Search Results - "Ay, Muzaffer"

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  1. 1

    Review on model predictive control: an engineering perspective by Schwenzer, Max, Ay, Muzaffer, Bergs, Thomas, Abel, Dirk

    “…Model-based predictive control (MPC) describes a set of advanced control methods, which make use of a process model to predict the future behavior of the…”
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    Journal Article
  2. 2

    Model predictive force control in milling based on an ensemble Kalman filter by Schwenzer, Max, Stemmler, Sebastian, Ay, Muzaffer, Rüppel, Adrian Karl, Bergs, Thomas, Abel, Dirk

    Published in Journal of intelligent manufacturing (01-10-2022)
    “…Process force determines productivity, quality, and safety in milling. Current approaches of process design often focus on a priori optimization. In order to…”
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    Journal Article
  3. 3

    Robust Parametrization of a Model Predictive Controller for a CNC Machining Center Using Bayesian Optimization by Stenger, David, Ay, Muzaffer, Abel, Dirk

    Published 14-10-2020
    “…Control algorithms such as model predictive control (MPC) and state estimators rely on a number of different parameters. The performance of the closed loop…”
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    Journal Article
  4. 4

    Recurrent Online and Transfer Learning of a CNC-Machining Center with Support Vector Machines by Ay, Muzaffer, Schwenzer, Max, Abell, Dirk, Bergs, Thomas

    “…Data-driven learning methods represent a promising field of research to complement classical approaches in the area of control theory. Within the German…”
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    Conference Proceeding
  5. 5

    Model-based Predictive Force Control in Milling by Stemmler, Sebastian, Ay, Muzaffer, Schwenzer, Max, Abel, Dirk, Bergs, Thomas

    “…Milling is a manufacturing process for machining metals, where a milling tool cuts metal from a workpiece. Especially during rough milling the productivity is…”
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    Conference Proceeding
  6. 6

    System Identification of a CNC Machining Center with Support Vector Machines by Ay, Muzaffer, Stemmler, Sebastian, Abel, Dirk, Schwenzer, Max, Klocke, Fritz

    “…Support Vector Machines (SVM) is a machine learning algorithm with inherent generalization ability and a convex optimization problem. This paper studies the…”
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    Conference Proceeding
  7. 7

    Cross-phase Model-based Predictive Cavity Pressure Control in Injection Molding by Stemmler, Sebastian, Ay, Muzaffer, Vukovic, Marko, Abel, Dirk, Heinisch, Julian, Hopmann, Christian

    “…The injection molding of thermoplastics is one of the most efficient manufacturing processes for autonomous manufacturing of plastic parts. The process is…”
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    Conference Proceeding