A nonlinear dynamic control system is defined by a set of equations that include a state vector and one or more control inputs. Via a machine learning method, a sub-optimal controller is derived that stabilizes the nonlinear dynamic control system at an equilibrium point. The sub-optimal controller is retrained to be used as a stabilizing controller for the nonlinear dynamic control system under general operating conditions.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    DYNAMIC SYSTEM CONTROL USING DEEP MACHINE LEARNING


    Beteiligte:

    Erscheinungsdatum :

    28.04.2022


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen / B64C AEROPLANES , Flugzeuge / G05B Steuer- oder Regelsysteme allgemein , CONTROL OR REGULATING SYSTEMS IN GENERAL



    Highway Work Zone Dynamic Traffic Control Using Machine Learning

    Jacob, C. / Abdulhai, B. / Hadayeghi, A. et al. | IEEE | 2006


    Dynamic Route Optimization Using Machine Learning

    Zare, Aisha / Elsersy, Mohamed / Al-Gindy, Ahmed et al. | Springer Verlag | 2025


    IMAGE BASED SPEED CONTROL SYSTEM USING DEEP LEARNING

    Europäisches Patentamt | 2022

    Freier Zugriff

    IMAGE BASED SPEED CONTROL SYSTEM USING DEEP LEARNING

    KWON JANGWOO | Europäisches Patentamt | 2022

    Freier Zugriff

    Machine learning and deep learning

    Janiesch, Christian / Zschech, Patrick / Heinrich, Kai | Online Contents | 2021

    Freier Zugriff