More than 40 years after fuzzy logic control appeared as an effective tool to deal with
complex processes, the research on fuzzy control systems has constantly evolved. Mamdani …

Fuzzy control has long been applied to industry with several important theoretical results
and successful results. Originally introduced as model-free control design approach, model …

Fuzzy logic control was originally introduced and developed as a model free control design
approach. However, it unfortunately suffers from criticism of lacking of systematic stability …

Type-2 fuzzy sets are used for modeling uncertainty and imprecision in a better way. These
type-2 fuzzy sets were originally presented by Zadeh in 1975 and are essentially" fuzzy …

This paper addresses stability analysis and stabilization for Takagi-Sugeno fuzzy systems
via a so-called fuzzy Lyapunov function which is a multiple Lyapunov function. The fuzzy …

The automation of the overtaking maneuver is considered to be one of the toughest
challenges in the development of autonomous vehicles. This operation involves two …

This paper presents a sum of squares (SOS) approach for modeling and control of nonlinear
dynamical systems using polynomial fuzzy systems. The proposed SOS-based framework …

From the Publisher:" The emerging, powerful fuzzy control paradigm has led to the
worldwide success of countless commercial products and real-world applications. Fuzzy …

There has been a flurry of research activities in the analysis and design of fuzzy control
systems based on linear matrix inequalities (LMIs). This paper presents a descriptor system …

This paper presents a self-adaptive neuro-fuzzy inference system (SANFIS) that is capable
of self-adapting and self-organizing its internal structure to acquire a parsimonious rule-base …