Search Results for "optimal control" - Page 2

Showing 46 open source projects for "optimal control"

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  • 1
    cantorbl

    cantorbl

    beamshot octave scripts and bike light driver

    Light intensity distribution (LID) of a lamp can be measured by taking wall/ceiling beamshots with a digital camera. The scripts process jpgs images (that have to be processed from raw data) and visualize the LID nicely. Driver: Linear, using AMC7135 and Atmel AVR ATtiny45, Li-Ion battery powered. The firmware provides convenient control - bikelight-specific. Below are firmware features
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  • 2
    Algorithm to perform optimal control for enzymatically catalyzed depolymerization of linear soluble biopolymers.
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  • 3
    WavePacket

    WavePacket

    Dynamics of quantum systems, controlled by external fields

    ... in photo-induced physics or chemistry, including quantum optimal control. With its visualization of quantum dynamics generated 'on the fly', WavePacket is suitable for teaching quantum mechanics as well as for research projects, see also the numerous demonstration examples . While the Matlab/Octave version is already in a mature state, the C++/Python version is still under construction. Using tensor train techniques, the additional WaveTrain package aims at beating the curse of dimensionality.
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  • 4
    RAPSim - Microgrid Simulator

    RAPSim - Microgrid Simulator

    An easy to use GUI enables electric source and grid simulation.

    RAPSim (Renewable Alternative Powersystems Simulation) is a free and open source micro-grid simulation framework for better understanding of power flowing behavior in smart microgrids with renewable sources. It is able to simulate grid-connected or standalone microgrids with solar, wind or other renewable energy sources. The proposed software calculates the power generated by each source in the microgrid and then it conducts a power flow analysis. This software is helpful for optimal placement...
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    Downloads: 4 This Week
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  • 5

    Template Code Set for JModelica

    This is a template Python code set to use JModelica easily.

    This is a template Python code set which makes it easy to use JModelica to solve optimal control problem. The template includes a sample model definition file (opt_definition.mop) and a .bat file (run_me.bat) to start its calculation. After download the template, immediately you can run JModelica by only double-clicking run_me.bat file, and obtain the optimization result. Please go to the page given below for the information of how to start to use this and its details.
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  • 6
    Optimal BPM

    Optimal BPM

    The beat of your business

    [See the files section for installation instructions] Optimal BPM™ is a project that aims to create an easy-to-use Business Process Management system (BPM) and tools. So far, only the tools, and only a data replication tool, Optimal Sync, has been released (available from the "files" page). But more is coming. It incorporates many different open source projects that relates to interoperability, transformation, context and process control. It has no business engine, instead...
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  • 7
    A C++ Package for Solving Multiple-Phase Optimal Control Problem Using Adaptive Radau Pseudospectral Methods
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  • 8

    Control-based bug fixing framework

    A unified framework for concurrency bug fixing

    The project has two purposes: (1) concurrency bug fixing (2) Modules enabling others to apply control theory to software analysis. For (1), it serves the purpose claimed in our research paper: fixing deadlocks/atomicity violations/ data races. It produces the bug fixes of optimal performance quality and avoids introducing new deadlocks in the program. Under the hood, it first models multithreaded program as the formal Petri net, models the bugs as vectors, and reduces the bug fixing...
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  • 9
    ACADO Toolkit

    ACADO Toolkit

    Toolkit for Automatic Control and Dynamic Optimization

    ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization. ACADO Toolkit is implemented as self-contained C++ code and comes along with user-friendly MATLAB interface. The object-oriented design allows for convenient coupling of existing optimization...
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  • 10

    UPPAAL PARMOS

    A tool for parametric model checking of UPPAAL models.

    UPPAAL PARMOS (UP) is a parameter sweep application built specifically for UPPAAL, with the ability to distribute parameter sweeps across multiple computing resources, such as large clusters or cloud computing resources. UP also provides the ability to direct the parameter sweep using multi-objective heuristic search algorithms to reach optimal or near optimal parameters faster. UP is expandable through the use of plug-ins, with regards to both types of computing resources and search...
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  • 11
    OptimalPrime is a MATLAB software for solving multiple-phase optimal control problems using pseudospectral methods. OptimalPrime is a research code for understanding key characteristics of pseudospectral methods that employ LG, LGR, & LGL points.
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  • 12
    PrimeBase XT (PBXT) is a pluggable, transactional storage engine for MySQL. It uses a unique "write-once", log-based update strategy and MVCC (multi-version concurrency control) to provide optimal performance over a wide range of tasks.
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  • 13
    libidp is a C library implementation of the iterative dynamic programming (IDP) optimal control algorithm, which solves the optimal control problem for ODE and DAE dynamic equation models. An example problem is included.
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  • 14
    hybopt is a set of libraries to solve the identification and optimal control problems for hybrid (mechanistic/empirical) dynamic (ODE and DAE) models.
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  • 15
    Konis is a graphical user interface for Optimal Task Control solver.
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  • 16
    Project targeted at calculating optimal control for 3 dimensional crane.
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  • 17

    EFFINET

    Real-time Monitoring & Control of Drinking Water Networks

    This project addresses three main management problems in urban water system: optimal operational control, real-time monitoring and demand forecasting/management. Real-time optimal control deals with operating the main flow and pressure actuators to meet demands using the most sustainable sources and minimizing electricity costs and is tackled using stochastic model predictive control techniques. Real-time monitoring of water quantity; and quality refers to the continuous detection and location...
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  • 18

    optragen

    Optimal Trajectory Generation Software for MATLAB

    This is a MATLAB toolbox that transforms optimal control problems into nonlinear programming problems, which can be solved using MATLAB or other solvers like SNOPT. The current version only interfaces with SNOPT. You will need MATLAB, along with symbolic and spline toolbox to run this code
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  • 19
    Distributions Networks Analyzer (DNA) is a tool for simulating (power flow) and analyzing electrical distribution networks. Users can easily implement and test their own power flow, optimal power flow and control algorithms.
    Downloads: 0 This Week
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  • 20

    Bear 100 Race Aid Station Application

    To be used for the Bear 100 Race: see http://www.bear100.com/

    Tracks runner's in/out time at each aid station. Saves data in CSV file. Can be configured for other races. AidStations.txt in repository contains the 15 or so Aid Stations used for the Bear100. The Bear100 is an annual 100 mile, 2 day race on foot through the Rocky Mountains in North America. Will communicate via serial over a 1200 baud AX.25 link to a ARES/Data backend (which we call NetControl). Can initialize some hardware TNCs with parameters optimal for ARES/Data topology. See ARES...
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  • 21
    Fleetbase

    Fleetbase

    Open source infrastructure and OS for logistics. A full end to end ope

    Fleetbase is a comprehensive, open-source platform for the management and orchestration of logistics and supply chain operations. This dual-natured platform serves not only as an efficient operational tool for companies within these industries but also as a robust foundational layer for developers. Its versatility emanates from its core, which is skillfully constructed around a series of "extensions," creating a flexible and customizable framework that accommodates a wide spectrum of supply...
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