Comparative study of conventional and interval type-2 fuzzy logic controllers for velocity regulation in Lego Mindstorms ev3 humanoids

DOI10.1007/978-3-030-67163-1_7zbMath1471.93197OpenAlexW3148499581MaRDI QIDQ1979779

Oscar Castillo, Camilo Caraveo, Fevrier Valdez, Cinthia Peraza

Publication date: 3 September 2021

Full work available at URL: https://doi.org/10.1007/978-3-030-67163-1_7

zbMATH Keywords

closed loop controlfuzzy logic controlproportional integralev3 Lego Mindstormsproportional integral derivative

Mathematics Subject Classification ID

Feedback control (93B52) Fuzzy control/observation systems (93C42) Automated systems (robots, etc.) in control theory (93C85)

Uses Software

• Matlab
• Simulink

Cites Work

• Optimization of PID controllers using ant colony and genetic algorithms
• Tuning of fractional PID controllers with Ziegler-Nichols-type rules
• The concept of a linguistic variable and its application to approximate reasoning. I
• Optimization of intelligent controllers using a type-1 and interval type-2 fuzzy harmony search algorithm
• Imperialist competitive algorithm with dynamic parameter adaptation using fuzzy logic applied to the optimization of mathematical functions
• A new fuzzy harmony search algorithm using fuzzy logic for dynamic parameter adaptation
• Optimization of type-2 fuzzy controllers using the bee colony algorithm
• Introduction to Genetic Algorithms
• Fuzzy sets

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