Accuracy in processing time estimation of different manufacturing operations is fundamental to get more competitive prices and higher profits in an industry. The manufacturing times of a machine depend on several input variables and, for each class or type of product, a regression function for that machine can be defined. Time estimations are used for implementing production plans. These plans ...

NeuroFAST is an on-line fuzzy modeling learning algorithm, featuring high function approximation accuracy and fast convergence. It is based on a first-order Takagi-Sugeno-Kang (TSK) model, where the consequence part of each fuzzy rule is a linear equation. Structure identification is performed by a fuzzy adaptive resonance theory (ART)-like mechanism, assisted by fuzzy rule splitting and adding...

The fuzzy inference system proposed by Takagi, Sugeno, and Kang, known as the TSK model in fuzzy system literature, provides a powerful tool for modeling complex nonlinear systems. Unlike conventional modeling where a single model is used to describe the global behavior of a system, TSK modeling is essentially a multimodel approach in which simple submodels (typically linear models) are combine...

In an intelligent manufacturing context, the smooth operations of mechanical equipment in production process enterprises and timely fault diagnosis during have become increasingly important. However, effect traditional depends on feature extraction quality experts’ empirical knowledge, which is inefficient costly, cannot match needs manufacturing. The TSK fuzzy system has a strong approximation...

The TSK mouse, a model of fibrosis, displays exaggerated connective tissue accumulation in skin and visceral organs including the heart. To study the mechanisms of myocardial fibrosis in TSK mice, we established several strains of TSK mice myocardial fibroblasts in culture and examined the regulation of collagen gene expression in these cells. These strains displayed increased collagen gene exp...

Introduction: After anterior cruciate ligament (ACL) injury, potential copers (PCs) and non-copers (NCs) are differentiated based on functional ability and knee stability. Due to frequent episodes of the knee giving way, rehabilitation specialists recommend NCs undergo ACL reconstruction (ACLR) prior to the resumption of sport activities. Some PCs opt to have non-operative management while othe...

OBJECTIVE Systemic sclerosis (SSc) is an autoimmune disease clinically manifesting as progressive fibrosis of the skin and internal organs. Cadherin-11 (CDH11) expression is increased in fibrotic skin and lung tissue. Targeting CDH11 may be an effective approach to treating fibrosis. We hypothesize that targeting CDH11 will decrease fibrosis in the tight skin-1 (Tsk-1) mouse model. METHODS CD...

Fuzzy logic controller is one of the most prominent research fields to improve efficiency for process industries, which usually stick conventional proportional-integral-derivative (PID) control. The paper proposes an improved version three-term PID-like fuzzy by removing necessity having user-defined parameters in place algorithm work. resulting non-parametric dissimilarity-based clustering was...

This paper presents a new method to control of robot manipulator in task space. In the proposed control method, a combination of feedback linearization, sliding mode control and first-order TSK fuzzy system has been utilized. In this method, the bounds of structural and non-structural uncertainties by using feedback linearization method are reduced and to overcome the remaining uncertainties, s...

The synchronization and control of chaos have been under extensive study by researchers in recent years. In this study, an adaptive Takagi–Sugeno–Kang (TSK) fuzzy self-organizing recurrent cerebellar model articulation controller (ATFSORC) is proposed, which composed a set TSK rules, (CMAC), CMAC (RCMAC), (SOCMAC), compensation controller. Specifically, SOCMAC, RCMAC, laws are adopted so that t...