int_ready Standard scenarios |
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| 13 | Typical decision-making scenarios has been prepared as standalone functions, which can be configured using |
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| 14 | Matlab structures with definition of experimental conditions. \n |
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| 15 | These include: |
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| 16 | - simulation, as a trivial example, where data are generated by a chosen simulator (or any prepared DataSource) and stored in the required format, |
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| 17 | - estimation, same as the simulation scenario above extended by connection to an array of estimators, |
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| 18 | - feedback control, where the systems simulator (or real system) is connected to an array of controllers. |
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| 19 | - multiple-participant decision making, where autonomous agents operate in their environment. |
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| 20 | |
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| 21 | The purpose of this use case is to create a consistent experimental environment for rapid exploration of new data, |
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| 22 | new application domains, where different estimation and control algorithms can be quickly exchanges and mutually compared. |
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| 23 | |
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| 24 | See \ref bdt_scenarios for details. |
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| 25 | |
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| 26 | |
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| 27 | \section bdt_int_wrap Matlab interface to C++ algorithms |
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| 28 | |
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| 29 | Selected individual algorithms of the BDM toolbox are accessible via dedicated mex functions. |
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| 30 | These mex functions operate as follows: |
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| 31 | -# Matlab structures on their input is translated into C++ data structures |
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| 32 | -# run the required algorithm, |
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| 33 | -# the output is again converted to Matlab structures. |
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| 34 | |
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| 35 | The purpose of this use case is to allow composition of existing algorithms in a new arrangement. |
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| 36 | For example, it allows non-standard steps in the main loop, manipulation with configuration structures of scenarios, |
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| 37 | novel combination of conditionally independent filters, etc. |
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| 38 | |
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| 39 | See, \ref bdt_wrappers for details. |
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| 40 | |
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| 41 | \section bdt_int_class Matlab classes extending BDM classes |
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| 42 | |
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| 43 | These classes are pure Matlab classes and can be used without BDM. |
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| 44 | |
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| 45 | However, their main advantage is that BDM attach to these classes and use them via C++ classes (e.g. mexEpdf and mexBM). Hence, these classes can be used as building blocks in advances |
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| 46 | algorithms implemented in BDM. |
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| 47 | |
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| 48 | The purpose of this use case is to allow seamless integration of pure Matlab algorithm into the routines of BDM. |
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| 49 | |
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| 50 | See \ref bdt_mex_classes for details |
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| 51 | |
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| 52 | */ |
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