Introduction to Fuzzy Control

By Marcelo Simoes. 2003

975 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/1da134cd625b6e1d50f211441691ceb3a9c5ec08

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Evaluating strategies for sustainable development: fuzzy logic reasoning and sensitivity analysis (2004, methodology): “To combine the results of these rules into a single truth value, we use the union of the individual rule meanings via the max-operator (Driankov et al., 1996).”
Optimization of Interval Type-2 Fuzzy Logic Controllers for a Perturbed Autonomous Wheeled Mobile Robot Using Genetic Algorithms (2009, background): “However the majority of the publications mentioned above, have concentrated on kinematics models of mobile robots, which are controlled by the velocity input, while less attention has been paid to the control problems of non-holonomic dynamic systems, where forces and torques are the true inputs: Bl”
Is there a need for fuzzy logic? (2008, background): “The concept of a linguistic variable – and the associated calculi of fuzzy if–then rules – play pivotal roles in almost all applications of fuzzy logic [7,68,12,20,34,3,28,70,13,17,30,37,71,8,72,43,39,57,1,53].”
A survey on industrial applications of fuzzy control (2011, unknown): “Several excellent books and tutorial articles on fuzzy control are well-acknowledged [7–24].”
Ten years of genetic fuzzy systems: current framework and new trends (2001, background): “Fuzzy systems have demonstrated their ability for classification [6], modelling [54] or control [16], in a huge number of applications.”
A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems (2011, unknown): “Fuzzy systems have demonstrated their superb ability as system identification tools [22,61,107].”