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An Otter Wiki
MSP
Syllabus
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2024-11-17 18:07:42
Nuno Oliveira
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* Sensitivity studies.
* Dynamical analysis.
* Linear / non-linear systems.
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* Structure and implementation in MATLAB / Octave.
4. **Microscopic mathematical models (distributed-parameter systems)**
1. Macroscopic and microscopic modeling approaches.
@@ 89,3 90,24 @@
* Method of lines (parabolic systems).
* Finite volume methods.
* Finite element models.
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5. **Process supervision**
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1. Hierarchical (multilayer) structure:
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* Planning and scheduling.
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* Real time optimization.
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* Mutivariable process control.
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* Direct control loops.
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2. Other functions in the Industry 4.0 (5.0) paradigm.
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3. Predictive (optimal) control:
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* Problem framework.
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* Objective functions.
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* Process / performance constraints.
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* Feedback and feedforward strategies.
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* Step response models and model sensitivities.
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* Dynamic matrix of the system.
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* Linear (QDMC) vs. nonlinear strategies.
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* Uncertainty and model updates (state values / model parameters).
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* MATLAB implementations of MPC.
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* Examples:
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* Biodiesel production reactor.
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* Petroleum refinery applications.
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*
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