Model-based control using interval type-2 fuzzy logic systems
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Publication:1797748
DOI10.1007/S00500-016-2358-9zbMath1398.93184OpenAlexW2521202205MaRDI QIDQ1797748
Alexandre Mota, Rui Escadas Martins, Rómulo Antão
Publication date: 22 October 2018
Published in: Soft Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00500-016-2358-9
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Cites Work
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- A review on interval type-2 fuzzy logic applications in intelligent control
- Type-1 and type-2 fuzzy logic controller design using a hybrid PSO-GA optimization method
- Managing incomplete preference relations in decision making: a review and future trends
- Generalized predictive control. I: The basic algorithm
- The concept of a linguistic variable and its application to approximate reasoning. I
- An inverse controller design method for interval type-2 fuzzy models
- Accuracy and complexity evaluation of defuzzification strategies for the discretised interval type-2 fuzzy set
- The collapsing method of defuzzification for discretised interval type-2 fuzzy sets
- Computationally efficient model predictive control algorithms. A neural network approach
- Problems of identification and control
- Advantages of the Enhanced Opposite Direction Searching Algorithm for Computing the Centroid of An Interval Type-2 Fuzzy Set
- Self-tuning regulators : non-parametric algorithms
- Outline of a New Approach to the Analysis of Complex Systems and Decision Processes
- Nonlinear Model Predictive Control: An Introductory Review
- Fuzzy sets
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