What is it about?
The fuzzy logic is helping to reconstruct the uncertainty at the time of passing the deterministic borders or when there is no sufficient time to analyze and understand the last measurements. That is to form the next control command, which is triggered enough fast and in the direction where the final decision would be analytically devised. The main objective is robustness for a wide range of process parameters change that guarantees the stability and a fast response. The fuzzy logic is exclusively used where it was necessary.
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Why is it important?
It is conciliating the advanced methods and the time of execution.
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This page is a summary of: Fuzzy model predictive control of a DC-DC boost converter based on non-linear model identification, Mathematical and Computer Modelling of Dynamical Systems, September 2016, Taylor & Francis,
DOI: 10.1080/13873954.2016.1232283.
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