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 …

This paper proposes an innovative tuning approach for fuzzy control systems (CSs) with a
reduced parametric sensitivity using the Grey Wolf Optimizer (GWO) algorithm. The CSs …

Nowadays, in order to achieve competitiveness in the manufacturing industry, quality and
reliability in design and manufacturing processes are essential factors. These requirements …

Modern aircraft turbojet engines represent complex systems where it is important to focus on
the issues of safety, reliability, efficiency and also the reduction of maintenance costs …

In this paper, the data processing platform for the detection of wearable Sports Physiological
Parameters Based on the medical Internet of things can be connected with the network to …

The paper deals with mathematical modeling of a small turbojet iSTC-21v with variable
exhaust nozzle. We evaluate and measure the appropriate parameters that describe the …

Many papers on fuzzy risk analysis calculate the similarity between fuzzy numbers. Usually,
they use symmetric and reflexive similarity measures between parameters of fuzzy sets or …

This paper proposes a model predictive control for a hybrid transformer (HT) with matrix
converter (MC). The proposed HT system is composed of a power transformer connected to …

Knowing the perceived exertion of workers during their physical activities facilitates the
decision‐making of supervisors regarding the worker allocation in the appropriate job …

Fuzzy logic, a subset of logical analysis, enables the implementation of uncertain, dynamic,
approximative, ambiguous, ongoing, and more real scenarios that are more like actual …