Fuzzy control is a practical alternative for a variety of challenging control applications since it
provides a convenient method for constructing nonlinear controllers via the use of heuristic …

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

Sources of nonlinearity in a fuzzy controller include the fuzzification algorithm used for the
controller inputs; fuzzy control rules; type of fuzzy logic used for evaluating the fuzzy control …

In this paper, a parallel structure of fuzzy PID control systems is proposed. It is associated
with a new tuning method which, based on gain margin and phase margin specifications …

It has been proved that fuzzy controllers are capable of approximating any real continuous
control function on a compact set to arbitrary accuracy. In particular, any given linear control …

A practical procedure has been developed to systematically design nonlinear fuzzy
controllers to control processes whose mathematical models are unknown. The design …

While the design methodology for fuzzy controllers has proven itself in certain commercial
and industrial applications, there is a significant need to perform mathematical analysis of …

This thesis develops the idea of probabilistic arithmetic. The aim is to replace arithmetic
operations on numbers with arithmetic operations on random variables. Specifically, we are …

A fuzzy logic controller for a rotary, turbodynamic left ventricular assist system was
developed to optimize the delivery of blood flow without inducing suction in the ventricle …

The author analytically proves that a nonlinear fuzzy controller with linear control rules and
N members for input fuzzy sets is the sum of a global two-dimensional multilevel relay and a …