In statistical inference, the point estimation problem is very crucial and has a wide range of applications. When, we deal with some concepts such as random variables, the parameters of interest and estimates may be reported/observed as imprecise. Therefore, the theory of fuzzy sets plays an important role in formulating such situations. In this paper, we rst recall the crisp uniformly minimum ...

Dynamic forces between a 50 microm radius bubble driven towards and from a mica plate using an atomic force microscope in electrolyte and in surfactant exhibit different hydrodynamic boundary conditions at the bubble surface. In added surfactant, the forces are consistent with the no-slip boundary condition at the mica and bubble surfaces. With no surfactant, a new boundary condition that accou...

A fuzzy controller is suited to control Antilock Brake System (ABS) however time complexity of fuzzy controller is high order. Problem Solution Data Structure (PSDS) has been introduced as a data-oriented model of fuzzy controller to reduce the response time. Locally learning of PSDS controller has been left as an open issue. Fuzzy Learning Mechanism (FLM) has been introduced by using fuzzy inf...

Roll dynamics in heavy freight vehicles is characterized in driving conditions by the lateral load transfer coe  cient. The coe  cient tracking requires sophisticated measurement systems for assessing the wheels’ normal loading. In this paper a new recursive non-linear lateral load transfer estimator employing sensors that are already used on a vehicle in combination with additional units tha...

Grasp stability of a precision grip requires fine control of three-dimensional fingertip forces. This chapter begins with a review of the literature on how precision grip forces are affected by intrinsic object properties, anticipation, load direction, and sensory feedback. Previous studies have established that reactive, initial increases in grip forces (pulse-like ‘‘catch-up responses’’ in gr...

The innovative intelligent fuzzy weighted input estimation method which efficiently and robustly estimates the unknown time-varying input force in on-line is presented in this paper. The algorithm includes the Kalman Filter (KF) and the recursive least square estimator (RLSE), which is weighted by the fuzzy weighting factor proposed based on the fuzzy logic inference system. To directly synthes...

The performances of two different estimators of a discriminant function of a statistical pattern recognizer are compared. One estimator is based on binary label values of the objects of the learning set (hard labels) and the other on continuous or multi-discrete label values in the interval [03] (fuzzy labels). By the latter estimator more detailed a priori knowledge of the contributing learnin...

In this paper we proposes a new control strategy for an interior permanent magnet synchronous generator-based(IPMSG) variable speed wind turbine. In this scheme, the requirement of the continuous rotor position is eliminated as all the calculations are done in the stator reference frame.. The direct control scheme with fuzzy logic controller (FLC) is simpler and can eliminate some of the drawba...