Fuzzy controllers are a class of knowledge based controllers using artificial intelligence
techniques with origins in fuzzy logic. They can be found either as stand-alone control …

Fuzzy c-means clustering algorithm (FCM) is a method that is frequently used in pattern
recognition. It has the advantage of giving good modeling results in many cases, although, it …

In recent years, a great number of publications have explored the use of genetic algorithms
as a tool for designing fuzzy systems. Genetic Fuzzy Systems explores and discusses this …

Proposes a simple but robust model independent self-tuning scheme for fuzzy logic
controllers (FLCs). Here, the output scaling factor (SF) is adjusted online by fuzzy rules …

Fuzzy Actor-Critic Learning (FACL) and Fuzzy Q-Learning (FQL) are reinforcement learning
methods based on dynamic programming (DP) principles. In the paper, they are used to …

The performance of a fuzzy logic controller depends on its control rules and membership
functions. Hence, it is very important to adjust these parameters to the process to be …

The authors propose an automatic fuzzy system design method that uses a genetic
algorithm and integrates three design stages. The method determines membership …

The authors propose a learning method for fuzzy inference rules by a descent method. From
input-output data gathered from specialists, the inference rules expressing the input-output …

Abstract Fuzzy model identification is an effective tool for the approx-imation of uncertain
nonlinear systems on the basis of measured data. The identification of a fuzzy model using …

Page 1 Fuzzy Logic in Control Rene Jager Page 2 Fuzzy Logic in Control PROEFSCHRIFT ter
verkrijging van de graad van doctor aan de Technische Universiteit Delft, op gezag van de …