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Preliminary Experiments with an Interval Model-Predictive- ...
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由 BJ Kubica 著作2016被引用 7 次 — Model-Predictive Control (MPC) is a popular advanced control technique, known for its robustness and simplicity in taking control constraints into account.
Preliminary Experiments with an Interval Model-Predictive- ...
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Request PDF | Preliminary Experiments with an Interval Model-Predictive-Control Solver | Model-Predictive Control (MPC) is a popular advanced control ...
Preliminary experiments with an interval Model-Predictive- ...
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In recent years, the interest grows in applying interval methods to compute MPC. The paper applies interval methods in a simple case. Numerical results for a ...
Preliminary Experiments with an Interval Model-Predictive-Control ...
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In recent years, the interest grows in applying interval methods to compute MPC. The paper applies interval methods in a simple case. Numerical results for a ...
Preliminary Experiments with an Interval Model-Predictive ...
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Preliminary Experiments with an Interval Model-Predictive-Control Solver ... model predictive control via interval analysis. In: 44th IEEE Conference on ...
Bartlomiej Kubica
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Preliminary experiments with an interval model-predictive-control solver. BJ Kubica. Parallel Processing and Applied Mathematics: 11th International ...
Reliable NonLinear Model-Predictive Control via Validated ...
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由 JAD Sandretto 著作2017被引用 4 次 — In this section, we present the three main tools exploited in this paper: MPC, interval analysis and validated simulation. 2.1 Model-Predictive ...
Model predictive control for linear systems with interval and ...
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The work examines the problem of model predictive control for uncer- tain linear dynamic systems with intervally assigned parameters and multiplicative ...
Post-doc position: Robust and guaranteed model predictive control
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Preliminary Experiments with an Interval Model-Predictive-Control Solver · B. Kubica. Computer Science, Engineering. Parallel Processing and Applied Mathematics.
Chapter 5 - Model Predictive Control
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Model predictive control (MPC) is an optimal-control based method to select control inputs by minimizing an objective function. The objective function.
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