Sökning: "mathematical modeling languages"

Visar resultat 1 - 5 av 15 avhandlingar innehållade orden mathematical modeling languages.

  1. 1. PDEModelica – A High-Level Language for Modeling with Partial Differential Equations

    Författare :Levon Saldamli; Peter Fritzson; Bernhard Bachmann; Francesco di Casella; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; mathematical modeling; PDEModelica; Modelica; object-oriented modeling; equation-based modeling; declarative modeling; high-level modeling languages; mathematical modeling languages; Computer science; Datavetenskap;

    Sammanfattning : This thesis describes work on a new high-level mathematical modeling language and framework called PDEModelica for modeling with partial differential equations. It is an extension to the current Modelica modeling language for object-oriented, equation-based modeling based on differential and algebraic equations. LÄS MER

  3. 2. Meta-Languages and Semantics for Equation-Based Modeling and Simulation

    Författare :David Broman; Peter Fritzson; Jeremy Siek; Thomas Schön; Björn Lisper; Walid Taha; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Meta-language; semantics; EOO; Modelica; equations; modeling; simulation; MKL; Computer science; Datalogi;

    Sammanfattning : Performing computational experiments on mathematical models instead of building and testing physical prototypes can drastically reduce the develop cost for complex systems such as automobiles, aircraft, and powerplants. In the past three decades, a new category of equation-based modeling languages has appeared that is based on acausal and object-oriented modeling principles, enabling good reuse of models. LÄS MER

  4. 3. ForSyDe-Atom: Design of Heterogeneous Embedded Systems : Taming Complexity with Layers, Atoms and Patterns

    Författare :George Ungureanu; Ingo Sander; Reinhard von Hanxleden; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; system design languages; modeling; simulation; synthesis; embedded systems; cyber-physical systems; domain specific languages; systemdesignspråk; modellering; simulering; syntes; inbyggda system; cyberfysiska system; domänspecifika språk; Informations- och kommunikationsteknik; Information and Communication Technology;

    Sammanfattning : The design of embedded systems is inherently complex for two main reasons. Firstly, it entails the combined knowledge and results from a vast set of mature, well-established, yet separate disciplines, such as electrical engineering, computer science, mechanical engineering, etc. LÄS MER

  5. 4. SEMANTIC INFORMATION AND PHYSICAL MULTI-DOMAIN MODELING AND SIMULATION FOR POWER SYSTEMS

    Författare :Francisco José Gómez; Luigi Vanfretti; Svein Olsen; Peter Palensky; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; POWER SYSTEMS; MODELING; SIMULATION; CIM; MODELICA; ISO 15926; MULTI-DOMAIN; UML; SYSML; Energy Technology; Energiteknik;

    Sammanfattning : There are different reasons for combining different modeling languages and simulationlanguages: Exchange of more detailed information about power network components, theirparameters and, most importantly, mathematical equations describing their behavior andthe exchange of a mathematical description, using equation-based languages (e.g. LÄS MER

  7. 5. On Model Libraries for Thermo-hydraulic Applications

    Författare :Jonas Eborn; Institutionen för reglerteknik; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; modeling; simulation; Matematik; Automation; Termisk teknik; control systems; nonlinear models; parameter estimation; proces s control; thermo-hydraulic systems; model validation; Thermal engineering; applied thermodynamics; termodynamik; Automatiska system; robotics; control engineering; reglerteknik; robotteknik; Mathematics; object-oriented;

    Sammanfattning : Mathematical modelling and simulation are important tools when dealing with engineering systems that today are becoming increasingly more complex. Tightly integrated production and process optimization are trends that give rise to heterogeneous systems, which are difficult to handle without expertise in several engineering disciplines. LÄS MER