Search Results - "M. Vallerio"

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  1. 1

    Approximate robust optimization of nonlinear systems under parametric uncertainty and process noise by Telen, D., Vallerio, M., Cabianca, L., Houska, B., Van Impe, J., Logist, F.

    Published in Journal of process control (01-09-2015)
    “…•Presentation of techniques for propagation of uncertainty.•Both parametric uncertainty as process noise are considered.•Uncertainty in objective function and…”
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    Journal Article
  2. 2

    A study of integrated experiment design for NMPC applied to the Droop model by Telen, D., Houska, B., Vallerio, M., Logist, F., Van Impe, J.

    Published in Chemical engineering science (16-03-2017)
    “…Nonlinear model predictive control (NMPC) has become an important tool for optimization based control of many (bio)chemical systems. A requirement for a…”
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    Journal Article
  3. 3

    Multi-objective optimal control of chemical processes using ACADO toolkit by Logist, F., Vallerio, M., Houska, B., Diehl, M., Van Impe, J.

    Published in Computers & chemical engineering (10-02-2012)
    “…► Fast & accurate generation of Pareto sets for dynamic chemical processes. ► Implementation in open source toolkit called ACADO Multi-Objective. ► Combine…”
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    Journal Article
  4. 4

    Towards nonlinear model predictive control with integrated experiment design by Telen, D., Vallerio, M., Bhonsale, S., Logist, F., Van Impe, J.

    Published in 2016 American Control Conference (ACC) (01-07-2016)
    “…Nonlinear model predictive control (NMPC) has become an important tool in the control and optimization of nonlinear systems in a variety of engineering…”
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    Conference Proceeding Journal Article
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